diff --git a/.DS_Store b/.DS_Store
new file mode 100644
index 0000000..29105ff
Binary files /dev/null and b/.DS_Store differ
diff --git a/data/regression_data.csv b/data/regression_data.csv
index 1ec6d03..9f18126 100644
--- a/data/regression_data.csv
+++ b/data/regression_data.csv
@@ -1,21597 +1,21598 @@
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-600000152,6/2/14,3,1.5,2030,8880,1,0,0,3,7,1330,700,1963,0,98108,47.5586,-122.311,2140,5592,404000
-1840000030,5/29/14,3,1.75,1590,11914,1,0,2,3,7,1090,500,1957,0,98188,47.4427,-122.274,1630,9052,267500
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-3260800030,8/11/14,3,2.5,2440,7632,2,0,0,3,8,2440,0,1998,0,98003,47.3494,-122.301,2510,7903,335000
-2747100024,6/19/14,3,2.5,1940,9000,1,0,0,4,7,970,970,1948,0,98117,47.6933,-122.393,2190,7310,576000
-5104530560,4/1/15,3,2.5,2040,3810,2,0,0,3,8,2040,0,2006,0,98038,47.3537,-122,2370,4590,208633
-4330600350,1/15/15,3,2.25,2200,8750,1,0,0,4,7,1120,1080,1964,0,98166,47.476,-122.337,1460,10139,315000
-5016001535,2/17/15,3,1.75,1920,3300,1,0,0,4,8,960,960,1913,0,98112,47.6239,-122.298,1740,4000,725000
-7280300196,4/3/15,4,2.75,1800,7750,1,0,0,4,8,1400,400,1965,0,98177,47.7776,-122.384,1800,8275,550000
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-3204800200,1/8/15,4,2.75,3320,10574,2,0,0,5,8,2220,1100,1960,0,98056,47.5376,-122.18,2720,8330,665000
-3416600800,2/9/15,4,2.5,2370,4000,1.5,0,2,5,8,1980,390,1928,0,98144,47.601,-122.294,2440,5750,834000
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-1860600135,5/2/14,5,2.5,3650,9050,2,0,4,5,10,3370,280,1921,0,98119,47.6345,-122.367,2880,5400,2380000
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-1328320800,11/5/14,4,2.25,1950,7700,1,0,0,3,8,1350,600,1979,0,98058,47.4441,-122.125,2150,7350,305000
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-3422059208,5/11/15,3,2.5,1930,64904,1,0,0,4,8,1930,0,1988,0,98042,47.346,-122.157,2350,57500,390000
-9521101455,7/23/14,2,1,1470,3864,1,0,0,4,7,1170,300,1916,0,98103,47.6638,-122.345,1570,3864,548000
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-3353400435,7/21/14,3,2,1450,11204,1,0,0,3,7,1450,0,2003,0,98001,47.2639,-122.252,1520,9518,230000
-7972000240,2/2/15,3,1.75,1510,10248,1,0,0,3,7,1510,0,1969,0,98023,47.2929,-122.371,1510,9753,240000
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-7520000520,3/11/15,2,1,1240,12092,1,0,0,3,6,960,280,1922,1984,98146,47.4957,-122.352,1820,7460,240500
-3530210260,10/27/14,3,2.5,3030,45004,2,0,0,3,9,3030,0,1987,0,98077,47.7721,-122.093,3080,35781,274975
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-9542850320,7/25/14,3,2.25,2370,10289,1,0,0,4,9,1590,780,1977,0,98005,47.592,-122.166,2500,10004,790000
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-2946001550,4/16/15,6,1.75,2240,11180,2,0,0,4,7,2240,0,1955,0,98198,47.42,-122.323,1590,7955,279000
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-9550201550,4/8/15,2,1,1070,5000,1,0,0,3,7,1070,0,1924,0,98103,47.6666,-122.331,1710,5000,640000
-191100045,7/3/14,4,2,2490,9525,2,0,0,5,9,2490,0,1968,0,98040,47.5639,-122.217,2770,9525,940000
-5009600070,10/7/14,4,2.5,1960,5238,2,0,0,3,7,1960,0,2003,0,98038,47.3483,-122.052,1800,5894,260000
-200350070,6/2/14,3,2.75,2930,5569,1,0,0,3,9,1860,1070,2004,0,98072,47.7648,-122.164,2580,11045,559900
-2877103726,7/22/14,4,2,1510,3500,1.5,0,0,5,7,1510,0,1911,0,98103,47.6794,-122.357,1820,3750,791500
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-4268200055,5/1/15,3,1.75,1740,11547,1,0,0,3,7,1740,0,1954,0,98178,47.4945,-122.22,880,78408,245000
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-6414100671,9/9/14,3,1.75,2500,6840,1,0,0,3,8,1300,1200,1957,0,98125,47.7222,-122.32,1580,8691,425000
-7004200060,10/17/14,4,1.75,1275,20000,1,0,0,4,6,1275,0,1991,0,98070,47.3796,-122.49,1660,20000,309600
-7852110140,7/18/14,4,2.5,2580,5823,2,0,0,3,8,2580,0,2002,0,98065,47.5374,-121.875,2380,5823,552250
-3969300030,7/23/14,4,1,1000,7134,1,0,0,3,6,1000,0,1943,0,98178,47.4897,-122.24,1020,7138,165000
-3969300030,12/29/14,4,1,1000,7134,1,0,0,3,6,1000,0,1943,0,98178,47.4897,-122.24,1020,7138,239900
-4048400070,12/5/14,2,1,1070,32633,1,0,0,4,6,1070,0,1930,0,98059,47.4716,-122.078,1360,32156,320000
-808000070,10/21/14,3,2,1390,13464,1,0,0,4,7,1390,0,1987,0,98030,47.3581,-122.173,1720,12080,206600
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-7325600160,6/4/14,1,0.75,560,12120,1,0,0,3,4,560,0,1967,0,98014,47.675,-121.854,1300,19207,299000
-2757000030,9/22/14,4,2.75,2270,10460,2,0,0,3,9,2270,0,1965,0,98040,47.5603,-122.222,2610,10180,855000
-616000140,1/26/15,3,1,1900,14400,1,0,0,4,7,1300,600,1954,0,98166,47.4147,-122.337,1940,14400,315000
-3363900111,12/3/14,2,1,990,3120,1,0,2,5,7,790,200,1907,0,98103,47.68,-122.353,1930,3120,437500
-9262800171,3/24/15,4,1.5,1550,19800,1,0,0,4,7,1050,500,1969,0,98001,47.3117,-122.27,1640,22654,252000
-6607000126,6/4/14,4,1.75,2200,7475,1,0,0,5,7,1100,1100,1955,0,98118,47.543,-122.28,1600,5766,375000
-5416510830,8/6/14,4,2.5,1910,4862,2,0,0,3,7,1910,0,2005,0,98038,47.3607,-122.034,2010,5091,300000
-2201500030,10/6/14,4,1,1750,9600,1.5,0,0,4,7,1750,0,1954,0,98006,47.5759,-122.137,1750,10530,420000
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-952003285,8/5/14,3,2.5,2440,5750,2,0,2,3,9,1980,460,2000,0,98116,47.565,-122.381,1520,5750,679900
-3211290370,6/5/14,3,2.5,1640,29970,2,0,0,3,7,1640,0,1992,0,98053,47.6359,-121.974,1580,28399,463000
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-8856950070,12/10/14,4,2.5,1820,7912,2,0,0,3,7,1820,0,1994,0,98038,47.3845,-122.029,1820,8168,329500
-925059078,8/19/14,3,2.5,2110,5608,1,0,0,3,8,1340,770,2013,0,98033,47.6743,-122.184,2040,9363,604950
-7855801090,9/17/14,5,2.5,3040,9570,1,0,2,4,8,1640,1400,1966,0,98006,47.5651,-122.164,2920,8800,795000
-723099065,1/30/15,3,2,1840,40438,2,0,0,3,7,1840,0,1994,0,98045,47.4853,-121.709,1380,44049,465000
-6116500075,3/26/15,4,2.5,2990,10400,2,0,0,3,9,2990,0,2002,0,98166,47.4508,-122.359,2140,17449,673000
-1118500030,10/1/14,4,2.5,3520,15420,2,0,0,3,10,3520,0,1991,0,98074,47.6375,-122.016,3400,21455,810000
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-2231500030,10/1/14,4,2.25,2180,10754,1,0,0,5,7,1100,1080,1954,0,98133,47.7711,-122.341,1810,6929,315000
-2231500030,3/24/15,4,2.25,2180,10754,1,0,0,5,7,1100,1080,1954,0,98133,47.7711,-122.341,1810,6929,530000
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-2460700700,5/15/14,3,2,1650,7352,1,0,0,3,7,1160,490,1979,0,98058,47.4612,-122.169,1710,7350,252350
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-2890100060,8/1/14,4,1.5,2040,10726,1,0,0,3,7,1380,660,1954,0,98177,47.772,-122.358,1610,10020,385000
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-4047200695,6/18/14,3,2.5,1600,26977,2,0,0,3,8,1600,0,2005,0,98019,47.7736,-121.901,1790,27743,330000
-1653500070,5/12/14,4,2.75,3300,12090,2,0,0,3,8,3300,0,1953,0,98004,47.6294,-122.218,3180,12239,927000
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-3649100320,4/30/15,2,1,1220,10000,1,0,0,5,7,1220,0,1950,0,98028,47.7405,-122.241,2000,9600,330000
-7375300160,3/9/15,5,2.25,2720,8800,1,0,0,4,7,1500,1220,1958,0,98008,47.5976,-122.118,2110,8800,530000
-5175800060,6/23/14,4,2,1940,25600,1,0,0,1,8,1940,0,1962,0,98006,47.5722,-122.129,2000,10071,365000
-1604601375,6/19/14,3,2.5,2160,3000,1.5,0,0,3,7,1260,900,1909,2011,98118,47.5644,-122.289,1060,3500,378750
-2473251090,6/19/14,4,1.75,1530,8750,1.5,0,0,4,7,1530,0,1968,0,98058,47.4556,-122.157,1390,8750,269900
-9126100861,3/6/15,3,3.5,1710,2096,2,0,0,3,8,1290,420,2008,0,98122,47.6055,-122.305,1630,1543,557000
-3420069065,8/25/14,4,1.75,3730,16980,1,0,0,4,7,2150,1580,1974,0,98022,47.1775,-122.022,1880,16963,360000
-6021501685,4/22/15,2,1,940,5000,1,0,0,4,7,940,0,1937,0,98117,47.6879,-122.385,1560,4500,352000
-1151100070,2/24/15,3,2.5,1750,22357,2,0,0,3,8,1750,0,1994,0,98045,47.4807,-121.779,2430,22357,437000
-8856950240,6/18/14,4,2.5,1820,6753,2,0,0,3,7,1820,0,1994,0,98038,47.3845,-122.032,1820,7107,322500
-9385200055,9/12/14,3,3.25,1510,2000,2,0,0,3,9,1330,180,2001,0,98116,47.5815,-122.402,1510,1352,650000
-7821200390,8/6/14,3,2,1290,1213,3,0,0,3,8,1290,0,2001,0,98103,47.6609,-122.344,1290,3235,450000
-8078520310,4/17/15,3,2,1570,5250,1,0,0,3,7,1570,0,1998,0,98092,47.3163,-122.188,1570,5250,278500
-1565950030,4/27/15,4,2.5,1930,6957,2,0,0,3,8,1930,0,1995,0,98055,47.4309,-122.191,2090,6996,364950
-1560930070,9/11/14,4,3.5,2840,40139,1,0,4,4,10,2840,0,1986,0,98038,47.401,-122.026,3180,36852,840000
-6700400140,3/18/15,3,2.5,1550,8134,2,0,0,3,7,1550,0,1991,0,98031,47.404,-122.191,1550,8134,268000
-2422029094,7/16/14,2,1,833,143947,1,0,0,3,5,833,0,2006,0,98070,47.3889,-122.482,1380,143947,517534
-1774220160,11/4/14,3,2.5,2990,32239,2,0,0,4,8,2990,0,1978,0,98077,47.7718,-122.095,2990,36497,632925
-1525200060,7/23/14,3,2.5,2000,7251,2,0,0,3,9,2000,0,1995,0,98034,47.7067,-122.2,2450,8118,577500
-1678400105,2/12/15,4,1.5,2390,7480,1.5,0,2,3,7,2390,0,1920,0,98178,47.504,-122.227,2850,6867,339000
-3426059070,9/9/14,3,1.75,2910,37461,1,0,0,4,7,1530,1380,1967,0,98052,47.7015,-122.164,2520,18295,570000
-824079032,6/26/14,4,1.75,2085,174240,1,0,0,3,7,1610,475,1964,0,98024,47.5753,-121.95,2690,174240,563500
-2697100140,1/5/15,4,2.25,2200,9351,1,0,0,5,7,1290,910,1962,0,98133,47.7448,-122.333,1910,8660,423000
-8724300030,12/23/14,3,2.25,1860,5028,2,0,0,3,8,1860,0,2012,0,98019,47.7318,-121.982,2320,5465,355000
-8678500060,7/10/14,5,4.25,6070,171626,2,0,0,3,12,6070,0,1999,0,98024,47.5954,-121.95,4680,211267,1550000
-625049299,12/3/14,2,1,950,3960,1,0,0,3,7,950,0,1941,0,98103,47.6885,-122.337,1320,4050,482000
-6073200075,7/30/14,3,1.75,1600,9135,1,0,0,5,7,1600,0,1955,0,98006,47.5724,-122.179,1580,9800,625000
-6388900710,12/19/14,3,2.5,2250,11632,2,0,0,3,8,2250,0,1988,0,98056,47.5272,-122.169,2360,11632,538000
-1442860160,1/7/15,3,2.5,2280,10255,2,0,0,4,8,2280,0,1985,0,98058,47.4334,-122.161,2310,10094,380000
-7942600310,7/17/14,2,1,940,5120,1,0,0,3,7,940,0,1909,0,98122,47.6073,-122.308,1300,5120,375000
-1545808560,4/3/15,3,2.5,1530,8500,1,0,0,5,7,1030,500,1996,0,98038,47.3592,-122.046,1850,8140,245000
-936000060,11/14/14,5,1.75,2190,27260,1,0,0,4,7,2190,0,1947,1974,98166,47.4546,-122.337,1620,39480,310000
-9808650060,2/25/15,3,2,2350,15021,1,0,0,4,8,1770,580,1976,0,98004,47.6408,-122.219,3530,15715,1300000
-3754700160,5/6/14,4,2,1440,7680,1,0,0,3,7,1200,240,1971,0,98034,47.7245,-122.2,1460,9660,397000
-305500140,5/12/15,3,2.5,2200,4052,2,0,0,3,8,2200,0,2005,0,98058,47.4362,-122.178,2310,5082,365000
-5468750060,10/28/14,4,3,2290,8250,2,0,0,3,9,2290,0,1990,0,98042,47.3739,-122.156,2290,8250,328500
-2944010240,9/8/14,4,3,4040,19700,2,0,0,3,11,4040,0,1987,0,98052,47.7205,-122.127,3930,21887,988000
-3454000060,7/22/14,4,2.5,2610,3277,1.5,0,0,5,8,1920,690,1922,0,98103,47.6636,-122.33,1810,3277,1000000
-646910160,9/3/14,3,2.5,1490,2138,2,0,0,3,7,1490,0,2005,0,98055,47.4324,-122.197,1490,2094,237000
-8564950390,9/19/14,4,2.5,2450,5280,2,0,0,3,8,2450,0,2003,0,98011,47.7734,-122.224,2300,4674,525000
-2268400350,9/16/14,4,2.5,1710,9627,1,0,0,3,9,1440,270,1976,2014,98006,47.559,-122.164,2140,9131,749000
-7504101040,8/21/14,5,2.5,4870,11800,2,0,0,3,10,3470,1400,1983,0,98074,47.633,-122.041,3180,11398,722500
-11500890,3/12/15,3,2.5,3130,8750,2,0,0,3,10,3130,0,1991,0,98052,47.6954,-122.103,2860,9003,843000
-9528102772,7/8/14,2,2,1270,1372,3,0,0,3,8,1270,0,2000,0,98115,47.6776,-122.318,1610,3090,438000
-284000223,9/16/14,3,1.75,2120,10875,1,0,2,3,8,1540,580,1977,0,98146,47.504,-122.382,2460,11760,578000
-3353401710,9/23/14,3,1.5,1670,8230,1,0,0,5,7,1670,0,1954,0,98001,47.2613,-122.255,2077,4910,227950
-8159610030,7/22/14,3,2.25,2070,11576,2,0,0,3,7,2070,0,1974,0,98001,47.3417,-122.271,1890,7519,196000
-3179100435,7/15/14,2,1,1420,5332,1,0,0,3,8,1070,350,1953,0,98105,47.6694,-122.275,2400,5406,641000
-822079033,4/22/15,3,1.5,1250,219978,1,0,0,4,6,1250,0,1980,0,98038,47.4056,-121.955,1930,210394,350000
-8857600960,8/19/14,3,1,940,7980,1,0,0,4,7,940,0,1960,0,98032,47.3838,-122.289,1150,8050,205000
-1774000200,12/2/14,3,1.75,1920,9102,1,0,0,3,7,1920,0,1968,0,98072,47.7487,-122.082,1920,9760,400000
-2024069128,11/10/14,3,2.5,3545,9816,1,0,0,3,10,2610,935,2005,0,98027,47.5534,-122.078,3630,7704,1030000
-1049010390,3/19/15,3,2,1260,5460,1,0,0,3,7,1260,0,1972,0,98034,47.7355,-122.18,1510,5460,505000
-7905370390,10/9/14,5,2.5,2340,7200,1,0,0,3,7,1300,1040,1975,0,98034,47.7206,-122.211,1930,7221,475000
-4140090240,11/5/14,3,2.25,2590,9263,1,0,0,5,8,1440,1150,1977,0,98028,47.7691,-122.262,2580,9450,520000
-4055700030,5/2/15,3,4.5,3970,24920,2,0,2,3,10,3260,710,1977,1999,98034,47.7183,-122.258,2610,13838,1450000
-3775300030,12/31/14,3,1.75,1220,9732,1,0,0,3,7,1220,0,1965,0,98011,47.7736,-122.214,1630,10007,333500
-2525300030,2/22/15,3,1,1400,10403,1,0,0,4,6,1400,0,1976,0,98038,47.362,-122.029,1230,10209,232000
-1324059104,4/21/15,3,2.75,2360,16117,1,0,0,4,8,1710,650,1983,0,98006,47.5698,-122.121,2120,16117,691100
-2287000030,10/14/14,3,1.75,1870,9897,1,0,0,4,8,1870,0,1960,0,98040,47.5505,-122.221,1900,10005,811000
-7702010030,5/20/14,3,2.5,2830,5802,2,0,0,3,9,2830,0,2001,0,98028,47.7605,-122.234,2500,5788,551000
-1529200340,1/8/15,3,2.5,2260,3640,2,0,0,3,8,2260,0,1994,0,98072,47.7356,-122.157,2350,3710,496500
-2122039094,11/26/14,3,3,1970,20978,2,1,3,4,9,1770,200,1980,0,98070,47.3844,-122.438,2280,75396,705000
-1742800030,6/12/14,4,2.5,3140,9225,1,0,2,5,9,1770,1370,1966,0,98055,47.4904,-122.226,2460,9600,578000
-1796360350,1/28/15,3,1.75,1240,8659,1,0,0,5,7,1240,0,1986,0,98042,47.3663,-122.089,1490,8223,255000
-6154500070,6/26/14,4,3.5,3450,7832,2,0,0,3,10,3450,0,2007,0,98006,47.5637,-122.123,3220,8567,1050000
-1843100340,3/5/15,3,2.25,2570,8491,2,0,0,4,8,2570,0,1989,0,98042,47.3759,-122.125,2400,8049,348000
-8944290160,11/4/14,3,2,1510,3413,2,0,0,3,7,1510,0,1985,0,98031,47.3912,-122.167,1570,3777,230000
-4166600473,12/9/14,4,2.25,2390,11250,2,0,0,3,9,2390,0,1988,0,98023,47.3305,-122.371,2480,11250,359500
-7282300125,11/12/14,3,1,980,7000,1,0,0,3,6,980,0,1953,0,98133,47.7617,-122.357,1220,7000,330000
-8658300340,5/23/14,1,0.75,430,5050,1,0,0,2,4,430,0,1912,0,98014,47.6499,-121.909,1200,7500,80000
-2419600075,12/1/14,3,1.75,1480,6360,1,0,0,3,7,1480,0,1954,0,98133,47.7311,-122.353,1480,6360,465000
-2621760350,10/15/14,4,2.5,1850,7324,2,0,0,3,8,1850,0,1997,0,98042,47.3701,-122.107,2100,7329,325000
-1723049270,1/7/15,3,2,2270,28025,1,0,0,4,7,1920,350,1947,0,98168,47.4857,-122.318,1770,14833,340500
-4123840310,1/6/15,3,2.5,1810,5192,2,0,0,3,8,1810,0,1993,0,98038,47.3724,-122.042,1810,6200,342500
-2172000075,6/23/14,2,2,1610,17600,2,0,0,3,6,1610,0,1930,1983,98178,47.4855,-122.266,1310,12950,290900
-8651611170,2/13/15,3,4.25,3840,6161,2,0,0,3,10,3840,0,2000,0,98074,47.6336,-122.064,3230,7709,868700
-8820902200,11/13/14,4,2.75,4110,8400,2,0,1,3,9,3130,980,1928,2013,98125,47.717,-122.281,2820,8400,1200000
-8651610890,10/14/14,4,3.25,4190,10259,2,0,0,3,11,3150,1040,2000,0,98074,47.6332,-122.066,4300,11919,1150000
-1853080570,8/11/14,4,2.75,3390,6298,2,0,0,3,9,3390,0,2011,0,98074,47.5906,-122.062,3390,7111,859900
-3629920030,8/8/14,4,2.25,1890,3006,2,0,0,3,7,1890,0,2003,0,98029,47.5461,-121.998,1580,3000,520000
-1604602050,7/11/14,3,2.5,1610,2527,2,0,2,3,9,1080,530,2005,0,98118,47.5674,-122.29,1610,4173,460000
-6844700810,9/1/14,3,1.5,1050,4590,1,0,0,3,7,850,200,1949,0,98115,47.6943,-122.29,1770,5400,438924
-66000070,4/6/15,2,1,630,6550,1,0,0,3,5,630,0,1918,0,98126,47.5486,-122.38,1420,6550,315000
-6665800030,7/18/14,4,2.75,2910,10650,1,0,2,3,8,1780,1130,1975,0,98033,47.6658,-122.188,2920,10988,590000
-2205700350,11/4/14,4,1.75,1700,8640,1,0,0,3,7,850,850,1955,0,98006,47.5772,-122.153,1620,9000,378500
-5466000030,6/3/14,3,2.5,1950,8130,2,0,0,4,9,1950,0,1990,0,98042,47.3875,-122.161,2350,7691,328500
-6189200125,3/25/15,3,3,2990,9773,2,0,0,4,8,2990,0,1973,0,98005,47.6344,-122.174,2230,11553,849950
-9169600135,10/27/14,3,1.5,1350,6000,1,0,2,3,7,900,450,1950,0,98136,47.5275,-122.391,1730,6012,525000
-2625069070,4/10/15,4,3.25,4860,181319,2.5,0,0,3,9,4860,0,1993,0,98074,47.6179,-122.005,3850,181319,1390000
-8732131090,4/28/15,4,2.5,2160,7725,1,0,0,4,8,1460,700,1978,0,98023,47.3078,-122.378,2060,8250,295000
-9286000240,7/11/14,6,3.5,4860,11793,2,0,0,3,11,3860,1000,1998,0,98006,47.5521,-122.137,3600,11793,1070000
-1895000260,7/21/14,2,2,890,5000,1,0,0,3,6,890,0,1917,0,98118,47.5158,-122.264,1860,5000,207950
-8691370400,12/16/14,4,2.75,2810,7302,2,0,0,3,9,2810,0,2002,0,98075,47.5985,-121.977,2820,7302,699900
-5423010350,2/10/15,5,2.5,3400,9500,2,0,1,4,8,3400,0,1977,0,98027,47.5645,-122.082,3080,11081,1280000
-8562501040,11/20/14,4,1.5,1580,7350,1,0,0,4,7,960,620,1963,0,98052,47.6734,-122.154,1560,7350,452000
-2475200140,2/5/15,3,2,1680,5036,1,0,1,4,7,1680,0,1987,0,98055,47.4734,-122.186,1680,4921,370000
-7942100310,1/27/15,3,1.75,1300,11230,1,0,0,5,7,1300,0,1968,0,98042,47.3811,-122.087,1300,10794,232000
-3760000030,10/30/14,5,2.5,2820,14062,2,0,0,4,7,2380,440,1960,0,98034,47.7081,-122.215,1910,10392,669950
-1727500340,6/14/14,3,2,1510,6710,1,0,0,3,7,1070,440,1972,0,98034,47.7193,-122.216,1660,6600,397500
-9828702519,5/12/14,2,2.5,1230,1391,2,0,0,3,8,870,360,2004,0,98112,47.6192,-122.301,1240,1350,490000
-4432600075,1/28/15,4,2,2110,4140,2,0,0,3,9,1710,400,1925,2003,98116,47.5836,-122.387,1440,4420,725000
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-8078570390,4/15/15,3,2.5,1920,7415,2,0,0,3,7,1920,0,1989,0,98031,47.4022,-122.171,1930,7536,260000
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-2095800400,11/13/14,3,2.5,2090,8653,2,0,0,3,8,2090,0,1989,0,98011,47.7498,-122.184,2090,6396,455000
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-4401150070,6/23/14,3,2.5,2280,7417,2,0,0,3,8,2280,0,1998,0,98001,47.3557,-122.278,2370,6443,320000
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-2636900126,3/12/15,4,2.5,1570,9600,1,0,0,3,7,800,770,1972,0,98155,47.7757,-122.303,1340,9110,365000
-1842900030,4/16/15,3,1.5,1200,11935,1,0,0,4,7,1200,0,1968,0,98042,47.3434,-122.082,1350,11935,234000
-1761300310,8/27/14,4,2,1710,8288,1.5,0,0,3,7,1710,0,1970,0,98031,47.3947,-122.174,1710,7200,211000
-5249800729,3/30/15,6,3.5,3000,6320,2,0,2,3,8,2400,600,1969,0,98118,47.562,-122.279,1720,6360,680000
-5104511600,11/12/14,4,3,2800,7845,2,0,0,3,8,2800,0,2002,0,98038,47.3544,-122.013,2800,6977,457000
-8663370060,10/9/14,3,2.25,1640,7261,2,0,0,3,7,1640,0,1989,0,98034,47.7192,-122.176,1640,6789,349000
-613400030,10/24/14,3,2.75,2030,6840,1,0,0,3,7,1210,820,1979,0,98108,47.5413,-122.299,1910,6365,360000
-6004510240,4/14/15,4,2.5,2530,10155,2,0,0,3,8,2530,0,1998,0,98042,47.351,-122.146,2330,7205,350000
-1450100070,4/30/15,3,1,990,7420,1,0,0,5,6,990,0,1960,0,98002,47.2898,-122.221,1010,7420,208000
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-6117501820,4/28/15,2,1,790,11234,1,0,0,4,6,790,0,1942,0,98166,47.4413,-122.349,1930,11871,435000
-5420300240,12/5/14,3,1.75,1800,7763,1,0,0,3,6,1470,330,1984,0,98030,47.3766,-122.184,1440,7483,270000
-4140900140,5/27/14,3,1.75,1650,12940,1,0,0,4,7,1650,0,1961,0,98028,47.7629,-122.268,2830,12600,438000
-1630700135,11/19/14,4,2,1980,23625,2,0,0,3,8,1980,0,1938,1984,98072,47.7553,-122.092,2300,24640,659000
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-8682281170,11/13/14,2,1.75,1510,6852,1,0,0,3,8,1510,0,2005,0,98053,47.7073,-122.012,1510,5912,449000
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-2473400570,5/16/14,3,2,1760,11410,1,0,0,5,7,1060,700,1977,0,98058,47.4528,-122.163,1680,9165,317000
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-1926049355,10/28/14,5,2,2620,7030,1,0,0,3,8,1420,1200,1965,0,98133,47.7338,-122.352,1360,7964,399000
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-8732131200,8/8/14,3,1.75,2270,9000,1,0,0,4,8,1330,940,1978,0,98023,47.3077,-122.381,2090,8400,258000
-1624079051,7/10/14,2,2.5,2410,102366,1,0,0,4,7,1940,470,1912,1989,98024,47.5629,-121.918,2460,310582,600000
-993001629,11/17/14,3,2.75,1120,881,3,0,0,3,8,1120,0,1999,0,98103,47.6914,-122.343,1120,1087,265000
-3832711040,4/24/15,5,2.75,3030,7000,1,0,0,4,7,1540,1490,1978,0,98032,47.3661,-122.28,1790,7330,321000
-5244801230,8/29/14,5,2.25,2120,4000,1.5,0,0,4,7,1720,400,1910,0,98109,47.644,-122.353,1960,4000,682000
-2798600240,11/14/14,4,2.5,1720,5805,2,0,0,3,8,1720,0,2000,0,98092,47.3286,-122.208,2360,7700,295700
-5701800030,5/6/14,4,2.5,2150,37981,2,0,0,3,9,2150,0,1985,0,98052,47.7227,-122.098,2450,37981,609000
-7636800041,6/25/14,3,4.5,4380,47044,2,1,3,3,9,3720,660,1968,1990,98166,47.4734,-122.365,2460,18512,995000
-3904901200,8/18/14,3,2.25,2010,11817,2,0,0,4,8,2010,0,1986,0,98029,47.5665,-122.023,2190,10168,530000
-4109600055,12/29/14,5,2.5,3150,5150,2,0,0,5,8,1870,1280,1907,2004,98118,47.5506,-122.269,1550,5150,614000
-3339400349,11/24/14,3,2.5,2500,21780,1,0,0,3,8,1770,730,1986,0,98092,47.3282,-122.198,2670,23400,390000
-7202340370,11/10/14,3,2.5,1690,6642,2,0,0,3,7,1690,0,2004,0,98053,47.6793,-122.033,2120,5080,467000
-9477500060,8/13/14,6,2.5,3300,13501,1,0,0,3,8,2060,1240,1980,0,98059,47.5116,-122.163,2060,8745,484000
-4310701600,11/13/14,3,2.5,1240,1115,3,0,0,3,8,1240,0,2003,0,98103,47.6985,-122.34,1410,1355,340000
-2215450060,12/23/14,3,2.5,2200,7201,2,0,0,3,8,2200,0,1994,0,98030,47.3821,-122.207,2250,7240,302495
-2919702075,9/25/14,3,1.75,1620,3360,1,0,0,5,7,980,640,1927,0,98117,47.6886,-122.361,1400,3840,532500
-8079030350,9/10/14,3,2.5,2420,9592,2,0,0,3,8,1780,640,1993,0,98059,47.5093,-122.153,2420,9145,441500
-7893804340,7/24/14,4,2.5,2680,8062,1,0,3,4,7,1530,1150,1967,0,98198,47.4132,-122.328,1920,8600,470000
-4389200765,6/25/14,4,3.25,4250,8570,2,0,0,3,9,4250,0,2004,0,98004,47.6154,-122.21,2830,12821,2300000
-1822069116,12/17/14,3,2.5,2400,99752,1,0,0,3,9,2400,0,1996,0,98058,47.3917,-122.084,2800,98010,590000
-7276100282,7/29/14,3,1.75,2300,12000,1,0,0,3,8,1770,530,1942,0,98133,47.7599,-122.343,2030,6000,320000
-567000392,11/3/14,2,2,920,1201,2,0,0,3,8,800,120,2009,0,98144,47.5926,-122.295,1150,1161,363000
-5729200030,7/7/14,4,2.25,2350,18600,2,0,0,4,9,2350,0,1977,0,98028,47.7473,-122.257,2880,14400,747500
-8682220390,7/23/14,2,2.5,2630,7957,2,0,0,3,8,2630,0,2003,0,98053,47.7106,-122.023,2305,7220,750000
-9828700200,5/5/14,4,3,2170,4000,2,0,0,4,9,1610,560,1982,2011,98112,47.6196,-122.292,1670,4000,831000
-7852180560,4/24/15,3,2.5,1700,4125,2,0,0,3,7,1700,0,2004,0,98065,47.5305,-121.854,1970,4105,403000
-3655400060,8/8/14,3,2.5,2470,4565,2,0,0,3,7,2470,0,2005,0,98056,47.514,-122.189,2470,5064,445000
-7955030060,3/26/15,3,1,1250,17380,1,0,0,4,7,1250,0,1970,0,98072,47.7502,-122.108,1410,18200,345000
-8964800445,2/9/15,3,3.5,3110,14872,1,0,0,3,10,3110,0,2003,0,98004,47.6178,-122.209,3110,12433,2260000
-6204410200,6/16/14,3,2,1530,8925,1,0,0,3,7,1530,0,1977,0,98011,47.736,-122.199,2040,8856,371025
-7625702400,7/30/14,2,1,960,6250,1,0,0,3,6,960,0,1916,0,98136,47.5491,-122.386,1350,6250,355000
-5113200310,9/9/14,3,1,1240,14110,1,0,0,4,7,1240,0,1972,0,98058,47.4579,-122.09,2060,19350,270000
-7893802800,6/5/14,4,2.75,2440,15349,2,0,1,4,7,2440,0,1957,0,98198,47.4117,-122.333,2280,9250,425000
-2473003210,3/13/15,3,1.75,2320,7875,1,0,0,3,8,1620,700,1967,0,98058,47.4524,-122.146,1990,9720,364808
-1402600570,1/13/15,3,2.25,1580,6561,1,0,0,3,8,1200,380,1981,0,98058,47.4394,-122.14,1710,7241,320000
-8944460030,10/14/14,4,2.5,2963,5797,2,0,0,3,9,2963,0,2006,0,98030,47.3831,-122.185,2665,6119,325000
-2473480560,9/4/14,3,2.25,2470,10290,2,0,0,3,8,2230,240,1984,0,98058,47.4459,-122.124,1970,10150,350000
-3365900465,2/19/15,3,1.5,1370,10176,1,0,0,3,6,1370,0,1947,0,98168,47.4738,-122.263,1650,10176,170000
-5341600030,5/9/14,2,1,960,28717,1,0,0,4,6,960,0,1984,0,98070,47.3356,-122.502,1860,28717,255000
-6073500160,12/10/14,3,1,1130,7500,1,0,0,3,7,880,250,1947,0,98117,47.6973,-122.389,2190,5250,550000
-2025760160,7/3/14,4,4.25,4930,25714,2,0,0,3,12,4930,0,2005,0,98092,47.3069,-122.148,3620,23035,835000
-9393700140,3/10/15,3,1,1150,5120,1,0,0,4,6,800,350,1946,0,98116,47.5588,-122.392,1220,5120,420000
-5458800125,5/14/14,4,2.5,2190,7350,2.5,0,0,5,8,2190,0,1958,0,98040,47.5786,-122.236,1880,7350,925000
-2492200435,6/6/14,2,1.5,1490,4080,1,0,0,3,7,930,560,1956,0,98126,47.5344,-122.381,1320,4080,389250
-3759500046,5/1/15,3,2.5,2600,10183,1,0,0,3,8,1300,1300,2004,0,98033,47.6984,-122.201,1860,10401,748000
-8648220260,3/24/15,3,1.75,1530,9600,1,0,0,3,7,1200,330,1988,0,98042,47.3594,-122.076,1680,9680,284000
-6392001670,6/11/14,4,2,1680,5000,1,0,0,3,7,980,700,1950,0,98115,47.6858,-122.286,1680,6000,588000
-2026049155,3/20/15,3,1.75,1680,8648,1,0,0,4,7,1680,0,1963,0,98133,47.7338,-122.332,1290,8147,372500
-2329800240,2/18/15,4,3,1900,7194,2,0,0,4,7,1900,0,1988,0,98042,47.3768,-122.117,1690,7194,285000
-3380900125,5/27/14,3,1,1570,9467,1,0,0,3,7,1570,0,1954,0,98177,47.7683,-122.359,1570,9100,360000
-1324079041,11/18/14,3,1,1370,17859,1,0,0,4,7,1150,220,1930,0,98024,47.5617,-121.859,1460,47044,275000
-8682230550,9/16/14,2,2,1350,4225,1,0,0,3,8,1350,0,2003,0,98053,47.7106,-122.03,1660,4225,428000
-853400240,3/25/15,6,2.5,3010,17864,2,0,0,3,8,3010,0,1969,0,98177,47.7209,-122.372,2560,11532,847000
-2130702075,9/26/14,3,1,1010,7838,1,0,0,4,6,1010,0,1977,0,98019,47.7422,-121.981,1380,8128,316000
-3260810260,5/5/15,3,2.5,2050,7205,2,0,0,3,8,2050,0,2000,0,98003,47.3487,-122.304,2050,7264,375000
-2878600200,5/8/14,3,1,1670,4080,1,0,0,3,7,1170,500,1967,0,98115,47.6899,-122.321,1560,4080,533000
-7298040310,5/23/14,5,2.5,3840,16905,2,0,0,3,11,3840,0,1991,0,98023,47.2996,-122.342,3270,12133,556000
-766000240,9/15/14,4,2,2220,14120,1,0,0,3,7,1200,1020,1966,0,98042,47.361,-122.116,1300,9709,225000
-3459700340,10/30/14,4,2.5,2590,9530,1,0,0,4,8,1640,950,1978,0,98155,47.7752,-122.285,2710,10970,537250
-2473251180,12/17/14,3,1,1180,13650,1,0,0,4,7,1180,0,1967,0,98058,47.4551,-122.154,1460,11730,255000
-2407900200,4/9/15,4,2.5,2950,4836,2,0,0,3,7,2950,0,2006,0,98059,47.479,-122.129,2120,4750,530000
-7558700030,4/13/15,6,6,7390,24829,2,1,4,4,12,5000,2390,1991,0,98040,47.5631,-122.21,4320,24619,5300000
-203600140,3/24/15,3,2.75,2150,31238,2,0,0,3,9,2150,0,1996,0,98014,47.6596,-121.96,2650,38307,595000
-4037800140,8/14/14,4,2,2100,8880,1,0,0,4,7,2100,0,1958,0,98008,47.6115,-122.124,1280,9102,548000
-1683600240,3/20/15,3,1.75,1650,8073,1,0,0,3,7,1100,550,1980,0,98092,47.3187,-122.182,1280,8073,234975
-1962200036,8/19/14,3,1.75,1620,1325,2.5,0,0,3,9,1430,190,2005,0,98102,47.6498,-122.321,1750,1572,600000
-1775800510,3/24/15,4,1,1750,12528,1,0,0,4,7,1750,0,1967,0,98072,47.743,-122.097,1550,14120,432000
-1822350070,2/2/15,3,1.5,1380,6657,2,0,0,3,7,1380,0,1986,0,98034,47.7085,-122.217,1420,8187,455000
-7772400160,10/24/14,3,1.75,1510,11234,1,0,0,3,7,1210,300,1965,0,98155,47.7571,-122.328,2080,9076,279950
-273900030,10/20/14,3,1.5,1600,9072,1,0,0,4,7,1600,0,1963,0,98030,47.3737,-122.216,1710,8000,267500
-3323069084,9/9/14,4,2.5,1840,220308,2,0,0,3,8,1840,0,2000,0,98038,47.4306,-122.049,1890,65340,620000
-4337000160,1/27/15,2,1,830,7590,1,0,0,2,6,830,0,1943,0,98166,47.4784,-122.335,980,7590,110000
-9126100550,5/13/14,3,3.5,1810,1846,2,0,0,4,8,1440,370,2009,0,98122,47.607,-122.305,1480,3600,625000
-5101405274,5/29/14,2,1,910,7000,1,0,0,3,7,910,0,1952,0,98115,47.6999,-122.305,1260,7528,389000
-4232400860,6/30/14,4,2,2120,3360,2,0,0,3,9,2120,0,1905,0,98112,47.6227,-122.31,2090,3600,1200000
-2723069082,4/24/15,4,2.25,2510,133729,2,0,0,4,8,2510,0,1977,0,98027,47.4569,-122.02,2510,69696,788500
-7436500270,7/25/14,5,2.25,2100,6936,1,0,0,3,8,1600,500,1974,0,98033,47.6737,-122.169,2100,8661,567000
-5153200030,1/13/15,2,2.25,2690,15000,1,0,2,3,8,1870,820,1987,0,98023,47.3361,-122.353,2690,15000,515000
-4022900125,9/2/14,4,2.5,2430,11870,1,0,0,5,8,1590,840,1968,0,98155,47.7761,-122.285,2430,9600,605000
-7841300505,10/27/14,4,3.75,2452,4800,2,0,0,3,7,2452,0,1936,1994,98055,47.4744,-122.213,1180,4800,430000
-573000685,7/17/14,2,1.75,1550,6000,1,0,1,3,7,1550,0,1920,0,98199,47.6712,-122.409,2360,6000,805000
-8961990160,4/13/15,3,2.5,2080,4556,2,0,0,3,8,2080,0,1999,0,98074,47.6036,-122.014,1530,5606,567500
-1250202255,6/5/14,3,1.75,1290,3870,1,0,0,5,7,1290,0,1916,0,98144,47.5873,-122.29,2020,5850,647500
-7234600796,11/26/14,2,1.75,1850,2530,2.5,0,0,4,7,1850,0,1903,0,98122,47.6106,-122.31,1500,1795,495000
-3630180340,11/4/14,4,2.5,3370,5000,2,0,0,3,9,3370,0,2006,0,98027,47.541,-121.998,3370,5237,825000
-5104450070,3/9/15,4,2.25,2730,7506,2,0,0,4,8,2730,0,1987,0,98058,47.4627,-122.152,2390,8015,435000
-9477100060,9/9/14,3,1.75,1300,7800,1,0,0,5,7,1300,0,1968,0,98034,47.7321,-122.195,1520,7344,445950
-4139440830,6/3/14,5,2.75,3040,10257,2,0,0,3,10,3040,0,1993,0,98006,47.5531,-122.119,2860,9327,960000
-6772200055,9/17/14,4,3,2440,3600,1.5,0,0,5,8,1480,960,1929,0,98103,47.6853,-122.331,1770,4000,780000
-8731982190,6/18/14,3,2.25,1720,9000,1,0,0,4,8,1320,400,1969,0,98023,47.3191,-122.383,1930,8000,274500
-6300000335,4/29/15,5,3,3230,5167,1.5,0,0,4,8,2000,1230,1909,0,98133,47.7053,-122.34,1509,1626,729953
-9301300751,7/28/14,3,1.5,1200,890,2,0,0,3,8,1030,170,2008,0,98109,47.6384,-122.342,1230,2120,464950
-9542100135,11/12/14,4,1.75,2350,18800,1,0,2,3,8,2350,0,1959,0,98005,47.5904,-122.177,3050,14640,620000
-8691410700,1/16/15,4,3.5,3100,5600,2,0,0,3,9,3100,0,2005,0,98075,47.5968,-121.978,3080,5600,735000
-217500135,4/21/15,4,2.25,2040,9565,1,0,0,3,8,1400,640,1959,0,98133,47.7356,-122.335,1890,8580,450000
-3731800055,6/5/14,4,1,2000,4676,1.5,0,0,3,7,1250,750,1916,1986,98118,47.5529,-122.268,1140,4676,450000
-7234600786,5/11/14,4,2.5,2160,5298,2.5,0,0,4,9,2160,0,1902,0,98122,47.6106,-122.31,1720,2283,842500
-2423059104,10/8/14,3,2,1970,79714,1,0,0,3,7,1070,900,1979,0,98058,47.4674,-122.107,1890,36626,360000
-1823039205,6/24/14,3,2.5,2270,100545,2,0,0,3,8,2270,0,1998,0,98070,47.4815,-122.47,1277,100545,585000
-2423020260,8/14/14,3,2.25,1850,7923,1,0,0,4,7,1150,700,1977,0,98033,47.7011,-122.171,1780,7420,461000
-2695600070,8/18/14,2,1,1350,4494,1,0,0,3,7,920,430,1949,0,98126,47.5315,-122.38,1470,5225,345000
-6844703240,7/2/14,3,2.5,3280,10302,1,0,0,3,10,1680,1600,1970,0,98115,47.6948,-122.286,1550,6300,1080000
-3904940070,2/27/15,4,2.5,2270,8391,2,0,0,3,8,2270,0,1988,0,98029,47.574,-122.013,2420,8391,643000
-1939130070,9/29/14,4,2.5,2820,8307,2,0,0,3,9,2820,0,1990,0,98074,47.6253,-122.027,2820,8307,690000
-5589300370,4/1/15,4,1,1200,11111,1.5,0,0,3,7,1200,0,1949,0,98155,47.7529,-122.306,1350,9113,282000
-3526039116,11/18/14,3,1.75,2000,6130,1,0,0,4,8,1120,880,1951,0,98117,47.6925,-122.388,2140,7150,549000
-6821600390,1/8/15,3,2,2310,6000,2,0,1,4,9,1560,750,1926,0,98199,47.648,-122.395,2000,6000,815000
-1925069082,5/11/15,5,4.25,4640,22703,2,1,4,5,8,2860,1780,1952,0,98052,47.6393,-122.097,3140,14200,2200000
-8100400160,4/13/15,3,2.25,2330,11424,2,0,0,4,8,2330,0,1984,0,98052,47.6386,-122.11,2050,11448,700000
-5556300102,7/14/14,3,2.5,3940,10360,2,0,0,3,9,3110,830,1992,0,98052,47.6468,-122.116,2720,11941,933399
-7222000393,7/3/14,3,1,1440,11250,1,0,0,3,7,1440,0,1967,0,98055,47.4627,-122.213,2200,11250,290000
-9407001860,5/24/14,4,1.75,1960,9300,1,0,0,5,7,1340,620,1979,0,98045,47.4487,-121.772,1500,9752,372000
-9468200140,8/19/14,2,1.75,1250,2890,1,0,0,4,7,790,460,1920,0,98103,47.6795,-122.353,1500,3225,450000
-3295950240,9/5/14,3,2.5,1981,5700,2,0,0,3,8,1981,0,2010,0,98030,47.3668,-122.178,1981,5894,303700
-3905000340,7/24/14,4,2.5,2440,10049,2,0,0,4,9,2440,0,1989,0,98029,47.5744,-121.993,2820,8484,672000
-3374300070,6/23/14,4,1.5,1150,9360,1.5,0,0,3,6,1150,0,1970,0,98034,47.7197,-122.173,1480,8155,334000
-7812800310,6/25/14,2,1,1120,5650,1,0,0,3,6,1120,0,1944,0,98178,47.4979,-122.241,1270,6875,260000
-7015200685,7/31/14,3,1.75,1800,5700,1,0,0,4,8,1000,800,1941,0,98119,47.6491,-122.367,1680,5350,749950
-3521069051,12/23/14,4,2.25,2380,122038,2,0,0,4,8,2380,0,1984,0,98022,47.2624,-122.015,2030,48000,330000
-8032700140,10/28/14,5,3,2920,2808,2,0,0,3,8,2140,780,1960,1992,98103,47.654,-122.342,1620,1544,830000
-6117500320,7/8/14,3,2.25,2790,13791,1,0,3,3,8,2790,0,2006,0,98166,47.4389,-122.351,2720,12600,1130000
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-3832310350,10/21/14,3,1.75,1100,7224,1,0,0,3,7,1100,0,1981,0,98032,47.3717,-122.277,1700,8447,229900
-324000350,4/15/15,4,3,1920,4000,1.5,0,0,4,8,1540,380,1931,0,98116,47.5718,-122.385,1660,4000,667500
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-6127011000,5/8/14,4,2.5,2550,4630,2,0,0,3,7,2550,0,2005,0,98075,47.5928,-122.004,2550,5151,537500
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-1320069271,6/12/14,3,2,2080,11375,1,0,0,3,8,2080,0,2002,0,98022,47.214,-121.993,1080,12899,342500
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-6619510060,3/27/15,4,3,2030,12675,2,0,0,3,7,2030,0,1982,0,98177,47.7689,-122.379,1990,7705,499000
-4058802105,9/4/14,3,1,1450,6776,1,0,0,3,7,1450,0,1952,0,98178,47.5056,-122.244,1680,7200,150000
-7212660640,3/26/15,4,2.5,2400,7270,2,0,0,3,8,2400,0,1993,0,98003,47.2697,-122.312,2150,6584,333000
-8026700105,2/18/15,4,2.75,2870,8625,1,0,1,4,8,1860,1010,1959,0,98155,47.7425,-122.289,2430,8479,700000
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-623049315,7/1/14,3,2.5,1680,11312,1,0,0,3,7,1080,600,1959,0,98146,47.5051,-122.344,1390,10700,330000
-6632900340,11/24/14,4,2,1850,8827,1,0,0,3,7,1850,0,1969,0,98155,47.7406,-122.313,1310,6901,360000
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-1117200550,10/14/14,3,2.75,3530,69834,2,0,0,3,10,3530,0,1994,0,98053,47.6377,-121.995,3560,74256,760000
-7461420060,8/4/14,3,1.75,2050,10519,1,0,0,3,7,1240,810,1979,0,98058,47.4257,-122.146,1770,9605,265000
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-5149300400,2/6/15,4,2.25,2270,12000,1,0,0,4,7,1290,980,1976,0,98023,47.3287,-122.353,2030,23980,311750
-3815500045,10/3/14,3,2.25,1880,12473,1,0,0,3,8,1420,460,1958,0,98028,47.7623,-122.256,2300,10469,399000
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-8563000520,10/29/14,4,2.25,1990,7610,1,0,0,4,8,1290,700,1966,0,98008,47.6236,-122.103,1820,8198,529219
-3663000070,7/8/14,3,2.25,1900,46609,1.5,0,0,4,7,1440,460,1969,0,98072,47.7529,-122.116,2460,43560,600000
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-3047700105,4/23/15,4,3.75,3450,4940,2,0,0,3,10,2570,880,2006,0,98103,47.692,-122.338,1880,5387,990000
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-6151800486,7/18/14,2,1,1270,19602,1,0,0,3,6,1270,0,1977,0,98010,47.3375,-122.048,1270,17699,260000
-8581200160,10/24/14,3,1.5,1180,7000,1,0,0,4,7,1180,0,1977,0,98023,47.2959,-122.373,1630,7500,193000
-2395710070,7/25/14,4,2.25,2230,6791,2,0,0,3,8,2230,0,2005,0,98038,47.3769,-122.028,2420,6297,340000
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-798000342,8/15/14,3,2.5,1830,12750,2,0,0,3,7,1830,0,1991,0,98168,47.5003,-122.328,1610,10000,300000
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-6728700075,5/20/14,4,1.75,1280,6060,1,0,0,3,7,860,420,1926,0,98117,47.6805,-122.364,1490,4680,575000
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-5137200140,3/25/15,4,2.75,2990,11210,1,0,1,4,8,1880,1110,1977,0,98023,47.3357,-122.336,2790,9858,350000
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-4024101052,12/17/14,3,1,1240,6090,1,0,0,4,7,1240,0,1950,0,98155,47.7542,-122.307,1550,9096,305500
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-6300000693,12/2/14,2,2.25,850,1656,2,0,0,3,8,850,0,2001,0,98133,47.7064,-122.344,850,1312,233000
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-2568200140,6/25/14,5,2.5,2980,5377,2,0,0,3,9,2980,0,2006,0,98052,47.7074,-122.101,3150,6593,739900
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-1471630160,4/23/15,3,2,1210,14499,1,0,0,3,7,1210,0,1984,0,98045,47.4705,-121.754,1570,15360,353000
-9430110030,1/14/15,4,2.5,1940,7607,2,0,0,3,8,1940,0,1995,0,98052,47.685,-122.158,2250,7600,500000
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-6654700240,4/8/15,4,2.5,1980,6566,2,0,0,3,8,1980,0,2004,0,98042,47.3809,-122.097,2590,6999,332000
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-7525100520,5/2/14,2,2,1350,2560,1,0,0,3,8,1350,0,1976,0,98052,47.6344,-122.107,1790,2560,335000
-6204200560,7/23/14,3,2,1540,8011,1,0,0,3,7,1540,0,1988,0,98011,47.7342,-122.202,1630,7141,425000
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-3905040070,5/4/15,3,2.5,1670,5146,2,0,0,3,8,1670,0,1991,0,98029,47.5707,-121.999,1940,5146,540000
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-4027701182,7/22/14,3,1,1320,11457,1,0,0,3,8,1320,0,1959,0,98028,47.7738,-122.261,1900,9800,339950
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-1000102,4/22/15,6,3,2400,9373,2,0,0,3,7,2400,0,1991,0,98002,47.3262,-122.214,2060,7316,300000
-8945300200,8/15/14,3,1,1170,8816,1,0,0,4,6,1170,0,1966,0,98023,47.3059,-122.368,1200,9108,207500
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-7856400240,2/11/15,4,3,3900,9750,1,0,4,5,10,2520,1380,1972,0,98006,47.5605,-122.158,3410,9450,1650000
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-292000070,4/6/15,5,2.5,2350,14197,1,0,0,4,8,1220,1130,1962,0,98004,47.6005,-122.204,2470,11629,895000
-9510900710,5/13/14,4,2.25,2510,8165,1,0,0,4,7,1610,900,1972,0,98023,47.3092,-122.372,1940,8250,267345
-1471620240,5/16/14,3,2.5,1480,15639,2,0,0,3,8,1480,0,1987,0,98045,47.4723,-121.746,1480,16454,275000
-1626079012,2/25/15,3,1.75,1720,223377,1,0,0,3,7,1240,480,1950,0,98019,47.7329,-121.92,2530,221442,439950
-3904901670,6/20/14,3,2.25,1470,4653,2,0,0,4,7,1470,0,1985,0,98029,47.5667,-122.018,1560,4119,455000
-8927600070,1/13/15,3,1.75,1540,6930,1,0,0,3,7,1250,290,1944,0,98115,47.6782,-122.278,1760,6930,630000
-3629970240,11/3/14,3,2.5,2820,5001,2,0,0,3,9,2820,0,2004,0,98029,47.5533,-121.992,2660,5001,690000
-1099610260,8/26/14,4,1.75,1250,12705,1,0,0,4,7,1250,0,1971,0,98023,47.302,-122.382,1390,8550,212000
-5420300270,8/13/14,4,2.25,2080,7526,1,0,0,4,7,1280,800,1985,0,98030,47.3762,-122.183,1200,7500,231500
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-9178600055,5/5/15,2,1,1140,3990,1,0,0,3,7,1140,0,1924,0,98103,47.6554,-122.333,1800,5700,695000
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-8582010240,5/6/14,4,2.5,2110,13850,2,0,0,3,9,2110,0,1987,0,98027,47.5497,-122.077,2520,10194,606000
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-3275890310,2/12/15,3,2,2110,9199,1,0,0,3,10,2110,0,1993,0,98074,47.6496,-122.083,3130,8841,677100
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-7885801460,1/6/15,4,2.5,2260,5702,2,0,0,3,8,2260,0,2002,0,98042,47.3488,-122.151,2450,6381,325000
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-7977201910,4/14/15,3,1,1330,5100,1,0,0,3,7,900,430,1942,0,98115,47.6837,-122.291,1500,5100,553000
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-3438500714,5/6/14,4,2.5,1890,6156,1,0,0,3,7,980,910,1980,0,98106,47.551,-122.356,1590,6954,325000
-726049184,7/21/14,2,1,820,6366,1,0,0,5,6,820,0,1952,0,98133,47.7512,-122.34,1580,10169,294000
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-9558020600,4/7/15,4,2.5,2460,5440,2,0,0,3,9,2460,0,2003,0,98058,47.448,-122.121,2460,5124,425000
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-3544400236,7/7/14,2,1,1290,4650,1,0,0,4,7,1290,0,1906,0,98115,47.6877,-122.325,1640,3900,494000
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-3121500100,9/3/14,4,2.5,2970,29163,2,0,0,3,9,2970,0,1993,0,98053,47.6717,-122.025,3100,31105,715000
-726049202,5/6/15,3,1,1020,10200,1,0,0,4,7,1020,0,1954,0,98133,47.7503,-122.348,1170,8188,335000
-3629760110,8/21/14,3,2.5,2490,4904,2,0,0,3,9,2490,0,2003,0,98029,47.5451,-122.014,2370,4050,634000
-8692800025,5/14/14,5,2,1700,7314,1,0,0,3,7,1000,700,1956,0,98108,47.549,-122.305,2000,7176,337500
-4392200165,9/4/14,1,1,850,6567,1,0,0,4,6,850,0,1940,0,98010,47.327,-122.039,2160,9794,440000
-1023089228,7/17/14,3,1.75,1250,13775,1,0,2,3,7,1250,0,1990,0,98045,47.4981,-121.772,1260,13707,350000
-7625702615,1/14/15,2,1,610,4560,1,0,0,3,5,610,0,1918,0,98136,47.5498,-122.383,930,1392,400000
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-2201500490,4/6/15,3,1,950,10080,1,0,0,4,7,950,0,1954,0,98006,47.572,-122.139,1060,10000,435000
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-4038100110,7/7/14,3,2.25,1680,9090,1,0,0,4,7,1130,550,1959,0,98008,47.6068,-122.13,1960,9090,480000
-7697870600,9/9/14,3,2.5,1520,7200,2,0,0,4,7,1520,0,1985,0,98030,47.3679,-122.182,1780,7210,158000
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-7853240100,9/2/14,5,2.75,3890,9130,2,0,0,3,9,3890,0,2004,0,98065,47.5407,-121.86,3450,8361,772500
-326049058,2/17/15,5,1.5,2940,13425,1,0,0,3,8,1470,1470,1955,0,98155,47.7632,-122.29,1580,8200,464500
-8732800090,4/24/15,3,1.75,1350,8737,1,0,0,3,7,1350,0,1966,0,98188,47.4378,-122.279,1600,8928,281000
-2526059086,7/22/14,3,2.25,2190,45738,1,0,0,3,8,2190,0,1990,0,98052,47.7108,-122.12,2970,4496,620000
-2391600165,6/17/14,3,2.25,2280,5750,1,0,1,4,7,1150,1130,1985,0,98116,47.5641,-122.393,1500,5060,475000
-7225000090,10/17/14,2,2,1070,4500,1,0,0,4,6,910,160,1932,0,98055,47.4896,-122.204,1280,4500,245000
-1868901295,7/29/14,5,2.25,2540,3750,1.5,0,0,4,7,1510,1030,1925,0,98115,47.6729,-122.299,1780,3750,660000
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-2522069064,10/27/14,2,1,1220,7250,1,0,0,4,6,1220,0,1914,0,98010,47.3585,-121.975,1350,20250,135000
-806800090,5/6/15,3,1.75,1890,5000,1,0,0,3,7,1890,0,2003,0,98092,47.3357,-122.175,2960,5421,275000
-7228500375,2/10/15,4,2,1990,4740,1,0,0,3,7,1080,910,1926,0,98122,47.6112,-122.303,1560,2370,430000
-2891100820,8/25/14,3,1,1220,6000,1,0,0,4,7,1220,0,1968,0,98002,47.3245,-122.209,1420,6000,213500
-8564850300,9/12/14,3,3,2640,5978,2,0,0,3,9,2640,0,2012,0,98045,47.4759,-121.735,2680,6060,535000
-3861400061,2/13/15,3,1.75,1480,9603,1,0,0,3,7,1480,0,1952,0,98004,47.5915,-122.202,2660,10766,641000
-3343903647,10/28/14,3,2,2320,9420,1,0,0,5,7,2320,0,1952,0,98056,47.5133,-122.196,2030,9420,436300
-809002680,10/14/14,4,1.75,2410,6000,1.5,0,0,3,8,2410,0,1911,0,98109,47.6369,-122.355,1280,4000,1440000
-5450300195,3/27/15,4,2.75,2090,13500,1,0,0,4,8,2090,0,1949,0,98040,47.573,-122.225,2130,13500,830000
-1231001110,7/22/14,3,1,920,3532,1,0,0,3,6,920,0,1910,0,98118,47.5539,-122.268,1250,4000,380000
-6303401050,2/20/15,3,0.75,850,8573,1,0,0,3,6,600,250,1945,0,98146,47.503,-122.356,850,8382,132500
-1003400245,12/1/14,3,1,1130,9907,1,0,0,3,7,1130,0,1954,0,98188,47.4362,-122.286,1320,9907,179950
-7468900245,4/20/15,3,1,1260,7265,1,0,0,4,7,1260,0,1954,0,98002,47.2979,-122.224,940,7200,188200
-5021900265,7/2/14,4,2,2090,10800,1,0,0,4,7,2090,0,1951,0,98040,47.5759,-122.223,2090,10800,659000
-8100900015,10/22/14,3,2,2020,7260,1.5,0,0,3,7,1180,840,1926,0,98108,47.5496,-122.311,1400,5950,317000
-573000490,11/24/14,3,2.25,1970,4564,1,0,0,3,8,1470,500,1959,0,98199,47.6703,-122.41,1980,5000,625000
-4022900837,6/13/14,3,1.75,1820,9545,1,0,0,3,7,1230,590,1976,0,98155,47.7772,-122.296,1790,9530,350000
-475001295,6/25/14,3,1.5,1840,5000,1.5,0,0,5,7,1340,500,1915,0,98107,47.6652,-122.362,1840,5000,750000
-5256500025,8/27/14,4,1.75,2100,10358,1,0,0,5,8,1280,820,1959,0,98133,47.7478,-122.338,2080,9000,457000
-2767601390,3/4/15,4,2,1770,5000,2,0,0,4,7,1770,0,1906,0,98107,47.6748,-122.386,1550,5000,632500
-6700400110,7/2/14,3,2,1110,7231,1,0,0,4,7,1110,0,1991,0,98031,47.4036,-122.191,1550,7245,223000
-8860300300,9/2/14,4,2.75,2090,8400,1,0,0,4,8,1240,850,1976,0,98052,47.6872,-122.123,2340,9000,610000
-3738900165,10/24/14,4,1.75,2080,8215,2,0,0,4,7,2080,0,1948,0,98155,47.737,-122.305,1550,8215,385000
-1314300018,3/24/15,3,3.25,1400,1343,2,0,0,3,7,1160,240,2005,0,98118,47.5483,-122.277,1400,1326,367500
-3992700265,8/4/14,3,1,1060,8040,1,0,0,4,6,1060,0,1949,0,98125,47.7121,-122.287,1300,7620,385100
-1105000296,12/29/14,2,1,720,5913,1,0,0,3,6,720,0,1920,0,98118,47.5447,-122.27,1560,6600,230000
-1773100121,6/23/14,3,2.75,1100,750,2,0,0,3,7,780,320,2008,0,98106,47.5601,-122.363,1170,4800,286000
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-822069112,4/23/15,4,4.75,5230,89298,2.5,0,0,3,11,5230,0,2002,0,98038,47.4097,-122.063,4110,107153,1350000
-5423030300,5/19/14,4,1.75,2420,7672,1,0,0,3,8,1480,940,1979,0,98027,47.5637,-122.085,2370,7699,525000
-1387301730,2/2/15,3,1.5,1200,7236,1,0,0,3,7,1200,0,1975,0,98011,47.739,-122.194,1680,7800,361000
-4447300008,9/23/14,3,1.5,1950,1963,3,0,0,3,8,1950,0,2002,0,98117,47.6904,-122.397,1590,2028,530000
-6413600123,10/8/14,3,2.25,1870,7403,1,0,0,3,7,1870,0,1950,0,98125,47.7171,-122.32,1630,7440,455000
-3288100100,11/20/14,4,2.25,1310,8400,1,0,0,4,7,1310,0,1966,0,98034,47.7317,-122.181,1600,8400,421000
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-3423049165,3/31/15,3,1,1270,12733,1,0,0,3,7,1270,0,1955,0,98188,47.445,-122.276,1660,11536,240000
-1233100601,10/24/14,2,1,840,7414,1,0,0,4,6,840,0,1928,0,98033,47.6771,-122.172,1740,9784,360000
-3422059085,3/24/15,2,1,900,23000,1,0,0,2,7,900,0,1953,0,98042,47.3576,-122.156,1460,8265,157340
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-7282900025,5/6/14,3,1,1050,6874,1,0,0,3,6,1050,0,1954,0,98133,47.762,-122.355,1500,8954,250000
-2526059076,2/25/15,6,2.75,3360,84506,1,0,0,5,7,2040,1320,1962,0,98052,47.715,-122.121,2190,43124,735000
-5451100490,1/15/15,7,4.75,5370,10800,1.5,0,0,3,8,5370,0,1967,0,98040,47.538,-122.223,2310,10910,884900
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-9828702251,6/23/14,3,2.5,1640,1269,3,0,0,3,8,1640,0,2009,0,98112,47.6197,-122.3,1590,1231,579000
-9558040820,7/9/14,6,3.75,4000,6015,2,0,2,3,10,3080,920,2004,0,98058,47.453,-122.118,3180,5700,570000
-1437580600,3/31/15,5,4.5,4140,7924,2,0,0,3,10,4140,0,2005,0,98074,47.6102,-121.993,3960,8410,1060000
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-2919701105,12/9/14,2,1.75,1320,2609,1,0,0,4,7,920,400,1938,0,98117,47.6878,-122.366,1200,4220,422000
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-3066400750,4/13/15,3,2.5,2500,10359,2,0,0,3,10,2500,0,1986,0,98074,47.6286,-122.051,2580,10142,705000
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-793200100,12/18/14,3,1.25,2350,6200,1,0,0,4,7,1320,1030,1966,0,98007,47.5979,-122.135,2140,9543,360000
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-1828300100,3/30/15,4,2.5,3100,7807,2,0,0,3,9,3100,0,2003,0,98034,47.7151,-122.227,3100,7807,800000
-1118000110,5/29/14,4,3.5,4730,13586,1.5,0,0,5,10,4270,460,1935,0,98112,47.6319,-122.288,3710,8828,2450000
-9297301015,4/8/15,3,1.75,1030,4800,1,0,0,3,6,930,100,1927,0,98126,47.566,-122.373,1540,4800,277284
-585000008,4/13/15,2,1,1020,4002,1,0,0,5,7,1020,0,1953,0,98116,47.5828,-122.395,1780,5000,460000
-4070700300,5/4/15,3,2.5,2080,3729,2,0,0,3,9,2080,0,1996,0,98033,47.6731,-122.199,2080,4000,898888
-3026079031,8/6/14,3,1,1410,47916,1,0,0,3,7,1410,0,1981,0,98019,47.7149,-121.96,1810,215622,211000
-2781250750,8/28/14,2,2,1360,3300,2,0,0,3,6,1360,0,2004,0,98038,47.3489,-122.022,1310,3300,222000
-203100625,5/29/14,3,2.5,2620,21587,2,0,0,3,7,2620,0,1992,0,98053,47.6384,-121.959,2570,23650,672000
-687600110,10/20/14,3,2.25,2260,33080,1,0,0,5,9,1690,570,1974,0,98005,47.6386,-122.183,3020,35291,778000
-2473372250,1/21/15,3,1.75,1490,9493,1,0,0,4,8,1490,0,1976,0,98058,47.4514,-122.134,2440,9600,312500
-7974700112,7/14/14,4,2.5,2530,6500,1.5,0,0,3,8,1720,810,1975,0,98115,47.6737,-122.284,2150,5280,650000
-2330000015,8/26/14,6,2.25,3140,10250,1,0,0,4,8,1570,1570,1959,0,98005,47.6116,-122.169,2320,10250,740000
-7230300100,8/26/14,3,2,1820,17600,1,0,0,5,7,1820,0,1972,0,98059,47.4703,-122.112,2190,17440,320000
-2133010110,5/8/15,4,2.5,1770,13168,2,0,0,3,7,1770,0,1990,0,98019,47.7306,-121.966,2050,14859,455000
-4389201250,5/13/14,5,4,4430,9000,2,0,0,3,10,4430,0,2013,0,98004,47.6168,-122.216,2470,9490,2450000
-3383900057,12/3/14,3,3.25,1490,902,3,0,0,3,8,1220,270,2001,0,98102,47.6357,-122.324,1550,1092,500000
-2424410110,6/11/14,3,1.75,1790,27427,1,0,0,3,7,1130,660,1978,0,98065,47.532,-121.761,1610,16684,325000
-3126049436,9/12/14,3,2.5,1710,1296,3,0,0,3,8,1510,200,2004,0,98103,47.6963,-122.342,1610,1282,416000
-9238500100,3/18/15,4,2.25,2070,20280,2,0,0,4,7,2070,0,1968,0,98072,47.774,-122.134,2190,21560,495000
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-5101406489,5/1/15,3,2,1400,6380,1,0,0,4,7,700,700,1924,0,98125,47.7015,-122.316,1690,5800,432000
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-5416100110,11/18/14,4,2.5,2840,8746,2,0,0,3,8,2840,0,2001,0,98022,47.19,-122.013,2630,9900,339000
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-2461900375,4/14/15,4,2.5,2770,6000,2,0,0,3,8,2400,370,1993,0,98136,47.5536,-122.383,2120,6000,685000
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-2695600195,11/24/14,2,1,960,5096,1,0,0,5,7,960,0,1949,0,98126,47.5314,-122.378,1760,4488,379500
-426059055,10/3/14,3,1.75,2410,35236,1,0,0,3,8,2410,0,1980,2001,98072,47.7651,-122.166,2110,16980,620000
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-2397101270,1/26/15,3,2,1420,3600,1.5,0,0,4,7,1420,0,1904,0,98119,47.6367,-122.364,1250,3600,716000
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-7202331500,8/29/14,5,3,4180,8561,2,0,0,3,7,4180,0,2003,0,98053,47.6833,-122.04,3425,6591,673200
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-1604600660,5/12/14,2,1,910,4500,1.5,0,0,4,7,910,0,1906,0,98118,47.5633,-122.289,1270,3500,350000
-522069022,7/14/14,5,2.5,2950,72309,2,0,0,3,8,2950,0,2006,0,98058,47.4186,-122.079,1480,56192,599000
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-9407150130,12/1/14,4,2.5,1980,7264,2,0,0,3,7,1980,0,1996,0,98038,47.3678,-122.019,1600,6380,240000
-2212900470,2/11/15,3,1,1200,10080,1,0,0,4,7,1200,0,1969,0,98042,47.3261,-122.135,1230,9800,186000
-6600220080,2/4/15,3,1.5,1280,15028,1,0,0,3,7,1280,0,1982,0,98074,47.6304,-122.035,1470,13698,395000
-9558050020,9/15/14,4,2.5,3150,5757,2,0,0,3,9,3150,0,2004,0,98058,47.4568,-122.117,3100,5757,475000
-8691300420,8/4/14,5,3.5,3500,10794,2,0,0,3,10,3500,0,1996,0,98075,47.5887,-121.974,3110,10837,815000
-5450300010,9/2/14,3,1.5,1680,13751,1,0,0,4,7,1680,0,1951,0,98040,47.5716,-122.227,1760,13500,572000
-339600460,10/17/14,3,2.5,1360,3188,2,0,0,3,7,1360,0,1986,0,98052,47.6831,-122.096,1090,3188,419500
-9264910920,9/3/14,3,2.25,2110,7350,1,0,0,3,8,1530,580,1980,0,98023,47.3088,-122.341,2640,7777,298700
-121029034,6/24/14,2,1,2034,13392,1,1,4,5,7,1159,875,1947,0,98070,47.3312,-122.503,1156,15961,549000
-2123049420,4/22/15,3,1.5,1900,9994,1,0,0,3,7,1120,780,1960,0,98168,47.4729,-122.301,1900,9994,278000
-7950302890,12/30/14,4,2,2380,4500,1.5,0,0,3,6,1470,910,1926,2014,98118,47.5652,-122.281,1300,4500,455000
-6117500430,8/19/14,5,3.5,4050,13495,1,0,2,4,9,2230,1820,1988,0,98166,47.4384,-122.352,3210,13495,925000
-1972200660,4/15/15,2,1.5,1120,1201,3,0,0,3,8,1120,0,1999,0,98103,47.6524,-122.353,1370,1298,465000
-3629830050,10/1/14,4,4,2850,2970,2,0,0,3,8,2120,730,1999,0,98029,47.547,-122.01,2380,3559,620000
-9257900010,4/22/15,4,2.25,2360,7650,1,0,0,3,8,1640,720,1963,0,98155,47.75,-122.292,2320,11060,499900
-6072000440,2/6/15,5,3,2540,11422,1,0,0,3,8,1270,1270,1962,2014,98006,47.5459,-122.176,2090,10741,620000
-6844702630,11/8/14,3,1.75,1160,6120,1,0,0,3,7,1040,120,1941,0,98115,47.6926,-122.287,1530,6120,450000
-3630090050,2/20/15,4,3.5,2710,2147,2,0,0,3,10,2220,490,2007,0,98029,47.5468,-121.994,2650,2252,690000
-9809000020,5/13/14,5,2.25,3120,16672,2,0,0,4,9,3120,0,1969,0,98004,47.6458,-122.219,3740,17853,1900000
-9809000020,3/13/15,5,2.25,3120,16672,2,0,0,4,9,3120,0,1969,0,98004,47.6458,-122.219,3740,17853,1940000
-5021900050,8/18/14,3,2,1870,9527,1,0,0,4,7,1870,0,1951,1997,98040,47.5777,-122.224,1970,11904,832500
-1003600080,11/7/14,3,1,1010,9678,1,0,0,5,7,1010,0,1955,0,98188,47.4396,-122.285,1010,9375,245000
-7701960130,10/17/14,3,2.5,2980,18935,1.5,0,0,3,11,2980,0,1990,0,98077,47.7133,-122.079,3670,18225,820000
-2395710020,8/7/14,4,2.75,2420,6495,2,0,0,3,8,2420,0,2005,0,98038,47.3771,-122.029,2420,6200,369000
-7203230010,10/15/14,4,3.25,3830,8331,2,0,0,3,9,3830,0,2014,0,98053,47.6906,-122.019,4080,8425,1050000
-9830200380,9/17/14,3,3,3040,5067,3,0,2,3,10,3040,0,1993,0,98118,47.5409,-122.267,1820,5998,653000
-9407111100,4/22/15,2,1.75,1460,10500,1,0,0,3,7,1460,0,1980,0,98045,47.4461,-121.768,1340,9600,220650
-9572000080,6/16/14,5,3,1940,6355,1,0,0,3,8,1200,740,2007,0,98168,47.498,-122.322,1940,5033,300000
-3629870420,9/12/14,4,3.5,3780,20023,2,0,2,3,10,3780,0,2001,0,98029,47.5491,-122.006,2150,3675,970000
-2459970020,11/24/14,4,2.5,1950,5451,2,0,0,3,7,1950,0,2004,0,98058,47.4341,-122.144,2240,6221,360000
-5547700190,3/30/15,3,2.5,2450,5760,2,0,0,3,9,2450,0,2000,0,98074,47.6145,-122.026,2450,5762,672500
-421000285,4/23/15,4,1.5,1730,7020,1.5,0,0,4,5,1730,0,1953,0,98056,47.4939,-122.167,1110,7020,268000
-3277801640,12/2/14,4,1.5,1690,3245,1.5,0,0,3,8,1690,0,1929,0,98126,47.5445,-122.375,1380,1590,440000
-1250203070,5/14/14,3,2.5,2550,7200,2,0,2,3,10,2550,0,1981,2013,98144,47.5996,-122.288,2030,3500,1400000
-8077200470,7/18/14,4,2.5,2290,11072,2,0,0,3,9,2290,0,1986,0,98074,47.6283,-122.03,2340,9774,590000
-302000545,1/27/15,4,2.25,2710,22860,1,0,0,4,7,1850,860,1962,0,98001,47.3207,-122.266,1700,22860,359000
-9542801990,5/29/14,4,1.75,1880,7632,1,0,0,4,7,1180,700,1978,0,98023,47.3068,-122.372,1840,8528,266500
-3343901403,12/16/14,4,2.5,2930,8679,2,0,0,3,8,2930,0,2014,0,98056,47.5164,-122.19,2030,7264,635000
-1121059030,10/13/14,3,2.5,3110,217800,2,0,0,3,9,3110,0,2001,0,98092,47.3281,-122.124,2220,217800,559000
-9290850950,12/18/14,4,2.5,3480,38985,2,0,0,3,10,3480,0,1989,0,98053,47.6895,-122.052,3630,36290,895000
-1136100006,1/27/15,2,1.5,1110,118047,1,0,0,3,7,1110,0,1961,0,98072,47.7467,-122.128,2970,43500,625000
-7923300285,3/12/15,4,2.25,2440,9320,1,0,0,4,7,1880,560,1957,0,98007,47.5933,-122.135,1530,9335,650000
-1823059028,2/24/15,4,1.75,2280,7840,1,0,0,3,7,1280,1000,1957,0,98055,47.4809,-122.224,2120,7260,312500
-8864000440,9/25/14,3,1,900,6099,1,0,0,3,6,790,110,1944,0,98168,47.4807,-122.289,1240,6099,225000
-9512500680,11/19/14,4,1.75,1980,8400,1,0,0,3,7,1330,650,1968,0,98052,47.6721,-122.152,1920,8400,425000
-3421069120,2/19/15,3,2.75,3360,41250,1,0,0,4,7,1820,1540,1988,0,98022,47.2604,-122.023,2580,98881,329999
-4376700430,7/16/14,5,2.25,2340,9225,2,0,0,3,8,2340,0,1973,0,98052,47.6369,-122.098,2140,9348,572000
-8562890430,4/7/15,4,2.5,3110,5048,2,0,0,3,8,3110,0,2002,0,98042,47.3782,-122.125,3110,5190,386500
-452002005,1/21/15,2,1,980,5000,1,0,0,3,6,980,0,1904,0,98107,47.6744,-122.369,1270,4500,452000
-7228500094,12/12/14,4,2,1480,6324,1,0,0,3,7,1480,0,1943,0,98122,47.6147,-122.302,1480,3600,278000
-8078700020,6/3/14,3,2.25,1800,43647,1,0,0,4,8,1800,0,1976,0,98072,47.7757,-122.132,2480,25608,474900
-5035300255,4/14/15,2,1.75,2130,6574,1,0,0,3,8,1500,630,1946,0,98199,47.6529,-122.411,2130,6275,450000
-9528104985,11/4/14,2,1,1270,5100,1,0,0,3,7,1100,170,1900,0,98115,47.6771,-122.328,1670,3900,611000
-7237590010,6/5/14,2,2.5,1150,2064,2,0,0,3,7,1150,0,2004,0,98001,47.3516,-122.292,1880,2855,214100
-3158500250,5/14/14,3,2.5,1840,5011,2,0,0,3,8,1840,0,2012,0,98038,47.3555,-122.054,2000,4793,317000
-868001402,3/5/15,4,3.5,3180,12528,2,0,1,4,9,2060,1120,1979,0,98177,47.7058,-122.379,2850,11410,1000000
-5606000233,4/24/15,5,2.75,1510,5700,2,0,1,4,7,1510,0,1946,0,98105,47.6653,-122.27,2190,5700,1000000
-5214500660,5/5/15,4,2.5,3070,7200,2,0,0,3,8,3070,0,2005,0,98059,47.4899,-122.138,2590,7200,525000
-3578110020,10/1/14,3,2.25,1800,6680,2,0,0,3,8,1800,0,1983,0,98034,47.7293,-122.223,1630,8621,436000
-3578401330,7/18/14,3,1.75,1540,9154,1,0,0,3,8,1540,0,1983,0,98074,47.6207,-122.042,1990,10273,450000
-7525000080,5/2/14,3,1.75,2330,14892,1,0,0,3,8,1970,360,1980,0,98074,47.6267,-122.046,2570,14217,588500
-4273000095,5/11/15,4,1.75,1400,8374,1,0,0,3,7,1400,0,1953,0,98166,47.4735,-122.344,1420,8360,340000
-4014400190,7/14/14,4,2.5,2846,85377,1.5,0,0,3,8,1976,870,2000,0,98001,47.317,-122.281,1696,57934,482000
-8678500020,12/13/14,4,3.5,5830,131116,2,0,0,3,11,5830,0,2005,0,98024,47.5986,-121.949,5340,207206,1580000
-6918700130,8/11/14,3,2.5,3380,7126,2,0,0,3,8,3380,0,1965,2003,98008,47.6276,-122.122,1810,7308,749000
-2473350470,5/11/15,3,1.5,1440,7875,1,0,0,4,8,1440,0,1968,0,98058,47.4561,-122.148,1800,8964,330000
-9274200314,8/21/14,3,2.5,1740,1279,3,0,0,3,8,1740,0,2008,0,98116,47.5891,-122.387,1740,1280,568000
-2938100010,9/24/14,3,1.75,1470,8925,1,0,0,4,7,1470,0,1957,0,98022,47.2026,-122,1430,9282,239000
-8564950250,1/7/15,3,2.5,2810,4932,2,0,0,3,8,2810,0,2003,0,98011,47.7739,-122.227,2470,4919,528000
-3438502715,7/30/14,4,3,2090,5102,1,0,0,3,7,1350,740,1994,0,98106,47.5427,-122.356,2090,5102,385000
-280610020,9/2/14,4,3.25,4110,14219,2,0,2,4,10,2570,1540,1979,0,98028,47.7382,-122.264,2760,12283,825000
-2487200938,11/26/14,5,3.25,3230,5000,2,0,1,3,9,2350,880,2002,0,98136,47.5202,-122.393,1520,5000,815000
-1775500362,10/13/14,4,2.5,2601,34335,2,0,0,3,9,2601,0,1995,0,98072,47.742,-122.087,2080,32336,625000
-2483200010,10/7/14,3,1.75,2070,6000,1,0,3,3,8,1340,730,1955,0,98136,47.5226,-122.382,2200,6000,690000
-4365700130,3/25/15,3,1,1660,7440,1,0,0,3,7,1270,390,1957,0,98106,47.5242,-122.362,1540,7440,210000
-9136101271,4/16/15,4,1,1590,4280,1.5,0,0,3,7,1590,0,1924,0,98103,47.667,-122.335,2230,4280,599000
-1370804295,2/12/15,3,1.75,1860,5584,1,0,0,3,8,1310,550,1951,0,98199,47.637,-122.4,1630,6022,860000
-422049178,2/12/15,3,1,1420,9600,1,0,0,4,6,1420,0,1954,0,98188,47.4232,-122.292,1400,8415,147200
-9161100795,5/6/15,3,1,1240,5758,1.5,0,0,4,6,960,280,1910,0,98116,47.5675,-122.396,1460,5750,476900
-5561300380,8/7/14,4,2.5,2500,36254,1,0,0,4,8,1590,910,1978,0,98027,47.4685,-122.004,2360,36254,450000
-1443550020,5/6/15,4,2.5,2640,11816,2,0,0,3,8,2640,0,1999,0,98019,47.733,-121.968,2400,11816,570000
-9547201155,10/16/14,3,1,1440,3060,1.5,0,0,4,7,1440,0,1910,0,98115,47.6769,-122.307,1440,3570,567500
-3625059120,10/23/14,5,3.25,3030,20446,2,0,2,3,9,2130,900,1976,0,98008,47.6133,-122.106,2890,20908,790000
-644000185,7/7/14,3,1.5,1820,12686,1,0,0,4,7,1820,0,1952,0,98004,47.5886,-122.195,3020,11550,875000
-5710500010,6/10/14,3,2,2220,10275,2,0,0,3,9,1640,580,1980,0,98027,47.5304,-122.055,2300,9975,490000
-2482410130,6/10/14,3,1.75,2430,9133,1,0,0,4,7,1410,1020,1978,0,98059,47.5116,-122.157,1980,9592,335000
-6071900130,4/15/15,3,1.75,1670,10798,1,0,0,4,8,1670,0,1962,0,98006,47.549,-122.17,2290,10798,550000
-6817800630,5/16/14,3,1.75,1180,10541,1,0,0,4,7,940,240,1981,0,98074,47.6348,-122.032,1230,10879,385000
-6204400130,7/18/14,3,1.75,1620,8085,1,0,0,3,7,1210,410,1976,0,98011,47.7349,-122.197,1700,8085,395000
-9274203190,6/11/14,2,1,1030,5750,1,0,0,5,8,1030,0,1928,0,98116,47.5861,-122.391,1570,5750,650000
-293610020,3/4/15,4,2.75,2900,5803,2,0,0,3,9,2900,0,2007,0,98028,47.7368,-122.232,2900,6212,637000
-3583400130,10/14/14,3,2.25,3420,9900,1,0,0,3,9,1710,1710,1963,2004,98028,47.7412,-122.256,2290,10700,692500
-7230400430,9/30/14,3,1.75,1710,15844,1,0,0,4,8,1710,0,1964,0,98059,47.4706,-122.1,1990,20359,322400
-7140600190,9/5/14,3,1.5,1580,10517,1,0,0,4,6,1580,0,1957,0,98002,47.2903,-122.214,1400,10658,233500
-6817801410,6/24/14,3,2,1230,11413,1,0,0,3,7,990,240,1984,0,98074,47.6321,-122.034,1570,11517,400000
-6430500010,6/20/14,5,2.5,2200,4080,1.5,0,0,5,7,1420,780,1916,0,98103,47.6872,-122.35,1300,4080,547000
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-2787320430,6/18/14,4,1.75,1820,8118,1,0,0,4,7,1080,740,1980,0,98031,47.4104,-122.172,1810,8050,264000
-1672000170,9/8/14,3,1.75,1890,11141,1,0,0,4,8,1890,0,1968,0,98006,47.5697,-122.163,2720,11144,575000
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-3221079069,8/15/14,3,2.5,2770,98881,2,0,0,3,9,2770,0,1991,0,98022,47.2568,-121.952,1830,74923,475000
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-2475200080,9/8/14,3,1.75,1250,5546,1,0,0,4,7,1250,0,1987,0,98055,47.4725,-122.187,1640,4791,268000
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-2726049071,12/11/14,2,1,820,4206,1,0,0,3,5,820,0,1949,0,98125,47.7076,-122.284,1810,7200,510000
-2726049071,4/8/15,2,1,820,4206,1,0,0,3,5,820,0,1949,0,98125,47.7076,-122.284,1810,7200,489950
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-2867100005,4/7/15,2,1,1700,3040,1.5,0,0,3,8,1460,240,1914,0,98119,47.6442,-122.369,1620,3230,710000
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-9834200950,6/16/14,4,1.75,1690,4080,1,0,0,4,7,870,820,1984,0,98144,47.572,-122.289,1320,4080,385000
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-3541600235,10/28/14,3,1.75,1900,10225,1,0,0,4,8,1220,680,1963,0,98166,47.4781,-122.357,1850,12630,350000
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-3424069145,9/25/14,3,1,1400,5662,1.5,0,0,5,5,1400,0,1920,0,98027,47.5271,-122.036,1250,14375,343000
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-4365200895,4/17/15,4,1,1210,7740,1.5,0,0,3,7,1210,0,1922,0,98126,47.5216,-122.374,1100,7740,364000
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-339600010,10/17/14,3,1,1000,4171,1,0,0,3,7,1000,0,1985,0,98052,47.6834,-122.097,1090,3479,352500
-3391900130,9/3/14,4,2,2300,8400,1,0,0,4,6,1150,1150,1962,0,98003,47.3282,-122.332,1230,8400,258750
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-5101405276,6/9/14,2,1,730,7528,1,0,0,3,7,730,0,1946,0,98115,47.6997,-122.305,1620,7528,378500
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-3886000010,8/21/14,2,2.5,1470,2533,2,0,0,3,8,1470,0,2005,0,98033,47.6874,-122.165,1470,6511,487000
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-686900010,5/28/14,5,1.5,2680,28014,1,0,0,4,8,1450,1230,1963,0,98004,47.6348,-122.196,2900,22180,898000
-1310000130,9/24/14,4,2,2020,7767,1,0,0,3,8,2020,0,1995,0,98003,47.3391,-122.309,1940,8239,315000
-139000185,4/28/15,3,2.5,2100,4440,2,0,4,3,7,2100,0,1945,0,98116,47.5865,-122.397,2100,6000,800000
-4039000050,7/14/14,3,1.75,1510,8250,1,0,0,4,8,1510,0,1962,0,98008,47.6183,-122.113,1770,8250,516130
-9253900417,1/28/15,3,2.5,2850,19593,1.5,1,4,3,10,1790,1060,1978,0,98008,47.5894,-122.111,2850,18782,1600000
-4128500380,4/27/15,4,2.5,4280,12796,2,0,0,3,11,3400,880,1999,0,98006,47.5588,-122.124,3520,9593,1200000
-8159300050,3/12/15,4,2.5,3238,9112,1,0,2,4,8,1678,1560,1979,0,98198,47.4005,-122.311,3056,9668,355425
-1338600185,6/24/14,3,2.5,2740,5925,2,0,2,3,10,2740,0,1913,1992,98112,47.6313,-122.303,2740,5948,1160000
-7625703900,9/26/14,4,2.5,2020,9600,2,0,0,4,7,2020,0,1954,0,98136,47.5434,-122.395,2250,8550,689000
-2767700022,1/13/15,3,3.25,1520,1500,3,0,0,3,7,1520,0,2000,0,98107,47.67,-122.389,1520,1323,500000
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-7933250050,10/28/14,5,3.25,4020,4500,2,0,0,3,9,3120,900,2010,0,98004,47.6349,-122.204,3550,5775,1420000
-2600140500,12/16/14,4,2.25,2910,10189,2,0,0,3,9,2910,0,1988,0,98006,47.5465,-122.155,2780,10125,998000
-3876810170,5/5/15,3,1,900,9600,1,0,0,4,7,900,0,1970,0,98072,47.7423,-122.173,1220,8240,329000
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-6895300050,10/2/14,5,2.25,3030,9430,2,0,0,4,8,2600,430,1961,0,98133,47.7515,-122.353,2230,8425,529900
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-2115720500,10/23/14,3,2.5,1680,5000,2,0,0,3,8,1680,0,1987,0,98023,47.3196,-122.395,1720,5000,286000
-2202500255,3/5/15,3,2,1210,9926,1,0,0,4,7,1210,0,1954,2015,98006,47.5731,-122.135,1690,9737,335000
-2207100255,5/15/14,3,1.5,1120,7000,1,0,0,3,7,1120,0,1955,0,98007,47.5987,-122.146,1470,7950,395300
-8035350010,7/15/14,4,2.75,3180,13348,2,0,0,3,8,3020,160,2004,0,98019,47.7439,-121.977,3020,10029,510000
-1555300010,2/6/15,3,1,920,7500,1,0,0,4,7,920,0,1970,0,98032,47.3791,-122.289,1660,8000,203000
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-4083306345,5/4/15,4,1.5,2100,4560,1.5,0,0,4,8,2100,0,1912,0,98103,47.6497,-122.336,1930,4560,1000000
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-2113701100,8/26/14,3,1.75,1550,4057,1,0,0,3,6,830,720,1945,0,98106,47.5291,-122.351,1100,4116,294010
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-3578401060,5/4/15,3,2.25,1920,9672,2,0,0,4,8,1920,0,1984,0,98074,47.6233,-122.046,1950,10125,625000
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-8682230950,3/17/15,2,2,1660,4500,1,0,0,3,8,1660,0,2003,0,98053,47.7094,-122.031,1670,5580,559000
-7202360010,7/7/14,4,3.25,3990,9786,2,0,0,3,9,3990,0,2004,0,98053,47.6784,-122.026,3920,8200,866000
-2125049120,5/5/14,3,2,2350,5700,1.5,0,0,4,8,1810,540,1939,0,98112,47.639,-122.31,2170,6000,770000
-5540000010,8/15/14,3,1.5,1350,7827,1,0,0,4,7,1350,0,1968,0,98030,47.3786,-122.219,1900,7827,259950
-1552800010,3/11/15,5,2.75,2980,9838,1,0,0,3,7,1710,1270,1968,0,98030,47.3807,-122.222,2240,9838,352000
-1118002000,6/24/14,5,4.75,6390,13180,2,0,0,3,10,4560,1830,1940,0,98112,47.6312,-122.291,4010,8137,2470000
-8564600080,11/6/14,3,2,1590,10229,1,0,0,3,7,1590,0,1966,0,98034,47.7239,-122.227,1320,10222,395000
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-2624079022,10/20/14,3,2.25,1880,100623,1.5,0,0,3,8,1880,0,1987,2007,98024,47.5342,-121.883,2520,21689,530000
-5051800130,7/24/14,4,3.25,3500,10260,2,0,0,3,10,3500,0,1987,0,98008,47.5902,-122.13,3500,10658,798000
-7940700190,8/13/14,2,2,1370,5756,1,0,0,3,8,1370,0,1986,0,98034,47.714,-122.205,1380,5444,380000
-5422810010,8/19/14,4,2.5,2810,10433,2,0,0,3,8,2810,0,2001,0,98022,47.1895,-122.015,2640,9240,350000
-3529200190,5/14/14,3,2.5,2220,6049,2,0,0,4,8,2220,0,1990,0,98031,47.3972,-122.182,1980,7226,325000
-8944320280,4/2/15,3,2.5,2110,4549,2,0,0,4,8,2110,0,1989,0,98042,47.3885,-122.154,2110,4030,336000
-3222069153,10/24/14,3,2.25,1720,17235,1,0,0,4,7,1440,280,1974,0,98042,47.3438,-122.073,1990,35048,286900
-7211300050,9/30/14,5,2.25,1780,7245,1,0,0,4,8,1330,450,1976,0,98052,47.6946,-122.12,1780,7653,472000
-1545806980,6/30/14,3,1.75,1410,8100,2,0,0,3,7,1410,0,1985,0,98038,47.3617,-122.046,1560,8100,263000
-9297300255,7/16/14,3,3,2110,4000,1,0,2,4,7,1110,1000,1965,0,98126,47.5696,-122.375,1730,4000,565000
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-9201300020,8/11/14,3,2.25,2610,9409,1,1,4,4,8,2610,0,1963,0,98075,47.5789,-122.076,2970,9156,1520000
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-98000980,4/27/15,4,3.5,4570,16219,2,0,0,3,11,4570,0,2002,0,98075,47.5859,-121.968,4700,16500,1100000
-1796100010,9/11/14,3,3,3760,188760,1,0,0,4,10,2640,1120,1979,0,98092,47.308,-122.087,2820,50543,555000
-2781280290,4/27/15,3,2.5,1610,3516,2,0,0,3,8,1610,0,2006,0,98055,47.4491,-122.188,1610,3056,305000
-1448800010,9/1/14,3,2.25,1740,9370,1,0,0,3,7,1390,350,1992,0,98198,47.391,-122.316,1740,7555,289950
-1526079026,8/13/14,5,3.5,3530,218472,2,0,0,3,7,2380,1150,1999,0,98019,47.7309,-121.905,2110,211404,487500
-1788800630,10/29/14,3,1,840,12091,1,0,0,3,6,840,0,1959,0,98023,47.3281,-122.343,840,9324,96500
-1788800630,2/25/15,3,1,840,12091,1,0,0,3,6,840,0,1959,0,98023,47.3281,-122.343,840,9324,185000
-8864000250,8/27/14,4,1,1470,6061,1.5,0,0,3,7,1470,0,1945,0,98168,47.4819,-122.289,1230,6175,150550
-7972600670,6/24/14,4,2,2470,5080,1.5,0,0,3,6,1970,500,1948,1988,98106,47.5308,-122.348,1060,5080,339000
-4077800094,2/2/15,4,1.75,2220,7230,1,0,1,3,8,1280,940,1950,0,98125,47.7065,-122.279,2210,7230,675000
-9834200440,6/24/14,3,1.75,1720,4080,1,0,0,4,7,960,760,1924,0,98144,47.5747,-122.287,1660,4080,615000
-1245002125,6/4/14,4,2.5,2700,9320,2,0,0,4,8,2700,0,1994,0,98033,47.6861,-122.198,2120,8056,837500
-5634500170,8/19/14,2,1,950,11835,1,0,0,3,5,950,0,1932,0,98028,47.7494,-122.237,1690,12586,250000
-1954400500,6/25/14,3,2.5,1790,8144,2,0,0,3,8,1790,0,1989,0,98074,47.6169,-122.045,1800,7503,583000
-9528102771,9/4/14,3,2.5,1610,1728,3,0,0,3,8,1610,0,2000,0,98115,47.6776,-122.318,1540,3090,499000
-2895600095,7/16/14,3,2.5,2290,6328,2,0,0,3,8,2290,0,2001,0,98146,47.5103,-122.382,1600,6180,550000
-2921079027,9/24/14,4,2.5,2170,204296,1,0,0,4,7,2170,0,1980,0,98022,47.281,-121.933,1760,154202,400000
-524059323,2/19/15,3,2.5,2100,4097,2,0,0,3,9,2100,0,2008,0,98004,47.5983,-122.2,1820,4764,990400
-824069173,8/21/14,3,2.5,2320,52272,1.5,0,0,3,8,2320,0,1974,0,98075,47.587,-122.068,2200,52272,600000
-2678100005,2/12/15,2,1,1120,6236,1,0,0,4,6,1120,0,1954,0,98155,47.763,-122.291,1340,7784,325000
-2025700080,7/10/14,3,2.5,1530,6000,2,0,0,4,7,1530,0,1991,0,98038,47.3487,-122.036,1360,6000,265000
-6613000585,1/8/15,3,2.5,3490,9362,1,0,3,5,9,1770,1720,1960,0,98105,47.6605,-122.27,3640,7425,1620000
-2597000006,3/9/15,3,1.5,1180,8353,1,0,0,3,7,1180,0,1960,0,98155,47.7652,-122.274,1710,8748,347500
-1923300170,1/9/15,5,2,2050,3000,1.5,0,0,3,7,1470,580,1912,1984,98103,47.6864,-122.352,1560,4500,629000
-1224049005,7/8/14,2,2,2360,11340,1.5,0,0,3,9,2360,0,1997,0,98040,47.5835,-122.227,3030,11340,1090000
-4123840050,6/30/14,4,2.5,2570,7859,2,0,0,3,8,2570,0,1992,0,98038,47.3736,-122.045,2150,7284,397500
-1937300280,10/30/14,2,1,1270,3700,1.5,0,0,3,7,1270,0,1909,0,98144,47.5949,-122.307,1980,3200,404500
-9183703376,5/13/14,3,1.5,1250,7500,1,0,0,3,7,1250,0,1967,0,98030,47.3719,-122.215,1260,7563,225000
-9542801310,5/13/15,3,2.25,2510,9900,1,0,0,3,8,1610,900,1978,0,98023,47.2988,-122.374,1940,8510,267000
-2771104830,6/11/14,4,3.75,2690,4000,2,0,3,4,9,2120,570,1909,1989,98119,47.6418,-122.372,2830,4000,800000
-7967650010,2/10/15,4,2.5,2900,6918,2,0,0,3,8,2900,0,2001,0,98001,47.3504,-122.284,2720,10376,339000
-6744701310,4/15/15,4,2.5,3830,11972,1,1,4,3,11,2370,1460,1981,0,98155,47.7404,-122.284,3080,12297,1850000
-3131201310,9/30/14,5,1,1280,3876,1.5,0,0,3,7,1280,0,1923,0,98105,47.6605,-122.324,1420,3825,525000
-3630180500,10/6/14,5,3.5,4350,6218,2,0,2,3,10,3520,830,2007,0,98027,47.5396,-121.997,3260,5989,1150000
-7624700050,12/23/14,1,1,1370,6250,1.5,0,0,4,7,1370,0,1921,0,98136,47.5571,-122.385,1450,6250,565000
-3274800460,5/20/14,2,2.25,1230,1280,2,0,0,3,8,960,270,2012,0,98144,47.5942,-122.298,1130,1357,387000
-1939000010,6/19/14,4,2.5,2440,34290,2,0,0,3,9,2440,0,1987,0,98053,47.6685,-122.044,2860,38119,720000
-4139490190,7/11/14,4,3.5,4410,12426,2,0,2,3,12,3420,990,1996,0,98006,47.5518,-122.107,4090,12127,1500000
-6381500170,8/26/14,2,1,910,7617,1,0,0,3,6,910,0,1936,0,98125,47.7332,-122.305,1310,6624,235000
-6381500170,1/16/15,2,1,910,7617,1,0,0,3,6,910,0,1936,0,98125,47.7332,-122.305,1310,6624,365000
-1954420170,5/21/14,3,2.5,2150,7484,2,0,0,3,8,2150,0,1988,0,98074,47.6191,-122.043,2150,6879,368250
-1954420170,11/13/14,3,2.5,2150,7484,2,0,0,3,8,2150,0,1988,0,98074,47.6191,-122.043,2150,6879,580000
-623059016,7/17/14,4,3.25,3190,11774,2,1,4,3,8,2610,580,1956,1991,98178,47.5033,-122.225,2240,8725,1100000
-6181400470,1/27/15,4,2.5,2130,4496,2,0,0,3,7,2130,0,2004,0,98001,47.3041,-122.28,3220,5400,215000
-3904920980,9/9/14,4,2.5,2740,9959,2,0,0,3,9,2740,0,1989,0,98029,47.5672,-122.011,2630,9905,648000
-7215730430,9/3/14,4,3,3150,9318,2,0,0,3,9,3150,0,2001,0,98075,47.5959,-122.018,3150,9318,705000
-475000190,1/9/15,3,2.25,1450,1540,2,0,0,3,8,1180,270,2005,0,98107,47.6685,-122.365,1450,1540,465000
-2877100235,12/22/14,5,2,2400,3500,1.5,0,0,3,8,1900,500,1911,0,98103,47.6762,-122.356,1520,4000,650000
-7893202340,7/21/14,4,2.25,2280,7500,1,0,0,4,7,1140,1140,1963,0,98198,47.4182,-122.332,1660,8000,335000
-9238430190,4/28/15,4,2,2310,31850,1.5,0,0,4,8,2310,0,1984,0,98072,47.7713,-122.122,2710,36042,640000
-1939120050,3/3/15,4,2.5,2460,8029,2,0,0,3,9,2460,0,1989,0,98074,47.6262,-122.03,2420,7987,638250
-9197800010,10/17/14,4,3.5,4200,14353,2,0,2,3,12,3640,560,1996,0,98040,47.5331,-122.217,3750,16316,1460000
-5248800250,4/27/15,4,2,1620,4600,2,0,0,3,7,1620,0,1909,0,98108,47.5533,-122.307,1620,4500,375000
-4457300630,7/16/14,4,1.75,2170,9525,1,0,0,3,8,2170,0,1960,0,98040,47.5685,-122.217,1910,9525,842000
-2228900161,10/8/14,3,2.25,2880,7200,1,0,0,3,8,1710,1170,1970,0,98133,47.7707,-122.35,1880,10200,499950
-6817850050,2/17/15,4,2.5,3280,25211,2,0,3,3,11,3280,0,1985,0,98074,47.6398,-122.05,3280,25211,810000
-1775800280,2/26/15,5,2,2900,11970,2,0,0,4,7,2900,0,1969,0,98072,47.741,-122.095,1260,12398,310000
-263000050,10/31/14,3,2.5,2160,8809,1,0,0,3,9,1540,620,2014,0,98103,47.6994,-122.349,930,5420,730000
-1870400470,11/13/14,4,1.75,2250,4750,1.5,0,0,4,7,1420,830,1924,0,98115,47.6738,-122.292,1930,4750,637800
-7839300185,2/6/15,3,1,1340,4800,1.5,0,0,4,5,1340,0,1903,0,98055,47.477,-122.209,1240,4800,225000
-2426039130,6/10/14,4,1,1390,10800,1.5,0,0,4,7,1390,0,1941,0,98177,47.7248,-122.359,1390,9360,417500
-2938200170,3/20/15,4,2,1600,10160,1,0,0,4,7,1600,0,1972,0,98022,47.2015,-122.003,1540,9352,265000
-1954440050,7/25/14,4,2.5,2050,8683,2,0,0,3,8,2050,0,1987,0,98074,47.62,-122.043,2010,8744,550000
-2224079001,1/26/15,3,2,2570,159865,1,0,0,5,7,2570,0,1968,0,98024,47.5547,-121.892,2010,38322,625700
-200520080,8/1/14,3,2.5,2660,10637,2,0,0,3,9,2660,0,1991,0,98011,47.7383,-122.22,2590,8637,595000
-2195900010,7/14/14,3,1.5,1540,13475,1,0,0,4,7,1540,0,1972,0,98059,47.4766,-122.153,1550,13475,270000
-5707500050,7/18/14,5,3,2640,3200,2,0,0,4,7,2140,500,1906,0,98112,47.6188,-122.308,1540,2242,739375
-8929000130,7/8/14,2,1.75,1210,1032,2,0,0,3,8,1210,0,2014,0,98029,47.5522,-121.999,1210,1090,357562
-2944000170,6/11/14,4,2.5,3760,29224,2,0,0,3,11,3760,0,1987,0,98052,47.7203,-122.128,3930,19916,1010000
-8682262330,9/30/14,2,1.75,1350,4286,1,0,0,3,8,1350,0,2004,0,98053,47.7171,-122.033,1440,4839,455000
-4167800130,5/1/15,5,2.25,2600,9600,1,0,2,4,8,1810,790,1969,0,98023,47.3257,-122.365,2070,9660,310000
-1624079088,8/11/14,3,2.75,3900,111514,2,0,0,3,6,3460,440,1967,2008,98024,47.5621,-121.924,2460,217800,415000
-7370600050,8/19/14,2,1,1340,8100,1,0,2,3,8,1340,0,1950,0,98177,47.7212,-122.364,1680,7752,452000
-2025059134,1/13/15,3,2,1760,16928,1,0,0,3,7,1760,0,1953,0,98004,47.6363,-122.202,3430,10059,810000
-7522500020,5/27/14,3,2,1840,4750,1,0,0,5,7,1010,830,1951,0,98117,47.6862,-122.395,1760,5510,730001
-1125069134,4/30/15,3,2.25,2980,86636,1,0,0,3,9,2230,750,1989,0,98053,47.6627,-122.003,2980,107157,825000
-8032700010,7/16/14,3,2.5,1730,3000,2,0,0,3,8,1730,0,1996,0,98103,47.6532,-122.34,1730,1774,665000
-2473370050,6/4/14,4,1.75,1650,7800,1,0,0,3,8,1650,0,1968,0,98058,47.4507,-122.139,1750,10400,327500
-3276930050,7/28/14,3,2.5,3370,36218,2,0,0,4,9,3370,0,1988,0,98075,47.5855,-121.987,2980,31793,699950
-3211230080,7/28/14,3,2.5,2200,34680,2,0,0,3,9,2200,0,1985,0,98092,47.3139,-122.116,2560,35840,424000
-7519000471,6/25/14,4,2.5,2180,3375,1.5,0,0,4,7,1420,760,1926,0,98117,47.6846,-122.361,1560,3375,657000
-8563000130,7/17/14,3,1.75,1490,10844,1,0,0,3,7,1210,280,1974,0,98008,47.6208,-122.106,2090,9944,445000
-2770604103,7/31/14,3,2.5,1530,762,2,0,0,3,8,1050,480,2007,0,98119,47.642,-122.374,1610,1482,450000
-3581000020,9/26/14,3,1,1180,7455,1,0,0,4,7,1180,0,1964,0,98034,47.7276,-122.241,1450,8154,350000
-9432750190,11/12/14,4,2.5,2080,17532,2,0,0,3,9,2080,0,1996,0,98059,47.4835,-122.136,2550,12560,460000
-1622059088,6/26/14,4,2.5,3200,22651,1,0,0,5,8,1610,1590,1970,0,98031,47.3931,-122.183,2030,5500,385000
-5559900080,11/4/14,4,2.25,1880,6160,2,0,0,3,7,1880,0,1993,0,98023,47.3214,-122.347,1580,6405,272000
-7202260780,1/20/15,3,2.5,2510,5544,2,0,0,3,7,2510,0,2001,0,98053,47.6903,-122.042,2660,5614,535000
-8651410950,4/30/15,2,1,1060,5200,1,0,0,3,6,1060,0,1969,0,98042,47.3688,-122.08,910,5200,216500
-7843500080,2/25/15,3,2.5,2130,12245,2,0,0,3,8,2130,0,1989,0,98042,47.3406,-122.057,1910,12216,325000
-3205400290,4/6/15,3,1.75,1320,7280,1,0,0,3,7,1320,0,1968,0,98034,47.7229,-122.18,1370,7800,420200
-7129300420,12/2/14,3,1.75,1040,5650,1,0,0,5,6,1040,0,1951,0,98178,47.5111,-122.256,1290,5650,258000
-263000280,12/2/14,3,2,1150,4500,1.5,0,0,3,7,1150,0,1917,1991,98103,47.6985,-122.348,1230,5400,450000
-2919200280,12/8/14,4,2.25,2120,3794,2,0,0,4,7,1420,700,1926,0,98117,47.6893,-122.359,1420,3840,720168
-2769602880,10/2/14,3,2,2130,5000,1.5,0,0,5,7,1330,800,1925,0,98107,47.6746,-122.362,2010,5000,652000
-8078440050,7/30/14,4,2.5,2340,8248,2,0,0,3,8,2340,0,1989,0,98074,47.6314,-122.03,2140,9963,569500
-1922069071,4/24/15,4,1.75,2250,292288,1,0,0,4,7,2250,0,1963,0,98042,47.3787,-122.091,1550,23798,411000
-7518502945,5/19/14,3,1.75,1890,3825,1,0,0,3,7,1290,600,1974,0,98117,47.6831,-122.381,1320,3825,524950
-7568700480,3/23/15,2,1,1140,10152,1,0,0,3,6,760,380,1942,0,98155,47.7369,-122.321,1340,10141,153000
-9577800005,10/22/14,3,2.5,2780,5467,2,0,2,3,9,2780,0,2000,0,98126,47.5791,-122.378,2630,5000,775000
-7436050170,1/12/15,4,2.5,2390,6111,2,0,0,3,8,2390,0,1997,0,98030,47.3677,-122.173,2520,6500,338500
-7200001259,5/1/15,3,1.75,2390,9000,1,0,0,3,8,1500,890,1975,0,98052,47.6809,-122.113,2040,9000,570000
-4127000095,10/29/14,3,2,2680,8429,1,0,0,4,9,1880,800,1950,1991,98038,47.372,-122.036,1570,8640,653000
-1934800086,11/20/14,2,2.5,1560,1222,2,0,0,3,8,1080,480,2008,0,98122,47.604,-122.307,1560,2081,435000
-3361401025,11/26/14,2,1,1130,8160,1,0,0,4,6,1130,0,1952,0,98168,47.4997,-122.317,1060,6120,207000
-7430500415,7/25/14,2,1,1120,7500,1,0,2,4,7,1120,0,1971,0,98008,47.619,-122.096,3040,16940,540000
-1622049182,6/25/14,4,2.25,2050,9583,2,0,2,3,8,1770,280,1965,0,98198,47.3978,-122.313,2230,9730,386000
-7749500250,8/27/14,5,2.25,2600,8075,1.5,0,0,4,8,2600,0,1969,0,98092,47.2961,-122.188,2200,8800,265000
-1773101159,1/7/15,3,2.25,1050,572,2,0,0,3,7,740,310,2006,0,98106,47.5549,-122.363,1260,1062,250000
-9829200250,1/5/15,3,2,2600,6600,2,0,4,3,10,1930,670,1970,2014,98122,47.6055,-122.285,2670,6270,1700000
-3303860130,12/3/14,4,2.5,2811,7251,2,0,0,3,9,2811,0,2009,0,98038,47.3686,-122.058,3040,7250,455000
-9359100500,5/27/14,4,3.25,4060,13000,2,0,3,3,11,4060,0,2000,0,98040,47.581,-122.246,3220,13800,1800000
-1250203860,10/30/14,3,2,2260,7200,1,0,3,3,7,1130,1130,1941,0,98144,47.5886,-122.288,2260,6000,759000
-2386000170,3/26/15,4,2.75,4430,74358,2,0,0,3,10,4430,0,1990,0,98053,47.6392,-121.988,3820,80875,970000
-2600000050,8/27/14,3,2.25,2430,8327,1,0,0,4,9,1430,1000,1978,0,98006,47.5534,-122.16,2550,10427,690000
-7856640170,7/8/14,3,2.5,3420,25150,1,0,0,4,10,1750,1670,1987,0,98006,47.5706,-122.152,2900,19604,789900
-5540800130,3/18/15,2,1,1180,5100,1.5,0,0,3,7,1180,0,1926,0,98103,47.6947,-122.346,980,5100,447500
-7955060010,6/13/14,4,2.25,2010,7575,1,0,0,3,7,1220,790,1974,0,98034,47.7328,-122.2,1820,7831,440000
-7760400470,4/14/15,3,2,1230,7789,1,0,0,3,7,1230,0,1994,0,98042,47.3718,-122.073,1470,8670,278000
-9551202130,7/14/14,5,2.5,2750,6000,1.5,0,0,3,8,1750,1000,1904,1994,98103,47.6729,-122.334,1520,4158,980000
-4345000050,6/30/14,3,2.75,1300,14197,1,0,0,3,7,860,440,1996,0,98030,47.3652,-122.183,1550,7596,245000
-7334501440,10/21/14,3,1.5,1150,11475,1,0,0,3,7,1150,0,1971,0,98045,47.4629,-121.744,1640,11475,287000
-1523069215,6/3/14,3,1.75,2220,132858,1,0,0,3,7,1110,1110,1988,0,98027,47.4853,-122.034,2130,77536,435000
-5525400430,7/15/14,3,2.5,2050,11690,2,0,0,4,9,2050,0,1989,0,98059,47.5279,-122.161,2410,10172,585000
-871001611,7/1/14,4,1.75,1700,5846,1,0,0,3,8,1700,0,1957,0,98199,47.6539,-122.408,1480,5177,616000
-1685200190,1/15/15,3,1.75,1610,9000,1,0,0,4,7,1100,510,1978,0,98092,47.3187,-122.179,1610,8000,203000
-1982200675,5/6/15,4,2.75,2720,3840,2,0,0,3,8,1790,930,1920,2009,98107,47.6624,-122.361,1360,3880,860000
-1201500010,3/30/15,4,2.5,2190,12690,1,0,2,3,8,1170,1020,1973,0,98033,47.6627,-122.189,2630,10843,833000
-1822360080,12/11/14,4,2.75,2730,6856,2,0,0,3,8,2730,0,2003,0,98072,47.7739,-122.164,2520,5569,565000
-4113800500,2/12/15,3,2.5,2490,7589,2,0,0,3,9,2490,0,1991,0,98056,47.5355,-122.179,2500,10386,572500
-4299700095,5/16/14,4,2,1510,4235,1,0,0,3,7,1510,0,1955,0,98108,47.546,-122.293,1510,4268,254000
-3585900500,4/2/15,4,4.25,4720,21000,3,0,4,5,11,4720,0,1971,0,98177,47.7591,-122.376,3010,20000,1530000
-326069026,1/21/15,4,3,3810,217800,2,0,0,3,9,3810,0,2003,0,98077,47.7696,-122.021,2580,217364,900000
-4070700290,2/26/15,3,2.5,1950,3730,2,0,0,3,9,1950,0,1996,0,98033,47.6731,-122.199,2080,4000,899000
-7625703800,4/24/15,3,2,1300,6000,1,0,0,5,7,1300,0,1943,0,98136,47.5482,-122.392,1230,6000,560000
-643400130,3/4/15,3,1.75,1610,7200,1,0,0,3,7,1180,430,1976,0,98007,47.5966,-122.144,1520,7973,512500
-2877103070,2/23/15,4,2.5,2040,5000,1.5,0,0,5,7,1180,860,1924,0,98117,47.6786,-122.36,1540,5000,775000
-421000185,6/11/14,2,1,700,4700,1,0,0,5,5,700,0,1953,0,98056,47.4953,-122.169,960,5200,200000
-2113700825,7/31/14,3,1,970,4700,1,0,0,4,6,720,250,1943,0,98106,47.5285,-122.354,1560,4600,172000
-623049093,5/22/14,3,1,910,6000,1,0,0,2,6,910,0,1956,0,98146,47.5065,-122.338,1090,6957,219900
-4348800080,7/11/14,3,1,1060,9123,1,0,0,3,7,1060,0,1952,0,98004,47.6218,-122.193,1620,9121,641200
-3762900010,7/15/14,5,3.25,2180,7200,2,0,0,4,7,2180,0,1982,0,98034,47.7078,-122.234,1840,7644,473000
-3578401700,7/1/14,3,1.75,2050,9580,1,0,0,3,8,1400,650,1984,0,98074,47.6212,-122.038,1740,11952,540000
-1211000280,5/4/15,2,1,750,4500,1,0,0,3,6,750,0,1945,0,98122,47.607,-122.297,1540,4000,295000
-1324300091,5/28/14,3,1,800,2296,1,0,0,4,6,800,0,1908,0,98103,47.6546,-122.356,1480,1472,370000
-4141800285,7/14/14,4,2.25,3470,8000,1.5,0,1,3,9,2360,1110,1906,2002,98122,47.6149,-122.287,3010,8000,1730000
-1524079088,5/9/14,3,1.5,1390,48257,1,0,0,3,6,1390,0,1922,2013,98024,47.5603,-121.894,1440,45302,275000
-9320900420,10/14/14,3,1,900,4750,1,0,0,4,6,900,0,1969,0,98023,47.3026,-122.363,900,3404,89000
-7349800780,8/5/14,2,1.75,1050,9800,1.5,0,0,4,6,1050,0,1975,0,98019,47.7595,-121.473,1230,12726,175000
-1196002948,2/18/15,3,2.5,2410,11900,1,0,2,4,9,1600,810,1989,0,98023,47.3384,-122.34,3090,11902,490000
-5631500213,5/15/14,3,2.25,1180,9630,2,0,0,3,7,1180,0,1986,0,98028,47.7352,-122.232,2660,5979,342400
-3416601045,6/23/14,3,1,1140,4200,2,0,0,4,7,1140,0,1904,0,98144,47.6012,-122.296,1510,4000,345000
-9828701650,11/25/14,2,1,700,3400,1,0,0,3,6,700,0,1946,0,98112,47.6212,-122.296,1570,4512,399000
-6071300500,8/15/14,4,2.5,2060,9719,1,0,0,4,8,1320,740,1960,0,98006,47.5549,-122.176,2050,9643,550000
-6072760670,12/3/14,3,2.25,2230,11835,1,0,0,5,8,1630,600,1974,0,98006,47.563,-122.178,2190,10384,652450
-9141100255,4/29/15,2,2.25,1950,29347,1,0,0,3,8,1350,600,1953,0,98133,47.739,-122.351,2125,7751,438000
-2824600290,4/3/15,3,1.75,2100,5058,1,0,2,3,7,1340,760,1941,0,98126,47.5743,-122.378,1640,5000,605000
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-7853310380,12/11/14,4,2.75,3190,8737,2,0,0,3,9,3190,0,2006,0,98065,47.523,-121.877,3240,7131,587000
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-2123049142,8/14/14,4,2.5,2040,7800,2,0,0,3,7,2040,0,2003,0,98168,47.473,-122.293,1860,10954,294000
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-1443550080,3/30/15,4,2.5,2340,12080,2,0,0,3,8,2340,0,1999,0,98019,47.7325,-121.969,2200,12403,487600
-2205700345,7/7/14,4,2,1700,8640,1,0,0,3,7,850,850,1955,2010,98006,47.5774,-122.153,1620,9000,500000
-6926700660,9/11/14,2,2,1450,989,3,0,0,3,9,1450,0,2014,0,98109,47.6354,-122.346,1490,1240,680000
-3279050130,9/10/14,3,2.5,3310,21096,2,0,2,3,9,3310,0,2004,0,98023,47.3049,-122.386,3310,13835,419000
-2770606890,8/7/14,4,1.75,1520,5250,1,0,0,3,6,1520,0,1949,0,98199,47.6581,-122.39,1530,5250,450000
-2867100190,6/18/14,5,1.75,1260,4500,1.5,0,0,3,7,1260,0,1926,0,98119,47.6452,-122.369,1410,4388,650000
-8562600190,6/23/14,3,1.75,1840,8086,1,0,0,4,8,1840,0,1964,0,98052,47.67,-122.155,1840,8060,550000
-5680000545,12/3/14,4,2,1750,5202,1,0,1,4,6,1070,680,1942,0,98108,47.5677,-122.317,2090,5400,330000
-1922059027,1/23/15,4,1,1450,32234,1.5,0,0,4,6,1450,0,1932,0,98030,47.3818,-122.21,1530,10125,282510
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-3275300440,11/20/14,2,2,1260,10200,1,0,0,3,7,1020,240,1983,0,98003,47.2593,-122.312,1560,10200,230000
-952001735,10/4/14,4,1.75,2100,6613,2,0,0,3,8,2100,0,1909,2004,98116,47.567,-122.385,1630,5750,750000
-1402950190,9/16/14,4,2.5,2430,5366,2,0,0,3,8,2430,0,2002,0,98092,47.3352,-122.19,2100,5414,321000
-4045100190,10/27/14,4,3.25,4250,18000,2,0,3,5,10,3350,900,1980,0,98040,47.5612,-122.229,3790,14537,2200000
-1207200010,3/18/15,4,2,1830,10416,1,0,0,3,7,1370,460,1958,0,98146,47.4878,-122.341,1830,9271,245000
-6815100095,12/23/14,2,1,1310,4000,1,0,0,3,6,1310,0,1913,0,98103,47.6854,-122.329,1550,4000,510000
-3825310130,6/24/14,4,3.25,3090,9571,2,0,0,3,9,2370,720,2004,0,98052,47.7058,-122.131,3630,9110,751000
-3276930380,5/23/14,4,2.5,2560,36601,2,0,0,4,9,2560,0,1987,0,98075,47.5851,-121.992,2790,36601,675000
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-2056100275,10/6/14,2,1.5,1390,5000,1,0,0,4,8,970,420,1954,0,98116,47.5673,-122.401,1610,5000,530000
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-9528100899,4/28/15,3,2.5,1850,1330,2.5,0,0,3,9,1560,290,2004,0,98115,47.6831,-122.325,1810,2071,827000
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-6911700066,6/4/14,2,1,670,2378,1,0,0,3,5,670,0,1919,0,98126,47.5769,-122.372,700,2970,175000
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-9510910250,1/20/15,4,2.5,2095,4569,2,0,0,3,9,2095,0,2002,0,98052,47.6603,-122.087,2095,4385,670000
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-9828200525,8/15/14,1,1,860,4800,1,0,0,3,6,860,0,1907,0,98122,47.6146,-122.299,1380,4800,330000
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-5062300280,4/16/15,3,1,890,6488,1.5,0,0,3,5,890,0,1928,0,98014,47.7087,-121.352,1330,16250,150000
-7167000020,6/16/14,4,2.5,4290,175421,2,0,0,3,10,4290,0,2004,0,98010,47.3585,-121.988,3370,63162,792500
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-2268000050,7/21/14,3,1,1010,8848,1,0,0,4,7,1010,0,1968,0,98003,47.2742,-122.299,1380,10650,229900
-8857640170,5/6/15,4,2.5,2830,6536,2,0,0,3,8,2830,0,2003,0,98038,47.3888,-122.032,2830,6872,533000
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-9206700190,3/6/15,3,2.5,3370,167706,1,0,0,3,10,3370,0,2000,0,98038,47.4379,-122.022,3350,213444,713900
-4136930190,10/28/14,4,2.5,3160,8726,2,0,0,3,9,3160,0,1999,0,98092,47.2582,-122.223,2500,8648,427500
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-1424059022,7/8/14,3,2.5,3830,48743,2,0,0,3,11,3830,0,1991,0,98006,47.5663,-122.125,2950,8299,1150000
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-1775500050,1/29/15,1,1,1160,64469,1,0,0,3,7,1160,0,2009,0,98072,47.7433,-122.082,1580,48352,440000
-7611200086,6/2/14,3,1.5,1840,9990,2,0,0,5,8,1840,0,1961,0,98177,47.7145,-122.369,2100,12474,686000
-3376600010,12/1/14,4,1.75,2260,11000,1,0,0,3,8,1620,640,1976,0,98008,47.6224,-122.109,1960,10000,555000
-7519001990,10/27/14,2,1,840,3860,1,0,0,4,6,840,0,1909,0,98117,47.6842,-122.365,1390,3860,361500
-7613700950,6/10/14,5,3,2830,7500,2,0,0,3,9,2460,370,1923,0,98105,47.6579,-122.277,2900,5000,1240000
-3802000020,7/9/14,4,1,1600,10183,1,0,0,4,6,1600,0,1966,0,98002,47.277,-122.211,1410,10416,154950
-1796360470,6/17/14,3,1.75,1370,8719,1,0,0,3,7,1370,0,1982,0,98042,47.3664,-122.087,1370,7525,247200
-8732160050,8/22/14,3,2.25,1960,7414,1,0,0,3,7,1490,470,1984,0,98023,47.2977,-122.374,1580,8038,250000
-5249800345,6/19/14,3,1.5,1470,7200,2,0,0,4,7,1470,0,1907,0,98118,47.5602,-122.28,1530,7200,590300
-6071200545,5/5/14,5,2.75,2740,8426,1,0,0,4,8,1370,1370,1960,0,98006,47.5563,-122.184,2020,8783,541125
-291300280,2/18/15,2,2.5,1090,923,2,0,0,3,7,1090,0,2004,0,98027,47.5347,-122.071,1410,1326,310000
-3261000080,3/10/15,4,2.75,2460,9520,1,0,1,3,8,1680,780,1976,0,98034,47.7021,-122.233,2380,9600,704111
-321049127,10/28/14,3,2.25,1820,19602,1,0,0,4,7,1820,0,1964,0,98001,47.331,-122.286,1520,8773,277500
-5379804393,2/17/15,4,2.75,1960,8937,1,0,0,5,7,980,980,1954,0,98188,47.451,-122.278,1480,10016,325000
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-1377300005,4/1/15,4,3.5,3470,8580,2,0,0,3,11,2500,970,2007,0,98199,47.6433,-122.403,1940,7920,1450000
-6668900020,3/18/15,4,2,1370,8100,1,0,0,2,7,1370,0,1947,0,98155,47.749,-122.312,1280,8100,420550
-326049024,4/10/15,4,2.25,2370,11310,1,0,0,3,8,1550,820,1968,0,98155,47.7684,-122.289,1890,8621,603000
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-6430500233,4/16/15,3,2,1840,3075,1,0,0,5,7,920,920,1928,0,98103,47.6894,-122.35,1480,3774,650000
-7701800050,6/25/14,5,3,2790,19439,1,0,3,5,7,1500,1290,1973,0,98058,47.4088,-122.089,1620,19439,589950
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-9828200460,1/6/15,2,1,700,4800,1,0,0,3,7,700,0,1922,0,98122,47.6147,-122.3,1440,4800,430000
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-9834201470,12/18/14,2,1.5,1000,1075,2,0,0,3,7,840,160,2007,0,98144,47.5708,-122.288,1000,1083,303000
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-3459000050,6/10/14,3,1.75,2290,14800,1,0,0,3,8,1620,670,1965,0,98155,47.7735,-122.273,2320,12474,470000
-2624049091,3/13/15,5,2.5,3750,91681,2,1,4,3,10,3750,0,1925,0,98118,47.5379,-122.264,3540,24293,2900000
-1138000250,5/21/14,3,1.5,980,7790,1,0,0,5,7,980,0,1969,0,98034,47.7141,-122.213,1390,7280,350000
-4399210130,6/26/14,2,1.75,1590,11276,1,0,0,4,7,1590,0,1972,0,98002,47.3177,-122.21,1750,10687,225500
-2770601365,2/24/15,2,1,940,4000,1,0,0,3,6,720,220,1942,0,98199,47.6488,-122.385,1180,6000,473000
-7272000980,2/26/15,3,1.75,1750,9623,1,0,0,3,7,1150,600,1962,0,98198,47.3997,-122.313,1820,9623,279000
-1566100010,4/14/15,3,1,1460,8227,1,0,0,3,6,880,580,1948,0,98125,47.7009,-122.301,1530,8128,470000
-6338000592,8/20/14,3,1.75,1540,4800,1,0,0,4,6,770,770,1925,0,98105,47.67,-122.284,1510,4080,565000
-2815600305,4/22/15,3,2,2560,6800,1,0,1,4,8,1380,1180,1952,0,98136,47.5506,-122.395,1780,6800,695000
-561500290,7/11/14,3,1.75,1660,37642,1,0,0,4,7,1660,0,1991,0,98022,47.2559,-122.007,2070,54450,315000
-3905080280,3/4/15,3,2.5,1880,4499,2,0,0,3,8,1880,0,1993,0,98029,47.5664,-121.999,2130,5114,529000
-925069071,1/26/15,5,3.75,3500,101494,1.5,0,0,3,8,3500,0,1967,1990,98053,47.6745,-122.054,3250,38636,750000
-2426049174,10/29/14,3,2.25,1840,10500,2,0,0,3,7,1840,0,1993,0,98034,47.7326,-122.234,1840,7374,481500
-9407600250,3/27/15,3,2,1060,7412,1,0,0,3,7,1060,0,1987,0,98038,47.3897,-122.051,1080,7093,211000
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-7224000950,11/3/14,2,1,810,4838,1,0,0,3,5,810,0,1938,0,98055,47.4909,-122.203,890,4838,238950
-464001025,9/18/14,4,3.5,2600,5100,2,0,0,3,8,1820,780,2003,0,98117,47.6948,-122.395,2000,6720,722500
-5569700020,7/30/14,4,2.5,3230,19193,1,0,3,4,8,2000,1230,1973,0,98075,47.5755,-122.07,3230,13420,795000
-1310910290,5/7/15,4,2.25,2240,9600,2,0,0,3,8,2240,0,1971,0,98032,47.361,-122.281,2050,9240,327500
-5104531640,3/23/15,4,3,3400,5100,2,0,0,3,9,3400,0,2006,0,98038,47.3548,-122.002,3400,5672,585000
-1025039145,6/13/14,4,2,3140,10875,1,0,1,3,7,1940,1200,1939,1969,98199,47.6656,-122.406,3300,10080,775000
-5406500170,10/24/14,4,2.5,2780,4200,2,0,0,3,8,2780,0,2001,0,98075,47.5989,-122.039,2510,4200,645000
-1826049426,1/5/15,4,2.75,2320,12368,1,0,0,3,8,1670,650,1968,0,98133,47.7373,-122.35,2070,9575,445000
-2011000010,5/2/14,3,1.75,1370,5858,1,0,0,3,7,1370,0,1987,0,98198,47.3815,-122.313,1400,7500,257950
-9368700006,3/24/15,5,1.75,2230,7560,1,0,0,3,7,1230,1000,1959,0,98178,47.5055,-122.26,1380,6570,375000
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-4053200285,8/11/14,3,2.5,3410,41022,2,0,0,3,11,3410,0,1990,0,98042,47.3228,-122.08,2150,21429,725000
-5411600020,3/4/15,4,2.5,2810,4922,2,0,0,3,9,2810,0,2005,0,98074,47.614,-122.041,2920,4922,702000
-847100078,8/18/14,3,1.75,1850,14986,2,0,0,3,6,1850,0,1943,2005,98059,47.4837,-122.148,2660,10650,330000
-4232903295,4/16/15,3,1.5,1790,4800,1.5,0,0,3,8,1790,0,1912,0,98119,47.6332,-122.362,1780,3600,940000
-7979900680,3/5/15,3,1,1150,11396,1.5,0,0,4,7,1150,0,1950,0,98155,47.7435,-122.296,1600,8146,354500
-492000532,2/22/15,4,2.75,2420,8700,1.5,0,0,4,7,2420,0,1914,0,98002,47.3109,-122.229,1070,4804,279950
-2310000430,5/7/15,3,2.25,1580,7034,1,0,0,4,7,1180,400,1989,0,98038,47.3564,-122.04,1470,7358,284000
-8832900780,10/13/14,5,2,1760,21562,1,0,1,3,8,1560,200,1959,0,98028,47.7597,-122.263,2150,12676,480000
-8832900780,4/8/15,5,2,1760,21562,1,0,1,3,8,1560,200,1959,0,98028,47.7597,-122.263,2150,12676,647500
-3249500020,4/6/15,3,2.5,2750,35000,2,0,0,3,9,2750,0,1993,0,98077,47.75,-122.024,2780,35862,625000
-8651442810,7/10/14,3,1,920,4875,1,0,0,4,7,920,0,1978,0,98042,47.3623,-122.09,1160,4875,152000
-8564500020,1/27/15,3,1,960,10181,1,0,0,3,7,960,0,1961,0,98034,47.7231,-122.229,1740,10194,322000
-3019300050,7/31/14,3,1.75,1120,4000,1,0,0,4,7,870,250,1916,0,98107,47.6684,-122.368,1470,4000,445000
-2460900020,7/30/14,3,1,1560,3960,1.5,0,0,4,7,1560,0,1907,0,98144,47.5936,-122.301,1280,3960,595000
-2698200010,5/13/15,3,1,1380,7334,1,0,0,3,7,980,400,1981,0,98055,47.4339,-122.192,1910,7859,165000
-104560010,6/10/14,4,2.5,1940,6206,2,0,0,3,7,1940,0,1990,0,98023,47.3063,-122.359,2060,7092,278500
-5710610430,3/13/15,3,1.75,1810,10625,1,0,0,3,8,1370,440,1973,0,98027,47.5322,-122.049,2140,10922,517500
-34000005,6/18/14,2,1,1100,4200,1,0,0,3,7,1100,0,1954,0,98136,47.5312,-122.392,1240,4000,343566
-7349400420,11/5/14,4,2.25,1980,9714,1,0,0,3,7,1170,810,1977,0,98002,47.3207,-122.209,1610,9272,286285
-3298300130,2/6/15,4,1.5,1340,6200,1,0,0,5,6,1340,0,1959,0,98008,47.6214,-122.119,1210,7178,474905
-7312400080,7/14/14,3,1.75,1680,4800,1,0,0,4,7,1400,280,1960,0,98126,47.5535,-122.377,1540,5000,550000
-3356404198,1/29/15,4,2.5,2060,16000,2,0,0,3,6,2060,0,1993,0,98001,47.2849,-122.251,1530,8000,286000
-2344300122,8/8/14,3,3.25,2620,7215,1,0,0,4,8,1770,850,1980,0,98004,47.5836,-122.2,2180,8931,900000
-3904901330,8/20/14,3,2.25,1610,5159,2,0,0,3,7,1610,0,1985,0,98029,47.5675,-122.019,1610,5210,449950
-7524100280,6/12/14,4,1.5,1490,7560,2,0,0,3,7,1490,0,1966,0,98198,47.3684,-122.318,1490,7689,259000
-2473390440,12/2/14,3,2.25,1900,8125,1,0,0,3,7,1540,360,1969,0,98058,47.4564,-122.162,1480,8284,340000
-2215800050,4/15/15,4,2.5,3440,56192,2,0,0,3,9,3440,0,1994,0,98053,47.6969,-122.046,3150,44431,785000
-2769602475,5/9/14,2,1,1840,3300,1.5,0,0,4,6,1130,710,1910,0,98107,47.6757,-122.362,1320,4000,490000
-9183700470,5/27/14,4,2,2330,6250,1,0,0,4,7,1400,930,1941,0,98030,47.3782,-122.228,2050,9000,344950
-1337800284,8/27/14,3,2,2250,2975,2,0,0,4,9,1880,370,1905,0,98112,47.6289,-122.309,2690,4800,950000
-3867400130,7/9/14,4,1.75,2000,3988,1,0,4,4,7,1000,1000,1958,0,98116,47.5925,-122.391,1690,4144,810000
-7856410020,3/9/15,2,2.5,3010,16050,1,0,3,4,9,1260,1750,1976,0,98006,47.5643,-122.16,3010,11612,998160
-9477730080,12/10/14,3,1.75,1680,7389,1,0,0,3,8,1150,530,1979,0,98056,47.5199,-122.184,2100,10348,377000
-3300760020,8/26/14,3,2,1530,6773,1,0,0,4,8,1530,0,1984,0,98033,47.6653,-122.194,2240,7201,595000
-148000440,8/18/14,2,1,970,4800,1,0,0,3,6,970,0,1911,1940,98116,47.5754,-122.414,1180,5900,313300
-1708400595,7/25/14,5,1.75,1550,5225,1.5,0,0,4,7,1550,0,1941,0,98108,47.554,-122.306,1220,5225,360000
-9264901680,3/23/15,3,1.75,1660,7350,1,0,0,2,8,1660,0,1979,0,98023,47.3118,-122.337,1840,7673,188000
-3226079091,9/12/14,3,2.5,3680,203860,1.5,0,0,3,9,3680,0,1994,0,98014,47.6903,-121.929,2410,144183,755000
-2877104175,9/10/14,5,3.5,3210,4060,2,0,2,3,10,2290,920,1917,2003,98117,47.6801,-122.357,1940,5000,1290000
-8843900396,7/14/14,3,1,1480,13280,2.5,0,0,3,6,1480,0,1940,0,98027,47.5378,-122.043,1510,8723,455000
-1425059193,10/9/14,5,3.5,3600,9312,2,0,3,3,10,2680,920,2005,0,98052,47.6582,-122.122,3420,9860,817500
-5694000768,9/22/14,3,2.25,1700,1481,3,0,0,3,8,1700,0,2002,0,98103,47.6598,-122.349,1560,1350,550000
-8732190460,5/5/15,3,1.75,1680,8725,1,0,0,3,8,1240,440,1978,0,98023,47.3107,-122.397,2020,8352,260000
-723099028,6/26/14,3,2,1550,34175,1.5,0,0,3,7,1550,0,1999,0,98045,47.4855,-121.698,2300,35174,320000
-4139480190,9/16/14,3,3.25,3780,10623,1,0,1,3,11,2650,1130,1999,0,98006,47.5506,-122.101,3850,11170,1150000
-1133000050,4/20/15,4,2.5,2360,7370,1,0,0,3,7,1460,900,1985,0,98125,47.7201,-122.308,1590,9906,362000
-2770601462,4/23/15,3,2.5,1810,1750,2,0,0,3,7,1350,460,1997,0,98199,47.6513,-122.386,1640,1563,503500
-3630120480,6/2/14,3,2.5,2290,3475,2,0,0,3,9,2290,0,2006,0,98029,47.5551,-122.001,2340,3626,653000
-624110050,6/4/14,4,2.75,3370,12447,2,0,0,3,10,3370,0,1991,0,98077,47.7309,-122.058,3700,13129,760000
-2301400655,11/25/14,4,1.75,2090,5050,1,0,0,4,7,1090,1000,1916,0,98117,47.6802,-122.358,1760,5000,775000
-7936500190,10/21/14,4,3.75,2130,34689,1.5,1,4,3,9,2130,0,1955,0,98136,47.5489,-122.398,3030,28598,1340000
-126039323,2/24/15,5,1.75,2060,10911,1,0,0,4,7,1360,700,1954,0,98177,47.7767,-122.365,2060,9688,417500
-9512500460,7/11/14,3,1.5,1560,9350,1,0,0,4,7,1220,340,1969,0,98052,47.6729,-122.148,1870,8671,525000
-7203601405,4/14/15,2,1,730,2400,1,0,1,3,4,730,0,1934,0,98198,47.35,-122.322,1220,4382,217000
-6204200170,7/9/14,4,2.75,2910,6308,1,0,0,3,8,1640,1270,1985,0,98011,47.7352,-122.201,1970,7127,525000
-5027800190,3/24/15,4,2.25,2490,8700,1,0,0,3,7,1890,600,1976,0,98155,47.7397,-122.324,1470,7975,442500
-2206500430,7/9/14,4,1.75,1710,10440,1,0,0,4,7,1710,0,1955,0,98006,47.5756,-122.158,1480,10440,525000
-9477001410,2/25/15,4,1.75,1520,10630,1,0,0,4,7,1520,0,1967,0,98034,47.7347,-122.193,1550,8039,425500
-2324079073,8/15/14,3,2.75,2930,218235,2,0,2,3,8,2930,0,1990,0,98024,47.5481,-121.886,2450,218235,710000
-2817210420,11/14/14,4,3,3160,10948,1,0,3,3,8,1930,1230,1991,0,98070,47.3733,-122.422,2380,13623,545000
-1402200440,2/12/15,5,2.75,2910,16410,1.5,0,0,4,8,2910,0,1967,0,98058,47.44,-122.145,1980,18000,410000
-1545808370,4/22/15,3,2.25,1700,8100,1,0,0,3,7,1200,500,1980,0,98038,47.3601,-122.046,1700,8100,245000
-7335400500,7/11/14,2,1,810,6697,1,0,0,4,6,810,0,1923,0,98002,47.3057,-122.216,1140,6695,194900
-1843130980,5/6/14,4,2.5,2000,5390,2,0,0,3,7,2000,0,2003,0,98042,47.3732,-122.129,2330,5390,284000
-9262800255,8/19/14,2,1.75,1894,52769,1.5,0,0,4,6,1520,374,1936,0,98001,47.3088,-122.273,1820,50529,280000
-8656800190,10/2/14,3,1.75,2080,87991,1,0,0,3,6,1040,1040,1970,0,98014,47.6724,-121.865,2080,84300,280000
-2113700235,5/12/14,4,2,1730,5500,1,0,0,5,7,1010,720,1943,0,98106,47.5304,-122.353,1080,4900,360000
-4235400255,9/5/14,2,1,720,4323,1,0,0,3,6,720,0,1942,0,98199,47.6604,-122.401,1460,3300,405000
-8691360380,4/14/15,4,2.5,3560,13981,2,0,0,3,10,3560,0,2000,0,98075,47.6002,-121.98,3840,13624,865000
-2205500080,6/10/14,4,2,1210,11100,1,0,0,4,7,1210,0,1955,0,98006,47.5747,-122.145,1280,11100,483300
-4137000250,3/18/15,4,2.5,2130,9268,2,0,0,4,8,2130,0,1985,0,98092,47.262,-122.22,2100,8400,355000
-2310010050,4/30/15,3,2.25,1570,8767,1,0,0,3,7,1180,390,1990,0,98038,47.3568,-122.038,1570,7434,274950
-1370802115,12/5/14,3,4.5,3950,6134,2,0,3,3,11,2880,1070,1998,0,98199,47.6413,-122.405,3050,5281,1930000
-6117900010,12/31/14,3,3.25,3450,15586,2,0,0,3,11,2690,760,1989,0,98166,47.4294,-122.343,3560,15046,755000
-2626069030,2/9/15,4,5.75,7220,223462,2,0,4,3,12,6220,1000,2000,0,98053,47.7097,-122.013,2680,7593,1940000
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-2944000050,4/22/15,4,3.25,3530,20012,2,0,0,3,11,3530,0,1986,0,98052,47.7193,-122.127,3850,20707,995000
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-2608300103,1/26/15,3,2.5,1020,2040,2,0,0,3,7,720,300,2004,0,98106,47.5294,-122.361,1060,1478,225000
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-6855100010,9/23/14,3,2.5,2400,9601,1,0,0,5,7,1390,1010,1977,0,98034,47.7256,-122.211,2010,9943,505000
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-6392001950,9/8/14,3,2.5,1470,3000,1,0,0,3,7,930,540,1985,0,98115,47.6832,-122.286,1470,5588,435000
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-2919702705,7/31/14,2,1,1330,5510,1,0,0,3,6,850,480,1910,0,98117,47.6901,-122.362,1200,4150,417500
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-3288301330,4/8/15,3,1.75,1890,7560,1,0,0,3,8,1430,460,1973,0,98034,47.7322,-122.185,1890,9095,475000
-2621700010,5/8/14,4,2.25,2250,41688,2,0,0,3,8,2250,0,1980,0,98053,47.6695,-122.05,2350,37920,569000
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-7937600380,2/17/15,4,2,1960,50112,1,0,0,4,7,1050,910,1963,0,98058,47.4353,-122.084,2340,44967,435000
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-2256500005,10/14/14,3,3,1740,3700,1,0,0,3,7,1740,0,1982,0,98122,47.6102,-122.309,1830,2480,612000
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-2571900380,1/22/15,3,2,1610,8400,1,0,0,3,8,1610,0,1990,0,98022,47.1958,-122.009,1930,8459,225000
-1026069120,5/8/14,2,3,3160,66646,2,0,0,3,7,3160,0,1993,0,98077,47.7479,-122.034,3140,38790,589900
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-1151100010,5/15/14,3,1,1330,20562,1.5,0,0,3,5,1330,0,1959,0,98045,47.4807,-121.775,1350,20562,280000
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-2419600005,7/9/14,3,1.75,1510,6360,1,0,0,4,7,1510,0,1954,0,98133,47.7321,-122.353,1480,7260,420000
-5727000010,12/15/14,4,2.5,2120,5293,2,0,0,3,7,2120,0,2003,0,98031,47.4217,-122.201,1990,5313,319990
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-4309710250,5/5/14,4,2.5,3180,21904,2,0,3,3,9,3180,0,2000,0,98059,47.515,-122.117,3715,29170,736500
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-1710400005,11/19/14,3,2,1770,1800,3,0,0,3,8,1770,0,1999,0,98122,47.6102,-122.314,1890,3200,690000
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-6624010170,5/8/14,3,1.75,1390,7399,1,0,0,4,7,1390,0,1975,0,98031,47.4183,-122.182,1460,7800,246000
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-3342100780,7/9/14,3,2.5,2600,5100,2,0,1,3,8,2600,0,1998,0,98056,47.5175,-122.205,2270,5400,583000
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-4047200380,5/26/14,2,1.5,2730,19877,1,0,0,4,8,1570,1160,1976,0,98019,47.7698,-121.898,1450,19509,460000
-3222049024,5/22/14,3,1,1100,4046,1.5,0,4,4,6,1100,0,1922,0,98198,47.344,-122.331,2550,7847,361000
-2287000010,7/10/14,3,2.25,1810,9845,1,0,0,4,8,1810,0,1959,1991,98040,47.5505,-122.221,1900,10083,713400
-3692900010,10/28/14,2,1,930,3150,1,0,0,5,6,930,0,1918,0,98115,47.6783,-122.298,1900,5000,445000
-320069049,5/14/14,4,1.5,1590,131551,1,0,3,4,7,1590,0,1966,0,98022,47.2558,-122.024,2280,108028,305000
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-8945100050,4/24/15,3,1,1460,8400,1,0,0,4,6,1460,0,1962,0,98023,47.3086,-122.365,1060,8563,222000
-7853250080,2/16/15,5,3.25,3400,4499,2,0,0,3,8,2740,660,2005,0,98065,47.5385,-121.88,3400,6163,510000
-6713700250,6/4/14,5,3,2920,11440,2,0,0,3,8,2920,0,2003,0,98133,47.7607,-122.354,1720,9348,500000
-4232901990,5/16/14,2,1,910,3600,1,0,0,4,7,910,0,1909,0,98119,47.6341,-122.361,1720,3600,605000
-3578401760,8/20/14,3,2,1320,10720,2,0,0,3,8,1320,0,1981,0,98074,47.6203,-122.037,1910,13639,393000
-9113200290,6/25/14,4,2.5,2490,5170,2,0,0,4,9,2490,0,2000,0,98052,47.6836,-122.162,2490,5170,725000
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-1099600010,6/12/14,4,1.5,1130,7840,1,0,0,4,7,1130,0,1970,0,98023,47.2986,-122.377,1690,7840,210000
-5416500980,7/29/14,4,2.5,2750,5767,2,0,0,3,9,2750,0,2005,0,98038,47.3595,-122.038,2800,5376,419900
-7312100010,3/2/15,4,2.5,2240,4447,2,0,0,3,7,2240,0,2006,0,98059,47.4868,-122.159,2000,3800,410000
-7936000562,12/16/14,3,2.25,2680,10440,1,0,1,3,8,1540,1140,1963,0,98116,47.561,-122.398,2140,7560,721000
-9839300545,7/14/14,2,2,1270,5500,1.5,0,0,4,8,1270,0,1921,0,98122,47.6121,-122.294,1870,4400,605000
-6837700005,12/3/14,3,1.75,1520,5500,1.5,0,0,5,7,1520,0,1936,0,98116,47.5839,-122.383,2310,5500,738000
-6918720080,4/2/15,6,3,2480,12000,2,0,0,3,8,2480,0,1972,0,98007,47.6131,-122.145,2220,8580,725000
-9407001700,8/19/14,2,1,960,20954,1,0,0,3,7,960,0,1977,0,98045,47.4485,-121.774,1240,9752,255000
-1473200130,3/20/15,3,2.25,1340,873,3,0,0,3,8,1340,0,2009,0,98133,47.7325,-122.343,1340,1186,303000
-4037200585,7/23/14,3,2.5,1090,7700,1,0,0,4,7,1090,0,1957,0,98008,47.607,-122.12,1740,7700,394950
-5249803870,9/2/14,4,3,2240,5580,2,0,0,5,7,1830,410,1949,0,98118,47.5598,-122.27,1530,4800,530000
-9558050170,5/13/14,4,2.5,3740,8700,1,0,0,3,10,2260,1480,2004,0,98058,47.4587,-122.117,2650,6333,475000
-1545808110,6/17/14,4,2.5,1800,8100,2,0,0,3,7,1800,0,1998,0,98038,47.3611,-122.047,1590,8100,250000
-1604601155,12/8/14,3,1,780,3540,1,0,0,2,6,780,0,1920,0,98118,47.565,-122.291,1260,3540,180000
-2754700170,8/4/14,2,1,1330,4140,1,0,0,4,7,930,400,1919,1940,98115,47.6802,-122.306,1410,5100,443500
-3622059180,7/3/14,4,2,1900,76877,1,0,0,3,8,1900,0,2004,0,98042,47.3491,-122.113,1740,34848,390000
-7201600190,2/20/15,4,1.75,1570,7650,1,0,0,3,7,1100,470,1975,0,98052,47.6801,-122.106,1580,7650,430000
-3450300280,2/25/15,5,4.5,3100,7260,2,0,0,3,8,3100,0,1963,2000,98059,47.5004,-122.162,1650,7700,460000
-1036450170,3/12/15,3,3.5,2740,3785,2,0,0,3,9,2190,550,2001,0,98034,47.7195,-122.182,2060,3457,660000
-8965000050,7/29/14,3,1.75,1570,10939,1,0,0,3,8,1200,370,1974,0,98052,47.6389,-122.102,1760,10200,515000
-4354700010,4/21/15,3,2,1330,6490,1,0,0,4,7,1330,0,1954,0,98125,47.7181,-122.308,1580,7202,482500
-4057300170,6/2/14,2,1.5,1140,2980,2,0,0,3,7,1140,0,1988,0,98029,47.5707,-122.018,1150,2981,305000
-4217400185,6/3/14,4,2.75,1550,4000,1.5,0,0,3,9,1550,0,1930,0,98105,47.6596,-122.28,2120,4000,835000
-8155750010,12/4/14,3,2,1290,7952,1,0,0,3,7,1290,0,1998,0,98030,47.3867,-122.19,1670,7280,237000
-2159900020,11/26/14,2,1.5,1510,2001,2,0,0,4,8,1510,0,1985,0,98007,47.6211,-122.153,1510,2055,445000
-2487700130,4/6/15,4,2.5,2720,8000,1,0,0,4,7,1360,1360,1955,0,98136,47.5237,-122.391,1790,8000,710000
-2085200545,8/21/14,3,1,840,5700,1,0,0,4,5,840,0,1945,0,98038,47.3948,-122.028,1430,12600,180000
-9432900380,10/23/14,3,2.5,1850,8770,2,0,0,3,8,1850,0,1996,0,98022,47.2091,-122.009,2350,8606,280017
-2591850080,6/30/14,4,2.5,2290,11173,2,0,0,4,8,2290,0,1988,0,98058,47.4314,-122.164,2290,10404,436500
-1025049174,5/15/14,4,2.5,3200,7535,2,0,0,3,9,3200,0,2006,0,98105,47.666,-122.276,1650,6850,1260000
-5628400080,12/18/14,3,2.25,1800,9800,1,0,0,4,7,1300,500,1959,0,98028,47.7393,-122.244,1680,9545,420000
-7657000225,7/19/14,3,1,860,7467,1,0,0,3,6,860,0,1944,0,98178,47.4947,-122.237,1280,7467,205000
-6151800080,9/2/14,3,1.5,1980,10203,1,0,0,4,7,1680,300,1946,0,98010,47.3402,-122.046,1980,13664,570000
-6154900095,7/11/14,4,1.75,2140,7102,1,0,0,4,7,1070,1070,1948,0,98177,47.7042,-122.37,1950,7102,565000
-9542800050,12/11/14,2,2.5,2410,7500,1,0,0,3,7,1550,860,1978,0,98023,47.3078,-122.374,1840,8800,287000
-526059224,9/23/14,4,1.75,1650,7276,1,0,0,3,7,1010,640,1977,0,98011,47.7721,-122.206,1840,8550,260000
-526059224,2/6/15,4,1.75,1650,7276,1,0,0,3,7,1010,640,1977,0,98011,47.7721,-122.206,1840,8550,470000
-3275850190,9/5/14,3,2.5,2410,9916,2,0,0,4,10,2410,0,1989,0,98052,47.6911,-122.103,2310,8212,700000
-4137000460,2/25/15,3,1.75,1520,7500,1,0,0,3,8,1520,0,1985,0,98092,47.2646,-122.219,2180,7506,249000
-7936000403,6/9/14,3,1.75,2050,3520,1,0,0,4,7,1070,980,1977,0,98136,47.5536,-122.399,2050,16083,568000
-1175000073,6/6/14,4,1,1720,4011,1.5,0,0,4,7,1720,0,1904,0,98107,47.6719,-122.396,1580,3784,500000
-8645540290,11/26/14,5,2.5,2390,8775,1,0,0,4,7,1270,1120,1980,0,98058,47.4639,-122.17,1800,8000,358000
-7137960460,5/28/14,3,2.5,1680,6755,2,0,0,3,8,1680,0,1994,0,98092,47.3293,-122.17,1860,7257,225000
-8805400010,2/26/15,3,1,1060,7246,1,0,0,4,6,1060,0,1981,0,98056,47.4936,-122.165,1090,6694,275500
-1036450290,2/2/15,3,2.5,1860,3150,2,0,0,3,8,1860,0,2001,0,98034,47.719,-122.182,2050,3375,495000
-7613700660,3/26/15,5,2.25,1750,5000,1,0,0,3,8,960,790,1940,0,98105,47.6589,-122.276,2580,5000,758800
-8648210050,4/3/15,3,1.75,1480,8165,1,0,0,4,7,1480,0,1985,0,98042,47.3624,-122.079,1450,7939,280000
-1565950670,2/25/15,3,2.5,1900,7361,2,0,0,3,8,1900,0,1994,0,98055,47.4324,-122.191,2100,7361,380500
-7159200005,5/7/14,7,4.5,6210,8856,2.5,0,2,5,11,4760,1450,1910,0,98109,47.6307,-122.354,2940,5400,3200000
-8687800010,6/17/14,3,1.75,1440,12888,1,0,2,3,7,1090,350,1958,0,98168,47.471,-122.262,1710,12888,260000
-4242900285,8/5/14,4,2.5,1910,1502,3,0,0,3,8,1910,0,2014,0,98107,47.6747,-122.393,1520,3888,630000
-7834800225,8/20/14,3,2,2010,4000,1,0,0,5,7,1210,800,1915,0,98103,47.6638,-122.329,1770,4000,875000
-5649600225,4/3/15,3,1,960,4600,1.5,0,0,4,6,960,0,1927,0,98118,47.5553,-122.286,1380,5175,457500
-1959702045,11/19/14,2,1,1240,5500,1,0,0,3,7,1240,0,1954,0,98102,47.6461,-122.317,2080,4400,900000
-717000225,10/28/14,2,2,870,6450,1,0,0,4,6,740,130,1954,0,98118,47.5354,-122.278,1640,5775,235000
-792500190,6/27/14,3,2,1400,45738,2,0,0,4,8,1400,0,1981,0,98070,47.3624,-122.455,2390,56628,410000
-3820100284,8/27/14,3,3,1850,9600,1,0,0,3,7,1230,620,1981,0,98028,47.7717,-122.25,1970,10000,355000
-3629890190,6/6/14,4,4,4270,6002,2,0,3,3,10,3180,1090,2004,0,98029,47.5443,-121.994,4280,5942,1300000
-6868200029,9/29/14,3,1.75,2260,8512,1,0,0,3,7,1130,1130,1948,0,98125,47.7129,-122.304,2240,8040,467500
-8901000143,11/25/14,4,4.5,2690,7350,1.5,0,0,5,7,2690,0,1949,0,98125,47.7062,-122.311,1660,9000,500000
-2927600630,4/16/15,4,3.5,2780,9550,2,0,4,5,10,2530,250,1978,0,98166,47.454,-122.373,2724,10634,995000
-3432501315,8/27/14,3,1,1140,8144,1,0,0,3,7,1140,0,1956,0,98155,47.7464,-122.317,1150,8144,277000
-5101407250,12/17/14,4,2.25,2900,9680,2,0,0,3,7,1990,910,1947,0,98125,47.7037,-122.308,1850,7540,630000
-3999200780,11/21/14,5,2.75,2830,11795,1,0,0,4,7,1710,1120,1960,0,98008,47.5828,-122.118,2460,10880,628000
-2826079145,8/14/14,5,2.5,2560,46786,2,0,0,3,8,2560,0,1995,0,98019,47.7125,-121.915,2430,46929,655000
-1446403145,1/22/15,2,1,1240,9900,1,0,0,3,7,940,300,1950,0,98168,47.4862,-122.326,1050,9375,170000
-5137000170,12/17/14,4,2.5,2100,10750,1,0,2,4,8,2100,0,1967,0,98023,47.3338,-122.337,2310,10425,352500
-2896310420,2/19/15,4,2.75,3120,34040,2,0,0,3,9,3120,0,1997,0,98010,47.3431,-122.03,2420,25201,615000
-1446400725,6/10/14,3,1,970,6600,1,0,0,3,7,970,0,1965,0,98168,47.4836,-122.332,1200,6600,165000
-4030500130,9/23/14,4,2.5,2300,15188,2,0,0,4,7,2300,0,1966,0,98042,47.3683,-122.164,1820,10125,243500
-3319500299,8/6/14,2,1.5,950,676,2,0,0,3,7,850,100,2003,0,98144,47.6005,-122.306,950,1280,304000
-7139800020,10/16/14,3,1.5,2110,5195,1,0,0,3,7,1210,900,1959,0,98118,47.5283,-122.286,1950,5195,369000
-9433000460,10/7/14,4,2.75,2990,4298,2,0,0,3,9,2990,0,2014,0,98052,47.7101,-122.108,2990,4837,779950
-1326049130,7/2/14,4,2.25,2940,48788,1,0,0,5,7,1520,1420,1961,0,98028,47.7422,-122.245,2470,14900,605000
-7137960440,12/23/14,4,2.5,1860,8709,2,0,0,3,8,1860,0,1994,0,98092,47.3289,-122.17,1990,6825,292500
-3946900010,3/23/15,2,1.75,1820,6050,1,0,0,3,7,910,910,1950,0,98115,47.6928,-122.323,1730,6050,500007
-5592050080,4/29/15,4,2.5,1950,4947,2,0,0,3,8,1950,0,2000,0,98056,47.5042,-122.193,1760,5611,449999
-3288020050,6/27/14,4,2.5,1890,7867,2,0,0,3,8,1890,0,1996,0,98038,47.3788,-122.031,2250,7867,355000
-2459000020,11/25/14,4,3,2710,7199,1,0,0,4,7,1710,1000,1967,0,98030,47.3789,-122.213,2070,9271,258000
-126049167,6/19/14,4,2.25,2150,20181,1,0,0,3,7,1090,1060,1963,0,98028,47.7627,-122.245,2150,10480,380000
-1525079069,7/8/14,4,3,3720,57499,1,0,0,3,9,1880,1840,2003,0,98014,47.6469,-121.897,2560,26372,650000
-1786200010,5/14/15,4,2.5,2580,11780,2,0,0,3,9,2580,0,2003,0,98038,47.3658,-122.04,2410,8403,456500
-5602000275,8/25/14,4,2,1540,10212,1.5,0,0,5,7,1540,0,1948,0,98022,47.2056,-121.999,1480,10212,259950
-1446403617,7/2/14,2,1,1050,6600,1.5,0,0,3,6,1050,0,1964,0,98168,47.4828,-122.324,1330,6600,123000
-2767603649,7/30/14,3,2.25,1210,1250,3,0,0,3,8,1210,0,2014,0,98107,47.6722,-122.384,1780,5000,520000
-3649100387,4/16/15,4,2.25,2040,12000,1,0,0,4,7,1300,740,1963,0,98028,47.7362,-122.241,1930,12000,506000
-5249802660,7/30/14,3,1,980,4800,1.5,0,0,3,7,980,0,1926,0,98118,47.5663,-122.274,2030,7200,425000
-2592400470,12/5/14,5,2.5,1990,6840,2,0,0,4,7,1990,0,1974,0,98034,47.7162,-122.166,1990,7150,438000
-6448000020,1/29/15,4,2.5,2420,18480,1,0,0,4,9,2420,0,1967,0,98004,47.6214,-122.227,3330,19910,1490000
-1211000185,6/16/14,4,2,1240,3000,1,0,0,3,7,1040,200,1908,0,98122,47.6076,-122.298,1480,3500,375000
-7399300780,4/29/15,3,2.25,1530,6600,1,0,0,4,7,1240,290,1968,0,98055,47.462,-122.188,1500,7700,337500
-984100010,9/30/14,4,2.25,2080,7700,1,0,0,3,7,1450,630,1968,0,98058,47.4349,-122.17,1900,7980,300000
-6127010670,7/28/14,5,3.25,3570,5425,2,0,0,3,7,3570,0,2005,0,98075,47.5933,-122.007,2690,5347,627000
-1245002391,10/22/14,5,4.25,4230,6907,2,0,0,3,10,3450,780,2008,0,98033,47.6866,-122.205,2650,8076,1400000
-3904921100,5/12/15,4,2.5,2700,10160,2,0,0,3,9,2700,0,1988,0,98029,47.5685,-122.012,2760,9219,674725
-2473381150,6/18/14,3,2.75,2200,7000,1,0,0,4,7,1280,920,1977,0,98058,47.4574,-122.169,1670,7000,325000
-9269750010,4/2/15,5,2,1210,12538,2,0,0,3,7,1210,0,1982,0,98023,47.2848,-122.361,1510,7700,230000
-1924069071,7/29/14,5,1.75,2140,43124,1,0,2,4,7,1220,920,1962,0,98027,47.5516,-122.085,2520,14677,485000
-2571900430,9/23/14,4,2.5,2740,8400,1.5,0,2,3,8,2740,0,1993,0,98022,47.1947,-122.008,2030,8638,315000
-8673400052,4/3/15,3,2.75,1370,1193,3,0,0,3,8,1370,0,2003,0,98107,47.67,-122.392,1320,1180,560000
-5104511630,8/12/14,4,3,2800,7198,2,0,0,3,8,2800,0,2002,0,98038,47.3538,-122.013,3610,7845,444000
-3438500168,5/7/15,3,1.5,1060,7488,1,0,0,5,7,1060,0,1977,0,98106,47.5549,-122.356,1300,6780,325000
-1446403850,9/16/14,2,1,790,7153,1,0,0,4,6,790,0,1944,0,98168,47.4869,-122.324,810,7128,118125
-1446403850,1/14/15,2,1,790,7153,1,0,0,4,6,790,0,1944,0,98168,47.4869,-122.324,810,7128,212000
-5416500950,3/9/15,4,2.5,2820,5056,2,0,0,3,9,2820,0,2006,0,98038,47.3591,-122.038,2820,5150,428900
-8096600050,1/23/15,3,2,1850,9600,1,0,0,3,7,1850,0,1968,1998,98011,47.7671,-122.225,1770,9600,510000
-1473000020,5/23/14,3,1.5,1110,9762,1,0,0,4,7,1110,0,1963,0,98052,47.676,-122.15,1900,9720,416000
-722039049,10/9/14,4,3,3230,438213,2,0,0,3,9,3230,0,1999,0,98070,47.4141,-122.47,1600,144619,950000
-2212210660,2/27/15,3,1.5,1460,7140,1,0,0,4,7,980,480,1980,0,98031,47.3954,-122.191,1400,8572,204000
-6762700020,10/13/14,6,8,12050,27600,2.5,0,3,4,13,8570,3480,1910,1987,98102,47.6298,-122.323,3940,8800,7700000
-5608010980,10/7/14,4,2.5,3480,13421,2,0,0,3,11,3480,0,1995,0,98027,47.5504,-122.097,3290,9642,878000
-5015001045,8/26/14,4,3,3560,4000,3,0,2,3,9,2970,590,1996,0,98112,47.6265,-122.3,1190,4000,1050000
-1005000250,1/30/15,2,1,840,5551,1,0,0,3,6,840,0,1952,0,98118,47.5354,-122.28,1270,4652,350000
-7974700122,6/10/14,3,1.75,1820,5500,1,0,0,4,8,1620,200,1957,0,98115,47.6737,-122.283,2330,6050,659500
-1775910460,3/13/15,3,2.5,1630,15200,1,0,0,3,7,1120,510,1988,0,98072,47.7454,-122.103,2050,15200,395000
-3797300190,7/8/14,4,2.5,1920,8562,2,0,2,4,7,1920,0,1994,0,98022,47.1932,-122.008,1820,8628,308950
-6450300605,5/1/15,3,2,1750,2550,1,0,0,3,7,1750,0,1955,0,98133,47.7329,-122.343,1370,1533,410000
-3918400143,10/16/14,4,3,2750,7500,1,0,0,5,8,1630,1120,1966,0,98177,47.7134,-122.361,2440,7500,710000
-1022049182,4/28/15,1,1,620,8685,1,0,0,4,5,620,0,1976,0,98198,47.4095,-122.29,1300,12150,175000
-3578400780,3/27/15,3,2,1720,10098,1,0,0,4,8,1140,580,1981,0,98074,47.6231,-122.043,1840,10098,508800
-6905200050,10/9/14,3,3,1800,5000,1.5,0,2,3,8,1500,300,1929,0,98119,47.6475,-122.371,1670,5000,606400
-303100080,5/28/14,3,1.75,1300,7958,1,0,0,3,7,1300,0,1996,0,98092,47.3162,-122.194,1640,8698,245100
-123039642,5/1/15,3,2.5,1970,14876,1,0,0,3,7,1320,650,1981,0,98146,47.5031,-122.372,2030,8008,540000
-8718500095,5/7/15,3,1.5,1740,9046,1,0,0,3,7,1740,0,1956,0,98028,47.7402,-122.255,1830,9513,415000
-1774000780,1/5/15,4,2.75,1930,13041,1,0,0,4,8,1180,750,1980,0,98072,47.7502,-122.085,1880,10234,469500
-2421039075,11/6/14,3,1.75,1190,14777,1,0,0,4,7,1190,0,1965,0,98023,47.2933,-122.377,2240,8325,195000
-4139470010,10/6/14,4,3.25,4250,12281,2,0,4,3,12,3020,1230,1996,0,98006,47.5507,-122.113,4940,12941,1620000
-629800380,10/13/14,4,3.5,4360,24603,2,0,0,3,12,4360,0,1998,0,98074,47.6035,-122.005,4770,27521,1450000
-8965520190,10/30/14,3,2.5,3420,16622,1,0,4,3,10,2410,1010,1991,0,98006,47.5638,-122.105,3460,14566,1200000
-925059193,7/9/14,4,3.75,4260,9800,2,0,0,3,10,4260,0,2008,0,98033,47.6739,-122.172,1950,8970,1070000
-1245500250,5/7/15,2,1,920,10000,1,0,0,4,7,920,0,1981,0,98033,47.6938,-122.21,1340,10000,555500
-9828700005,5/12/15,3,1,1040,4000,1,0,0,3,7,1040,0,1950,0,98122,47.6178,-122.292,1170,4000,440000
-5101402312,4/23/15,3,1,1260,7250,1,0,2,3,7,960,300,1940,0,98115,47.6947,-122.311,1540,7250,485000
-339200130,5/31/14,3,2.5,2460,12028,2,0,0,3,9,2460,0,1996,0,98052,47.691,-122.095,2540,12229,693000
-6145602125,7/24/14,3,1,830,3386,1,0,0,3,6,830,0,1942,1989,98133,47.7027,-122.355,1300,3844,295000
-9346910500,3/30/15,3,2.5,2060,10650,1,0,0,5,8,1050,1010,1976,0,98006,47.5627,-122.137,2690,8850,700000
-7986401305,12/16/14,2,1.75,2210,9374,1,0,3,4,8,1560,650,1951,0,98107,47.6634,-122.359,2140,5640,767500
-922059169,12/1/14,6,4.25,5480,189050,2,0,0,4,10,5140,340,1991,0,98031,47.412,-122.168,2470,10429,800000
-123059071,7/8/14,3,2,1860,217800,2,0,2,3,8,1860,0,1998,0,98059,47.5157,-122.107,2500,217800,440000
-1626069069,10/29/14,3,2.5,1350,187313,1,0,0,4,7,1350,0,1997,0,98077,47.7369,-122.049,2310,49222,600000
-5605000430,9/17/14,4,2.5,2790,5450,2,0,0,3,10,1930,860,1925,2000,98112,47.6453,-122.303,2320,5450,1160000
-7640400250,6/19/14,2,1,1570,8210,1,0,0,4,8,1150,420,1952,0,98177,47.7221,-122.371,1680,8196,506000
-4477000290,3/11/15,4,1.75,2030,15400,1,0,1,3,9,1130,900,1975,0,98166,47.4603,-122.365,2040,12425,474950
-8127700440,12/11/14,3,2.5,2570,5500,1,0,0,4,7,1320,1250,1961,0,98199,47.6417,-122.397,1460,6250,654000
-6822100780,9/11/14,2,1,1210,6000,1,0,0,4,7,1000,210,1942,0,98199,47.6482,-122.402,1840,6000,710000
-9195700380,8/11/14,4,2.25,1530,7845,1,0,0,4,7,1030,500,1981,0,98027,47.5589,-122.082,1710,7627,620000
-1425059174,10/28/14,3,2,1510,10827,2,0,0,3,7,1510,0,1984,0,98052,47.654,-122.127,1900,10908,390000
-2155000290,6/30/14,3,2.25,1720,9600,1,0,0,4,7,1220,500,1967,0,98052,47.6581,-122.126,1720,9600,550000
-4058200630,10/2/14,3,1.75,2190,7021,1,0,2,4,7,1390,800,1953,0,98178,47.5033,-122.232,2180,7155,353000
-5561400440,8/27/14,4,2.5,3030,47958,1,0,0,3,8,1660,1370,1980,0,98027,47.4598,-122.004,2740,36017,465000
-4178500440,1/28/15,3,2,1410,6600,1,0,0,4,7,1410,0,1990,0,98042,47.3596,-122.089,1750,7150,279900
-1923039022,11/20/14,2,1.75,1679,577605,2,0,0,3,9,1679,0,2001,0,98070,47.463,-122.475,1850,358934,700000
-9412200660,6/19/14,4,1,1980,10350,1,0,0,4,7,1430,550,1968,0,98027,47.5226,-122.045,1890,13140,395000
-2780700020,9/10/14,4,2.5,1900,9428,2,0,0,3,8,1900,0,1978,0,98028,47.7628,-122.244,1830,10480,375000
-1868901815,6/17/14,4,1,1720,2800,1.5,0,0,4,7,1200,520,1926,0,98115,47.6743,-122.299,1530,3500,547000
-4022902715,4/3/15,5,3.25,2480,10277,2,0,0,5,8,1640,840,1993,0,98155,47.7726,-122.286,2270,10277,525000
-225039145,6/19/14,3,1,1210,4731,1.5,0,0,3,7,1210,0,1901,0,98117,47.6865,-122.397,1450,5264,285000
-9274203390,5/20/14,2,1.75,1540,4025,1,0,0,4,7,1190,350,1908,0,98116,47.5876,-122.391,1950,4420,570000
-4397000020,3/24/15,3,2.5,2740,9168,2,0,0,3,9,2740,0,1991,0,98042,47.3835,-122.148,2690,10554,409000
-9415950020,6/8/14,4,2.5,1811,4381,2,0,0,3,8,1811,0,2007,0,98055,47.454,-122.19,1811,4150,260000
-2591830020,9/16/14,4,2.5,2720,7697,1,0,0,4,8,2120,600,1987,0,98058,47.4391,-122.161,2340,7700,348000
-3211200460,8/6/14,4,1,1520,9800,1.5,0,0,4,7,1520,0,1971,0,98034,47.7303,-122.236,1540,7700,389000
-2297400250,12/17/14,4,2.75,2160,7200,1,0,0,4,7,1220,940,1976,0,98034,47.7177,-122.224,1790,7614,445000
-9268200440,7/21/14,3,1.75,1390,4602,1,0,0,3,7,930,460,1981,0,98117,47.6944,-122.366,1230,4800,400000
-255580190,9/15/14,4,2.5,1740,7895,2,0,0,3,7,1740,0,1999,0,98001,47.3401,-122.282,1720,6813,302000
-6352600680,10/21/14,3,2.5,2849,9588,2,0,0,3,10,2849,0,2001,0,98074,47.6487,-122.079,3190,8897,798000
-1829700050,7/24/14,2,1,1440,8842,1,0,0,3,7,840,600,1950,0,98155,47.7443,-122.325,1650,8461,335000
-7859960250,1/7/15,4,2.5,3000,6892,2,0,0,3,8,3000,0,2005,0,98072,47.7623,-122.165,3000,6589,585000
-6072800170,4/28/15,4,4,3330,24354,1,0,0,4,10,3330,0,1961,0,98006,47.5708,-122.192,3880,25493,2500000
-6373000130,12/1/14,4,2.25,1720,2300,1,0,0,3,7,860,860,1940,2014,98116,47.5762,-122.412,1720,4680,555000
-4131900066,8/25/14,3,3,3920,13085,2,1,4,4,11,3920,0,1996,0,98040,47.5716,-122.204,3450,13287,3100000
-8965450190,2/18/15,3,2.5,1500,3060,2,0,0,3,7,1500,0,1994,0,98006,47.5605,-122.117,2700,7734,295000
-1311200460,6/18/14,4,1.5,2050,7100,1,0,0,3,7,1050,1000,1963,0,98001,47.3395,-122.28,1950,7350,265000
-3764800250,1/5/15,4,2,1180,7275,1,0,0,3,7,1180,0,1965,0,98034,47.7301,-122.2,1210,7275,330000
-6607000095,2/18/15,4,1.5,1600,5750,2,0,0,4,6,1600,0,1902,0,98118,47.5437,-122.28,1690,5750,286000
-4358700188,3/31/15,3,2.5,1260,895,3,0,0,3,7,1160,100,2009,0,98133,47.7072,-122.336,1190,1095,305000
-5101403915,4/3/15,2,1,1290,5376,1,0,0,3,6,1290,0,1945,0,98115,47.6966,-122.315,1180,5376,970000
-7844200425,4/14/15,4,2,2680,14157,1,0,0,3,8,1460,1220,1966,0,98188,47.4286,-122.292,2100,9199,525000
-9407001330,12/2/14,3,1.75,2370,9750,1,0,0,4,7,1280,1090,1979,0,98045,47.4459,-121.773,1230,9775,355000
-7905370440,10/10/14,5,2.5,2310,8303,1,0,0,3,7,1300,1010,1975,0,98034,47.7212,-122.211,1930,8303,469950
-2202500290,5/2/14,4,1,1450,8800,1,0,0,4,7,1450,0,1954,0,98006,47.5746,-122.135,1260,8942,435000
-3374500250,9/22/14,4,2.5,2680,7700,2,0,0,4,8,2680,0,1990,0,98031,47.4094,-122.17,2400,7700,363500
-5244800895,5/23/14,2,1.5,1030,4500,1,0,0,3,7,830,200,1924,0,98109,47.6455,-122.352,1250,4000,595000
-100100050,11/12/14,3,1,1320,11090,1,0,0,3,7,1320,0,1955,0,98155,47.7748,-122.304,1320,8319,275000
-7454001060,4/8/15,2,1,670,7952,1,0,0,4,6,670,0,1942,0,98146,47.5124,-122.372,1080,9525,295000
-7215400280,1/16/15,3,2.25,2670,37089,2,0,0,3,9,2670,0,1990,0,98042,47.3347,-122.077,2290,36284,345000
-203101330,7/1/14,3,2.25,2440,47916,2,0,0,3,8,2090,350,1991,0,98053,47.6347,-121.958,2150,24000,485000
-2450000290,12/15/14,5,2.5,3370,8113,2,0,0,3,9,3370,0,2005,0,98004,47.5812,-122.196,2470,8113,1250000
-5101402472,1/29/15,2,1,940,5413,1,0,0,3,7,940,0,1923,0,98115,47.6956,-122.304,1340,5296,340500
-4310700020,10/10/14,3,1,1100,5132,1,0,0,3,6,840,260,1948,0,98103,47.7011,-122.336,1280,5132,280000
-7967600285,12/11/14,3,2.25,2520,78408,2,0,0,3,9,2520,0,1988,0,98001,47.3514,-122.279,1490,29972,449888
-7905200381,10/28/14,2,1.75,1400,4720,1,0,0,4,7,820,580,1927,0,98116,47.5705,-122.392,1330,6786,483000
-3992700585,11/20/14,3,1.75,1880,9360,1,0,0,4,7,940,940,1941,0,98125,47.7131,-122.283,1390,7200,445500
-7972601950,6/17/14,5,3.5,2800,7350,2,0,0,3,7,2800,0,1995,0,98106,47.5273,-122.345,2190,7620,379900
-6870310010,7/2/14,4,3.5,2500,3080,2,0,0,3,8,1810,690,2008,0,98052,47.6749,-122.14,2060,3295,599950
-2970800130,10/9/14,3,1,810,5240,1,0,0,3,6,810,0,1942,0,98166,47.4734,-122.35,1700,5245,215000
-6084600660,7/18/14,3,2.5,1720,6847,2,0,0,3,7,1720,0,1987,0,98001,47.3266,-122.272,1610,7790,263000
-325059126,2/9/15,4,1,2170,12100,1,0,0,5,7,2170,0,1961,0,98033,47.6893,-122.164,1270,12844,565000
-526069024,5/12/14,5,3,4530,258746,1.5,0,0,4,9,3200,1330,2003,0,98077,47.7702,-122.066,3430,83199,950000
-6163901261,9/9/14,4,1,1440,8320,1.5,0,0,3,7,1440,0,1946,0,98155,47.7529,-122.318,1440,9230,395000
-4289900005,12/30/14,4,3.25,2850,4100,2,0,3,3,10,1820,1030,1908,2003,98122,47.6147,-122.285,2130,4200,1540000
-2818100255,10/29/14,4,2.5,2620,14126,1,0,4,4,8,1620,1000,1941,0,98117,47.6983,-122.397,2620,8905,922000
-1389310130,12/12/14,3,2.5,1676,18778,2,0,0,3,7,1676,0,1997,0,98014,47.6521,-121.905,1410,18778,330000
-4139910250,2/10/15,4,3.75,5850,35070,2,0,0,4,12,4410,1440,1990,0,98006,47.5485,-122.124,4830,36200,1530000
-5416100020,12/9/14,3,1.75,1910,8329,1,0,0,3,8,1910,0,2004,0,98022,47.19,-122.016,2510,9259,323000
-8682261650,7/10/14,2,2,1670,4996,1,0,0,3,8,1670,0,2004,0,98053,47.7141,-122.031,1670,4996,554000
-8100400170,4/10/15,3,2,2050,11454,1,0,0,3,8,2050,0,1987,0,98052,47.6389,-122.11,1980,11424,500000
-1604590190,5/13/15,5,3.5,3730,16679,1,0,0,3,10,2760,970,1990,0,98075,47.5987,-122.029,3280,16679,775000
-6882510020,7/15/14,4,1.75,1800,5210,1,0,0,5,7,1080,720,1979,0,98118,47.5298,-122.28,1870,5365,340000
-3459800020,4/6/15,4,1.75,2230,6838,1,0,0,3,7,1320,910,1985,0,98008,47.5742,-122.118,1580,7500,560000
-5437600010,4/6/15,3,2.5,1670,5298,2,0,0,3,8,1670,0,2002,0,98042,47.3925,-122.165,1920,5298,304000
-1395500020,11/7/14,3,1,1400,10800,1,0,0,3,6,1400,0,1962,0,98034,47.719,-122.202,1430,10000,279900
-807800020,3/4/15,5,3,2110,10766,2,0,0,3,7,2110,0,2005,0,98030,47.3599,-122.176,1460,10400,315000
-1563102880,6/21/14,4,2,2160,6300,1.5,0,1,4,8,2160,0,1928,0,98116,47.5662,-122.404,1980,5152,849000
-8937500020,2/10/15,3,1.75,2420,14862,1,0,0,3,8,1380,1040,1977,0,98023,47.3301,-122.365,2550,14675,325000
-629420480,9/26/14,4,3.5,3320,8808,2,0,0,3,9,3320,0,2005,0,98075,47.592,-121.989,3160,9226,786000
-8961950250,9/15/14,5,2.75,3220,8160,2,0,0,3,9,3220,0,1999,0,98001,47.3154,-122.254,2876,11521,384000
-4217400420,11/24/14,3,1.5,1340,6000,1.5,0,1,3,9,1340,0,1927,0,98105,47.66,-122.282,2600,6000,907000
-3121500020,7/2/14,3,2.5,2490,23891,2,0,0,3,9,2490,0,1993,0,98053,47.6716,-122.029,2900,34705,700000
-2025700430,8/26/14,3,2,1640,8395,1,0,0,4,7,1640,0,1991,0,98038,47.348,-122.035,1510,7180,269500
-739800250,2/22/15,3,2.25,1420,7297,1,0,0,3,7,1130,290,1984,0,98031,47.4046,-122.194,1730,7419,269000
-8647600020,11/11/14,4,2.5,3340,123600,2,0,0,3,10,3340,0,2005,0,98053,47.6101,-121.955,3730,123600,749950
-1518000290,3/16/15,3,2.75,1580,4007,2,0,0,3,7,1580,0,2001,0,98019,47.7367,-121.969,1770,3799,325000
-8917100020,6/6/14,3,1.5,2170,16600,1,1,2,3,10,1130,1040,1979,0,98052,47.6307,-122.088,3130,13875,1150000
-3205100010,12/16/14,3,1.5,1370,7853,1,0,0,4,7,1370,0,1962,0,98056,47.5409,-122.18,1730,9465,406000
-2405500050,6/6/14,4,2.5,2840,9354,2,0,0,3,10,2840,0,1990,0,98074,47.6274,-122.04,2540,10200,650000
-7823700005,7/7/14,3,1.75,1940,7500,1.5,0,0,4,8,1940,0,1918,1985,98022,47.2062,-121.993,1650,7500,295000
-8642600170,10/9/14,4,2,1757,19370,1,0,2,5,7,1757,0,1955,0,98198,47.3974,-122.312,1850,11125,375000
-7518502960,2/27/15,2,1,980,5100,1,0,0,4,6,980,0,1907,0,98117,47.6824,-122.38,1190,5100,395000
-4279600080,12/31/14,6,3,2470,9267,2,0,0,3,8,2470,0,1982,0,98007,47.6025,-122.152,2470,9151,609000
-6421100592,9/10/14,3,1.75,1610,11950,1,0,2,3,7,1210,400,1984,0,98052,47.6705,-122.138,1610,9363,510000
-7967200290,5/30/14,3,2.25,1590,11745,1,0,0,3,7,1090,500,1978,0,98001,47.3553,-122.28,1540,12530,190000
-7228501903,8/5/14,1,1,780,1033,1,0,0,3,7,780,0,1922,1985,98122,47.6155,-122.306,1040,1319,250000
-9275200080,11/7/14,3,1.5,720,7450,1,0,1,1,5,720,0,1924,0,98126,47.584,-122.375,2600,7360,295000
-8825900095,4/21/15,3,1.5,1630,4080,1.5,0,0,4,8,1630,0,1927,0,98115,47.6756,-122.308,1950,4080,740000
-7849201100,2/17/15,3,1,1590,7759,2,0,0,4,7,1590,0,1912,1984,98065,47.5217,-121.819,1600,7200,323000
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-1339300025,6/2/14,4,1.5,1840,4337,2,0,0,4,8,1840,0,1917,0,98112,47.6312,-122.307,2250,4337,809000
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-1323059143,4/23/15,4,4.5,5250,48352,2,0,0,3,10,5250,0,1998,0,98059,47.4858,-122.111,2500,48352,915000
-2131701020,3/11/15,3,1.5,1390,8300,1,0,0,4,7,1390,0,1974,0,98019,47.7383,-121.983,1470,7500,317000
-3438503045,1/20/15,2,1,780,6380,1,0,0,3,6,780,0,1947,0,98106,47.5423,-122.351,1270,6960,165000
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-7941600220,6/10/14,3,1,970,7742,1,0,0,4,6,970,0,1967,0,98003,47.3173,-122.327,970,7650,219900
-3885805175,10/1/14,4,3.25,3730,7200,2,0,0,3,10,2810,920,2006,0,98033,47.6824,-122.199,2490,7200,1490000
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-5104540330,5/8/15,4,2.5,3680,7236,2,0,0,3,10,3680,0,2006,0,98038,47.3543,-122.005,3310,7180,679000
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-2787250090,6/18/14,5,3,2795,15101,2,0,0,3,8,2795,0,1996,0,98019,47.7301,-121.972,2750,14567,562000
-461002150,1/5/15,4,1.75,2000,3750,1,0,0,5,8,1120,880,1950,0,98117,47.6816,-122.374,1370,5000,725000
-1898310100,2/20/15,3,2.5,1830,8372,2,0,0,3,8,1830,0,1987,0,98023,47.3116,-122.4,1770,8372,236775
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-4427100025,5/9/14,3,1.5,1500,6337,1,0,0,5,7,1500,0,1953,0,98125,47.7276,-122.312,1420,6337,270000
-4038700730,12/30/14,4,2.75,1950,6930,1,0,2,4,7,1250,700,1960,0,98008,47.616,-122.113,1950,8560,621000
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-126059018,1/8/15,4,2.25,1780,10748,2,0,0,4,8,1780,0,1964,0,98072,47.762,-122.11,2070,37680,395000
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-2799800750,4/16/15,4,2.5,2500,4750,2,0,0,3,8,2500,0,2003,0,98042,47.3666,-122.122,2690,4750,300000
-192000120,5/20/14,3,1.75,1480,7225,1,0,0,4,7,1480,0,1965,0,98056,47.513,-122.185,1430,7201,320000
-625069064,5/7/15,3,2.25,2570,47480,1,0,0,3,9,2570,0,1979,0,98053,47.6854,-122.079,2570,106722,625000
-2391600330,4/10/15,2,1,810,5060,1,0,0,3,6,810,0,1941,0,98116,47.5635,-122.394,900,5060,505000
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-50300220,2/12/15,4,2.5,2180,9281,2,0,0,3,8,2180,0,2004,0,98042,47.3673,-122.072,2520,9520,363000
-4141010110,8/8/14,4,3.5,4330,15335,2,0,0,4,11,3230,1100,1988,0,98040,47.5315,-122.231,3840,14311,1700000
-6641040100,5/15/14,4,3.5,4210,10308,2,0,0,3,10,4210,0,2006,0,98008,47.5905,-122.117,3860,10200,1150000
-7922720040,3/17/15,4,2.5,2880,9202,1,0,0,3,8,1780,1100,1977,0,98052,47.6658,-122.139,2500,10265,680000
-8825900245,12/9/14,5,2.25,2610,4080,2,0,0,5,7,1750,860,1909,0,98115,47.6757,-122.309,2160,4080,678940
-3883100220,1/20/15,3,1.75,2010,8065,1,0,0,4,7,1090,920,1984,0,98031,47.4171,-122.202,1560,8065,299000
-3649100306,5/6/14,4,1.75,1500,11600,1,0,0,4,7,1000,500,1955,0,98028,47.7373,-122.241,1740,11600,379900
-1099600090,6/13/14,3,1,1290,6566,1,0,0,5,7,1290,0,1976,0,98023,47.3004,-122.377,1690,6860,205000
-9828201725,5/20/14,4,1,1320,4440,1.5,0,0,3,7,1320,0,1929,0,98122,47.6145,-122.295,1260,4440,387500
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-6371000026,1/22/15,2,2,1030,600,2,0,0,3,8,680,350,2004,0,98116,47.5788,-122.41,1120,1267,367500
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-6152900332,8/1/14,4,2.5,1160,16008,1,0,0,4,7,1160,0,1989,0,98155,47.7643,-122.295,1570,12645,415000
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-252000300,1/20/15,3,2,1470,16500,1,0,0,3,7,1470,0,1961,0,98042,47.3617,-122.061,1720,14406,300000
-8899100230,3/11/15,3,1.75,1520,7439,1,0,0,4,7,1520,0,1969,0,98055,47.457,-122.208,1650,7500,345000
-685000265,1/2/15,3,1.75,1930,8442,1,0,0,4,7,1930,0,1953,0,98004,47.6313,-122.204,1790,8442,825000
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-3326059191,6/16/14,4,2,1580,9581,1,0,0,3,7,1580,0,1953,0,98033,47.692,-122.165,1580,10552,410000
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-9407001500,8/11/14,3,1.75,1390,9000,1,0,0,4,7,1390,0,1978,0,98045,47.4469,-121.772,1400,9697,270000
-3882300090,12/26/14,3,1.75,1330,14560,1,0,0,3,7,1330,0,1983,0,98052,47.6599,-122.135,1510,9890,475000
-2926049221,10/14/14,3,2,1320,6500,1,0,0,3,7,1320,0,1947,0,98125,47.7119,-122.319,1110,6592,445800
-2121000300,2/19/15,4,3,2430,11670,1,0,0,4,7,1330,1100,1978,0,98034,47.7307,-122.228,1580,10464,518000
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-4077800026,5/30/14,4,1.75,3420,7200,1,0,3,5,8,1770,1650,1947,0,98125,47.7081,-122.277,2450,6200,715000
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-7312400325,6/25/14,2,1,770,4840,1,0,0,4,7,770,0,1927,0,98126,47.551,-122.376,930,4840,275000
-2473500110,1/12/15,3,1.75,1770,16909,1,0,0,5,8,1770,0,1977,0,98058,47.4458,-122.134,1960,9100,419950
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-1823059106,4/28/15,3,1.75,2110,15400,1,0,0,3,7,1380,730,1963,0,98178,47.4861,-122.226,2110,9800,288250
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-5652601075,8/25/14,1,1,950,10585,1.5,0,0,3,6,950,0,1929,0,98115,47.6968,-122.297,1400,7056,377000
-2769601250,5/12/15,2,1,1420,3100,1,0,0,3,7,820,600,1924,0,98107,47.6737,-122.365,1420,3915,550000
-9842300540,6/24/14,3,1,1100,4128,1,0,0,4,7,720,380,1942,0,98126,47.5296,-122.379,1510,4538,339000
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-5437810360,11/7/14,3,1.75,1300,7735,1,0,0,4,7,1300,0,1980,0,98022,47.1983,-122,1300,8941,224500
-5163700085,8/26/14,3,1,1790,11884,1,0,0,3,7,1790,0,1951,0,98031,47.3887,-122.22,1660,11513,260000
-1794500360,4/23/15,2,1,1470,5400,1.5,0,0,3,8,1470,0,1912,0,98119,47.6391,-122.36,1760,3573,865000
-1777600450,5/5/15,5,3,2500,11779,1,0,0,4,8,1550,950,1971,0,98006,47.5696,-122.127,2580,12055,730000
-4083800555,3/26/15,2,1,980,3080,1.5,0,0,3,7,980,0,1910,1946,98103,47.6646,-122.339,1450,3333,550000
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-8562900590,1/22/15,4,3.5,3380,11270,2,0,1,3,9,2160,1220,2007,0,98074,47.6124,-122.06,2910,11214,865000
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-4218400100,9/11/14,6,2.75,4460,6952,2.5,0,2,4,10,3460,1000,1930,0,98105,47.6626,-122.269,2750,4769,1870000
-1424100100,6/10/14,3,1.75,1330,9200,1,0,0,4,7,1330,0,1973,0,98092,47.2916,-122.185,1590,9200,183000
-7861000021,4/29/15,3,1.75,1820,78408,1,0,0,3,6,1220,600,1950,0,98042,47.3364,-122.128,1340,78408,309933
-7856601110,3/25/15,4,2.75,3360,9100,1,0,0,4,8,1760,1600,1973,0,98006,47.5641,-122.149,2620,8925,945800
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-522059172,8/14/14,3,1,1460,10200,1,0,0,4,7,1460,0,1957,0,98055,47.4238,-122.197,1460,8500,220000
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-9201000120,4/22/15,3,2.25,1790,9927,1,0,2,4,7,1240,550,1969,0,98075,47.5822,-122.077,2610,10700,650000
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-1623089039,12/17/14,2,1,900,57063,1,0,0,4,6,900,0,1938,0,98045,47.4735,-121.786,1440,268765,275000
-452001570,4/3/15,2,1.75,1530,5000,2,0,0,4,7,1260,270,1989,0,98107,47.6755,-122.37,1470,5000,576250
-1724069079,3/19/15,2,3.25,2070,3128,2,1,3,3,9,1760,310,1988,0,98075,47.5686,-122.06,2740,3568,1450000
-3141600210,6/19/14,3,2,1340,4320,1,0,0,3,5,920,420,1912,1993,98002,47.299,-122.228,980,6480,186000
-1797500530,5/5/15,1,1,1220,4160,1,0,0,3,7,1220,0,1922,0,98115,47.6746,-122.315,1970,4200,655100
-7300400580,5/5/14,4,2.5,2370,6500,2,0,0,3,9,2370,0,1998,0,98092,47.3328,-122.173,2590,6137,328000
-1826049442,3/10/15,3,2.5,1890,11036,1,0,0,3,8,1460,430,1973,0,98133,47.7426,-122.354,2040,7524,441000
-2525000220,4/14/15,3,1.75,1480,7725,1.5,0,0,4,7,1480,0,1981,0,98059,47.483,-122.163,1720,8379,370000
-191100665,4/13/15,2,1,1050,8382,1,0,0,3,7,1050,0,1959,0,98040,47.5627,-122.221,2400,9525,630000
-5634500201,4/14/15,4,2.25,2070,14000,1,0,0,3,7,1720,350,1958,0,98028,47.7484,-122.237,1690,14444,470500
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-9279700150,2/12/15,4,3.75,4410,8112,3,0,4,3,11,3570,840,2003,0,98116,47.5888,-122.392,2770,5750,1630000
-322059311,3/30/15,4,2.5,1780,15000,2,0,0,2,7,1780,0,1993,0,98058,47.4239,-122.153,2005,9680,355000
-3333002710,9/17/14,3,1,1550,8778,1,0,0,3,7,1250,300,1952,0,98118,47.5413,-122.281,2120,7268,299000
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-7215400770,6/23/14,4,2.5,2000,37045,2,0,0,3,8,2000,0,1989,0,98042,47.3398,-122.071,2390,36868,260000
-1139000215,7/18/14,2,1.75,1270,7560,1.5,0,0,4,7,1270,0,1932,0,98133,47.7083,-122.357,1480,7560,416000
-9218400088,11/19/14,5,1,1810,11205,1.5,0,2,3,7,1810,0,1915,0,98178,47.5099,-122.262,1860,7965,495000
-9455200596,1/14/15,3,1,1450,8100,1,0,0,3,6,1450,0,1952,0,98125,47.7027,-122.289,1450,7800,357500
-510002506,8/25/14,2,1.5,1170,1079,3,0,0,3,7,1170,0,2003,0,98103,47.6607,-122.333,1170,1116,459500
-7212680850,9/3/14,3,2.5,1730,6930,2,0,0,3,8,1730,0,1994,0,98003,47.2621,-122.308,1780,6930,258000
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-7436000205,9/19/14,3,1,1260,24550,1.5,0,2,4,7,1260,0,1937,0,98136,47.5442,-122.396,2500,12320,665000
-425200205,10/3/14,3,1.5,1020,10152,1,0,0,5,6,1020,0,1959,0,98056,47.4971,-122.168,1320,8892,165000
-7138200150,5/18/14,5,2.5,1970,8605,2,0,0,4,7,1970,0,1994,0,98022,47.1944,-122.013,1970,8460,297000
-1782000180,10/23/14,2,1,830,5100,1,0,0,4,7,830,0,1942,0,98126,47.5259,-122.379,1220,5100,350000
-3623500205,5/13/14,4,4.5,5030,11023,2,0,2,3,11,3250,1780,2008,0,98040,47.5722,-122.236,3640,11490,2450000
-1423200110,5/13/15,2,1,800,9450,1,0,0,3,6,800,0,1958,0,98058,47.4563,-122.184,1090,9450,180000
-797000256,4/7/15,3,1.75,1330,12092,1,0,0,4,6,720,610,1981,0,98168,47.5102,-122.324,1770,11770,339950
-9357000215,1/27/15,3,1,1030,4700,1,0,0,3,7,1030,0,1952,0,98146,47.5118,-122.377,1030,4700,365000
-2526069095,6/5/14,4,4.25,5660,193593,2,0,0,3,10,4100,1560,2001,0,98019,47.7064,-121.981,3620,207141,955000
-6908200650,5/27/14,3,2.5,2330,1987,2,0,4,3,9,1410,920,2004,0,98107,47.6735,-122.405,2640,5250,732000
-5021900175,6/16/14,3,1.75,1540,10800,1,0,0,5,6,770,770,1947,0,98040,47.5763,-122.222,2020,10800,500000
-4038700220,2/13/15,6,2.75,2040,8560,1,0,2,4,7,1100,940,1961,0,98008,47.616,-122.115,2230,8560,610000
-9455200205,6/4/14,3,2,1540,7800,1,0,0,3,8,1540,0,2004,0,98125,47.7041,-122.288,1510,7800,525000
-5379804470,6/17/14,4,1,1920,13787,1,0,0,4,7,1220,700,1966,0,98188,47.4502,-122.277,1490,11200,170000
-2517000150,7/13/14,3,2.5,1870,3439,2,0,0,3,7,1870,0,2005,0,98042,47.3992,-122.163,2190,4029,300000
-9264930770,10/29/14,5,3.5,2960,12527,2,0,0,3,9,1940,1020,1986,0,98023,47.3134,-122.35,2210,10952,389500
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-2329800330,11/14/14,3,2.25,1610,7187,2,0,0,3,7,1610,0,1988,0,98042,47.3764,-122.117,1640,7194,269950
-7899800450,8/28/14,2,1,670,4720,1,0,0,4,6,670,0,1948,0,98106,47.5243,-122.358,1480,4720,107000
-2895110062,12/2/14,3,1,1752,14626,2,0,2,3,8,1752,0,2005,0,98032,47.3755,-122.278,1800,9000,249000
-3448001285,8/18/14,4,2,1540,5920,1.5,0,0,5,7,1540,0,1935,0,98125,47.7148,-122.301,1630,6216,442500
-521079025,4/17/15,3,2.5,3160,286181,2,0,3,3,9,3160,0,2002,0,98010,47.3401,-121.946,2110,94663,579000
-624069098,1/21/15,3,1.75,2570,39634,2,0,0,3,8,2570,0,1984,0,98075,47.596,-122.08,2990,39634,621500
-2946003580,11/19/14,3,1.5,1370,7500,1,0,0,3,7,1080,290,1958,0,98198,47.4167,-122.322,1400,7500,203000
-7227500450,9/9/14,2,1,860,5800,1,0,0,5,5,860,0,1942,0,98056,47.4979,-122.183,900,6000,222900
-2322069100,4/9/15,2,1.5,1680,17400,1.5,0,0,3,7,1680,0,1991,0,98038,47.3836,-122.006,1610,27600,453000
-2144800615,6/25/14,1,0.75,930,29258,1,0,0,3,6,930,0,1941,0,98178,47.4837,-122.236,2000,18321,190000
-1432900150,4/6/15,4,1.75,1820,7381,1,0,0,5,7,1150,670,1962,0,98058,47.4567,-122.171,1610,8462,320000
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-2310050110,12/15/14,3,2.25,2520,6170,2,0,0,3,7,1850,670,2003,0,98038,47.3522,-122.042,2260,6967,364950
-6743700090,11/20/14,3,1.75,1560,9247,1,0,0,3,7,1160,400,1989,0,98033,47.6954,-122.174,1690,8772,490000
-3935900093,4/27/15,5,1.75,2250,13526,1,0,1,3,8,1350,900,1957,0,98125,47.7108,-122.279,2580,10078,688000
-123039279,7/11/14,2,1,640,7768,1,0,0,3,6,640,0,1942,0,98106,47.515,-122.359,840,7424,165000
-4307350730,11/13/14,5,3.75,3880,8370,2,0,0,4,7,3880,0,2004,0,98056,47.4811,-122.179,2160,4651,506000
-1954700610,12/9/14,3,2.25,3360,7108,2,0,0,3,10,2770,590,1905,2004,98112,47.6187,-122.284,3450,8558,2190000
-8155500110,4/29/15,5,1.75,2350,7800,1,0,0,4,8,1510,840,1968,0,98008,47.6225,-122.107,2220,8400,754000
-7129303045,4/17/15,5,2.5,2340,1989,2,1,4,3,8,2340,0,1959,0,98118,47.5193,-122.257,2200,3230,949950
-6021503451,8/22/14,3,2.5,1430,1056,3,0,0,3,8,1430,0,2003,0,98117,47.684,-122.388,1310,2135,443600
-3793400360,8/14/14,3,2.5,1920,12244,2,0,0,3,7,1920,0,1998,0,98019,47.7256,-121.97,1920,11859,380600
-7504101280,1/26/15,3,3.25,4330,14600,2,0,0,3,10,3630,700,1985,0,98074,47.6341,-122.044,3220,12672,722800
-3331500121,2/10/15,2,1,790,5150,1,0,0,4,6,790,0,1948,0,98118,47.5528,-122.272,1460,5150,342888
-438000015,9/16/14,4,1.75,2350,5946,1,0,2,3,8,1350,1000,1957,0,98115,47.6879,-122.298,2060,6000,555000
-5366200205,6/3/14,3,2.5,1350,3068,2,0,0,3,7,1350,0,1991,0,98122,47.6099,-122.293,1900,4000,613000
-2026049067,7/2/14,3,2,1470,10052,1,0,0,4,8,1470,0,1956,0,98125,47.726,-122.316,1480,9780,480000
-3885808035,3/16/15,6,1.5,1680,5202,1.5,0,0,2,7,1680,0,1911,0,98033,47.6798,-122.206,1890,5500,619500
-1494300040,6/24/14,4,2.5,1890,8505,1,0,0,3,8,1290,600,1980,0,98052,47.6796,-122.115,1720,9600,437000
-6071200195,4/8/15,4,2.5,2030,9905,1,0,0,4,8,2030,0,1959,0,98006,47.5518,-122.184,2130,10008,621000
-1257202215,7/14/14,4,1.75,1760,4080,1.5,0,0,4,8,1760,0,1906,0,98103,47.675,-122.331,1760,6120,810000
-5589300145,5/27/14,3,2.25,1950,8868,1,0,0,3,7,1350,600,1964,0,98155,47.7538,-122.312,1300,8880,415000
-293000145,11/13/14,4,1,1440,7404,1,0,0,3,6,1080,360,1918,0,98126,47.5328,-122.379,1620,7436,250000
-4315701163,4/13/15,3,1.5,2230,6000,1,0,1,3,8,1260,970,1968,0,98136,47.5373,-122.395,2120,7200,585000
-6163900981,5/28/14,3,1,1180,5002,1.5,0,0,3,7,1180,0,1946,0,98155,47.7529,-122.324,1470,8410,220000
-4157600120,4/22/15,5,2.5,2500,11900,1,0,0,3,7,1400,1100,1963,0,98007,47.5915,-122.132,2820,11900,580000
-3262301355,7/25/14,3,2.75,2680,20104,1,0,0,5,9,1820,860,1964,0,98039,47.6304,-122.234,3060,19837,1320000
-4376700330,8/1/14,4,2.5,2040,9225,1,0,0,5,8,1610,430,1968,0,98052,47.636,-122.097,1730,9225,675000
-8691370330,10/29/14,4,2.75,2660,7389,2,0,0,3,9,2660,0,2002,0,98075,47.5993,-121.977,2820,7388,695000
-5078400090,12/9/14,5,2.75,2580,7630,1,0,0,4,7,1730,850,1954,0,98004,47.6226,-122.205,2040,7717,915000
-5272200040,11/21/14,3,1,1000,6947,1,0,0,4,7,1000,0,1947,0,98125,47.7142,-122.319,1000,6947,375000
-2997800015,4/7/15,3,1.5,1330,1265,2,0,0,3,8,1140,190,2008,0,98116,47.5773,-122.409,1330,1264,500000
-2780900220,12/26/14,2,2,1420,5185,1,0,0,3,7,1420,0,2004,0,98038,47.3543,-122.022,2140,4890,335000
-4463400195,7/18/14,2,1,1280,21750,1.5,0,0,5,6,1280,0,1912,0,98001,47.3096,-122.241,1520,21750,170000
-844001485,4/29/15,5,2.5,2200,8500,1,0,0,4,7,1400,800,1971,0,98010,47.3073,-122.006,1360,8855,320900
-8123450300,3/6/15,3,1.75,1800,8462,1,0,0,3,8,1440,360,1978,0,98052,47.6623,-122.141,2210,8436,508000
-7137800300,7/8/14,3,1.75,1200,9085,1,0,0,4,7,1200,0,1968,0,98023,47.2795,-122.353,1200,9085,228950
-7972600910,5/7/15,4,2,1840,4760,1.5,0,0,4,6,1080,760,1929,0,98106,47.5297,-122.349,1170,5950,433000
-7452500770,9/8/14,2,1,960,5150,1,0,0,5,6,960,0,1951,0,98126,47.5201,-122.372,1010,5000,267500
-5250300035,10/8/14,4,1.5,2890,9000,2,0,4,3,8,2090,800,1939,0,98118,47.5682,-122.274,2550,8400,910000
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-6600220150,3/10/15,4,2.5,2230,14694,1,0,0,4,7,1180,1050,1981,0,98074,47.6305,-122.034,1470,13458,549950
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-3905040220,5/9/14,3,2.5,2030,6970,2,0,0,4,8,2030,0,1991,0,98029,47.5718,-121.999,2000,6140,525000
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-3832070040,4/16/15,4,2.5,1996,4547,2,0,0,3,7,1996,0,2009,0,98042,47.3365,-122.051,2180,5127,285000
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-6388910730,8/6/14,3,2.5,2480,8676,2,0,0,4,8,2480,0,1989,0,98056,47.53,-122.172,2540,9496,555000
-7882900120,5/7/14,3,2.5,1920,9180,2,0,0,3,8,1920,0,1988,0,98055,47.4818,-122.231,1930,7252,230000
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-6821100246,9/3/14,2,1,880,3200,1,0,0,3,7,880,0,1910,1970,98199,47.6575,-122.402,1880,6000,415000
-8731981500,8/18/14,4,1.75,2160,8000,1,0,0,4,9,1660,500,1976,0,98023,47.3165,-122.382,2350,8200,355000
-6979910120,3/23/15,4,2.5,2570,27972,2,0,0,3,8,2570,0,1997,0,98053,47.6343,-121.969,2500,29761,635000
-2123700100,12/2/14,5,2.75,2130,5000,1,0,0,5,7,1100,1030,1978,0,98118,47.5271,-122.274,1340,6837,353000
-3425059141,5/28/14,7,4,3150,34830,1,0,0,3,9,3150,0,1957,2005,98007,47.6029,-122.147,2390,12054,999000
-3876600120,4/22/15,3,1.5,1780,10196,1,0,0,4,7,1270,510,1967,0,98001,47.3375,-122.291,1320,7875,265000
-4038000040,3/26/15,4,1.75,1910,8250,1,0,0,4,7,1910,0,1959,0,98008,47.6131,-122.123,1500,8250,250000
-6668900155,8/20/14,2,1,1170,7142,1,0,0,3,7,1170,0,1951,0,98155,47.7497,-122.313,1170,7615,225000
-8132700150,5/3/14,2,1,900,5000,1,0,0,3,7,900,0,1944,0,98117,47.6883,-122.395,1280,5000,553000
-4038800580,6/4/14,5,2.5,2650,11455,1,0,0,3,7,1400,1250,1961,0,98008,47.6141,-122.116,1960,9880,565000
-3331001910,8/18/14,2,1,1170,5150,1,0,0,3,6,980,190,1907,0,98118,47.5503,-122.283,1660,5150,312000
-2726079103,7/22/14,3,2.5,2630,185130,2,0,0,3,9,2630,0,1991,0,98014,47.7035,-121.894,2630,210394,475000
-7212651210,11/6/14,4,2.75,2150,9163,1,0,0,3,8,1340,810,1992,0,98003,47.266,-122.307,2260,7750,320000
-2026059119,8/25/14,3,2,1430,9583,1,0,0,4,7,1430,0,1964,0,98034,47.7206,-122.197,1890,11100,453000
-3330501120,3/25/15,3,1,960,6180,1,0,0,4,6,960,0,1910,0,98118,47.5518,-122.279,1250,4120,320000
-1250202324,1/22/15,4,2.75,2640,8400,1,0,2,3,8,1440,1200,1947,0,98144,47.5882,-122.29,2610,6000,610000
-3815500035,5/20/14,3,1.5,1490,9630,1,0,0,4,8,1490,0,1959,0,98028,47.7623,-122.256,1960,10469,385000
-5706600150,5/28/14,3,1.75,1210,8075,1,0,0,4,6,1210,0,1983,0,98001,47.2666,-122.254,1310,8025,215000
-8005100540,7/9/14,4,1.5,1860,5040,1.5,0,0,5,8,1860,0,1920,0,98022,47.2077,-121.993,1680,5800,215000
-293720180,12/30/14,3,2.5,1980,4274,2,0,0,3,7,1980,0,2003,0,98028,47.7767,-122.239,2000,4394,415000
-5101405604,8/14/14,1,1,900,6380,1,0,0,3,6,900,0,1947,0,98125,47.7019,-122.311,1830,6380,350000
-5101405604,4/28/15,1,1,900,6380,1,0,0,3,6,900,0,1947,0,98125,47.7019,-122.311,1830,6380,395000
-2387000110,11/10/14,2,1.75,1490,9874,1,0,0,4,7,1490,0,1963,0,98004,47.6246,-122.199,2280,9869,898000
-7238000330,12/18/14,3,2.5,2980,7338,2,0,0,3,8,2980,0,2006,0,98055,47.437,-122.207,3010,5267,480000
-3879901295,11/10/14,3,2.5,2660,1973,3,0,3,3,9,1870,790,2007,0,98119,47.6264,-122.364,1640,1369,1240000
-326069131,6/11/14,4,2.5,2790,230868,2,0,0,3,8,2790,0,1989,0,98077,47.7647,-122.019,1590,217800,599000
-629811340,5/8/15,4,3,2800,9127,2,0,0,3,9,2800,0,1999,0,98074,47.6123,-122.007,2780,8165,770000
-9808700650,3/13/15,3,2.25,1590,8520,2,0,0,4,8,1590,0,1980,0,98004,47.6477,-122.216,2470,12005,1210000
-8964800755,1/16/15,4,2.25,3240,11131,1,0,0,4,9,2080,1160,1953,0,98004,47.6182,-122.215,2300,12150,1590000
-1126059095,5/26/14,3,2,2130,35169,1,0,0,4,8,2130,0,1989,0,98072,47.7489,-122.123,2860,43560,880000
-1899400365,6/20/14,3,2,1510,7884,1,0,0,3,6,1510,0,1942,2014,98166,47.4683,-122.348,1050,7620,332000
-259800410,11/6/14,3,1.75,1750,7200,1,0,0,3,7,1750,0,1966,0,98008,47.6289,-122.119,1810,7590,445000
-3523069047,8/25/14,4,2.75,4010,87555,2,0,0,3,10,4010,0,2004,0,98038,47.4299,-121.998,2451,209523,849000
-6852700476,12/11/14,4,1.5,1650,2970,1.5,0,0,3,7,1650,0,1903,0,98102,47.6233,-122.319,1670,2970,752000
-424049043,8/11/14,9,7.5,4050,6504,2,0,0,3,7,4050,0,1996,0,98144,47.5923,-122.301,1448,3866,450000
-7646900360,9/18/14,3,1,1320,5500,1,0,0,3,7,1320,0,1955,0,98116,47.5705,-122.398,1480,5250,420000
-2991000220,3/17/15,4,2.5,2310,6320,2,0,0,3,8,2310,0,1997,0,98092,47.3287,-122.167,1850,6181,330000
-3034200366,12/3/14,3,1.75,1440,9065,1,0,0,4,8,1440,0,1972,0,98133,47.7163,-122.333,1990,8812,409000
-5127000410,6/27/14,5,1.75,2330,14322,1,0,0,4,7,1180,1150,1968,0,98059,47.4768,-122.155,1690,10010,350000
-2826079101,4/15/15,4,2.5,2430,44001,1,0,0,3,8,2430,0,1994,0,98019,47.7125,-121.916,2200,46924,570000
-3972900195,9/16/14,3,1,1390,8333,1,0,0,3,7,1390,0,1982,0,98155,47.7652,-122.31,1320,7090,315000
-8018600870,10/6/14,2,1,1150,15000,1,0,0,3,6,1060,90,1930,2013,98168,47.4935,-122.316,1350,15000,224000
-257000038,10/6/14,4,1.75,2120,9706,1,0,0,3,7,1370,750,1965,0,98168,47.4939,-122.297,1730,11337,293550
-7981900110,10/3/14,4,2.75,2300,3175,1.5,0,0,3,6,1340,960,1966,0,98144,47.5732,-122.305,1260,3175,350000
-8965500880,9/16/14,4,2.5,3320,9380,2,0,3,3,10,3320,0,1988,0,98006,47.5655,-122.114,2870,11779,1110000
-5253300437,3/19/15,4,2.5,2400,7092,2,0,0,3,7,2400,0,1997,0,98133,47.7522,-122.338,2350,8310,442500
-2523069172,8/4/14,3,2.5,3580,118047,1,0,0,3,9,3240,340,1992,0,98027,47.4453,-121.98,3240,123275,616500
-6388910360,11/19/14,3,2.5,2100,9040,1,0,0,3,8,1700,400,1989,0,98056,47.5329,-122.173,2430,8809,506400
-7326200110,12/22/14,3,2.25,1550,4411,2,0,0,3,7,1550,0,2001,0,98019,47.7373,-121.966,1620,4621,324000
-3701900085,8/5/14,3,1.5,1570,6450,1.5,0,0,4,6,1570,0,1931,0,98022,47.2021,-121.996,1400,6450,169000
-9376301520,5/29/14,3,2,1480,5000,1,0,0,4,7,750,730,1928,0,98117,47.6859,-122.37,1250,4000,595000
-2111000580,5/21/14,3,2.5,2720,6014,2,0,0,3,7,2720,0,2002,0,98092,47.3344,-122.174,2760,6537,299900
-8645510230,5/29/14,3,2.25,2270,8876,1,0,0,3,7,1380,890,1977,0,98058,47.4653,-122.176,2150,7455,332000
-6204410330,10/20/14,4,1.75,2410,8400,1,0,0,3,7,1600,810,1978,0,98011,47.7341,-122.2,1850,8400,432000
-8159300040,10/2/14,4,2.75,2730,9112,1,0,2,3,9,1740,990,1996,0,98198,47.4005,-122.312,3050,10454,510000
-8091410530,5/1/15,3,2.5,1540,7739,2,0,0,4,7,1540,0,1986,0,98030,47.3511,-122.169,1720,7200,270000
-8653600100,3/30/15,5,2.5,3120,15593,2,0,4,3,11,3120,0,1986,0,98074,47.6142,-122.065,3390,17003,750000
-9550202730,10/14/14,2,1.5,1480,3120,1,0,0,3,7,930,550,1914,2007,98105,47.6684,-122.323,1000,3780,509250
-8651410740,2/19/15,3,1,860,5200,1,0,0,5,6,860,0,1969,0,98042,47.3677,-122.078,1010,5200,189000
-225039177,12/8/14,4,2.5,2180,3893,2,0,0,3,8,2180,0,1999,0,98117,47.6886,-122.388,1710,4550,726500
-6082400191,6/19/14,3,2,1300,11374,1.5,0,0,5,7,1300,0,1933,0,98168,47.4839,-122.302,1480,9670,287000
-3622069095,9/17/14,4,3.5,3420,49223,2,0,0,3,9,3420,0,2004,0,98010,47.3534,-121.992,3580,49223,679000
-6666860210,6/2/14,3,2.25,2130,8721,1,0,0,3,8,1570,560,1987,0,98031,47.4202,-122.204,2130,9477,316000
-8161000230,4/27/15,4,2.5,2300,22445,2,0,0,4,8,2300,0,1992,0,98014,47.6454,-121.902,2640,21886,498000
-7214820610,10/7/14,4,1.75,2560,8270,1,0,0,3,7,1480,1080,1979,0,98072,47.7572,-122.147,2320,8450,448000
-434000040,5/27/14,2,1,1040,5527,1,0,0,3,7,1040,0,1951,0,98115,47.6774,-122.284,2080,7020,535000
-8914200220,1/16/15,4,3,3080,9601,2,0,1,3,10,3080,0,1990,0,98003,47.334,-122.332,3200,9375,560000
-6072760210,10/2/14,4,2.25,2670,14255,1,0,0,4,8,1610,1060,1975,0,98006,47.5623,-122.175,2470,10290,437850
-9485950040,6/6/14,4,2.75,3270,50994,2,0,0,4,8,2720,550,1983,0,98042,47.347,-122.087,2780,36036,435000
-4027700456,6/19/14,4,2.5,2610,8031,2,0,0,3,8,2610,0,1998,0,98155,47.7717,-122.27,2320,8031,510000
-1023059365,5/6/14,3,2.5,2460,54885,2,0,0,4,8,2460,0,1980,0,98059,47.4996,-122.146,2770,21407,520000
-8944600620,7/3/14,2,1.5,1930,3521,2,0,0,3,8,1930,0,1989,0,98007,47.6092,-122.146,1840,3576,509000
-2997800090,4/6/15,3,1,1220,5652,1,0,0,3,6,1220,0,1905,0,98116,47.5767,-122.408,1490,2467,575000
-2787700150,4/22/15,4,2.5,2030,7210,1,0,0,5,7,1330,700,1969,0,98059,47.5067,-122.16,1980,7560,365000
-4055701110,6/12/14,3,2,2420,17859,1,0,1,5,9,1500,920,1979,0,98034,47.7074,-122.246,2955,17859,795000
-2517000790,6/11/14,3,2.5,1870,4060,2,0,0,3,7,1870,0,2005,0,98042,47.3986,-122.163,2190,4060,285000
-2125059124,6/2/14,3,2.25,3020,43560,2,0,0,3,10,2720,300,1969,0,98005,47.6456,-122.173,3910,43560,955000
-7284900405,7/14/14,4,2.5,2880,8400,2,0,4,3,8,2050,830,1955,1987,98177,47.7704,-122.386,2880,7440,775000
-3937900120,10/6/14,4,3,1810,5012,2,0,0,4,7,1810,0,1997,0,98108,47.5691,-122.292,1670,5161,400000
-200520120,7/1/14,4,2.5,2590,8483,2,0,0,3,9,2590,0,1991,0,98011,47.738,-122.221,2660,8717,570000
-7203220360,10/20/14,5,3.25,3830,6507,2,0,0,3,9,3830,0,2014,0,98053,47.6843,-122.016,3950,6723,955990
-3425059219,9/29/14,3,2.25,3250,34848,1,0,0,3,10,2260,990,2006,0,98005,47.6077,-122.158,2770,21512,1150000
-5469502170,4/14/15,4,2,2760,21465,1,0,0,4,9,2120,640,1979,0,98042,47.3818,-122.165,2550,13144,459950
-6303401395,2/19/15,2,1.75,1220,8382,1,0,0,3,6,1220,0,1942,0,98146,47.5033,-122.359,1100,8382,245000
-8822901301,9/8/14,3,1.5,1280,974,3,0,0,3,7,1280,0,2003,0,98125,47.7162,-122.293,1420,1422,281000
-6730700385,10/22/14,3,0.75,770,7000,1,0,0,3,4,770,0,1942,0,98024,47.5661,-121.887,950,10500,205000
-4396000530,6/11/14,3,1.75,1520,15090,1,0,0,4,7,1520,0,1968,0,98038,47.398,-121.964,1580,18618,290000
-4077800590,2/26/15,4,2.5,2080,11176,1,0,0,5,8,2080,0,1954,0,98125,47.7107,-122.289,1390,7928,635000
-2461900845,9/3/14,1,1,570,6000,1,0,0,2,5,570,0,1918,0,98136,47.5517,-122.385,1530,6000,310000
-5366200330,1/14/15,4,2,1500,3659,1,0,0,3,7,830,670,1906,0,98122,47.6088,-122.293,1560,3706,470000
-6899990230,7/1/14,2,2.5,2510,14878,2,0,0,3,10,2510,0,1990,0,98011,47.7525,-122.205,3080,13594,600000
-7950700120,12/17/14,4,2,1980,10051,1,0,0,3,7,1980,0,1969,2003,98092,47.3231,-122.103,1520,10125,279000
-7852090180,8/4/14,3,3.5,2500,4270,2,0,0,3,8,2500,0,2000,0,98065,47.536,-121.877,2420,4205,538500
-3066410850,7/9/14,4,2.5,2720,10006,2,0,0,3,9,2720,0,1989,0,98074,47.6295,-122.042,2720,10759,594950
-2422059015,8/8/14,2,1,910,295772,1,0,0,3,5,910,0,1953,0,98042,47.3752,-122.11,2050,48351,533050
-7436500360,6/6/14,3,1.75,1480,7040,1,0,0,3,7,1480,0,1974,0,98033,47.6723,-122.169,2040,7810,510000
-984210590,9/29/14,4,2.25,2470,8686,1,0,0,4,7,1270,1200,1974,0,98058,47.4371,-122.166,1900,7350,360000
-8024202350,7/21/14,2,1,1650,5106,1,0,0,3,7,1090,560,1960,0,98115,47.6992,-122.309,1300,6947,435000
-6392002020,3/24/15,3,1.75,1700,6500,1,0,0,3,8,1700,0,1967,0,98115,47.6837,-122.284,1880,6000,559000
-6398000191,8/27/14,2,1.5,1995,115670,1.5,0,1,4,8,1995,0,1991,0,98070,47.4022,-122.464,2142,29375,645000
-3904100065,10/28/14,2,1,1280,9690,1,0,0,4,6,640,640,1919,0,98118,47.5341,-122.279,1630,15884,340000
-5535600150,3/12/15,4,2.5,2980,10459,2,0,0,3,9,2980,0,2001,0,98019,47.7354,-121.974,2920,7700,565000
-8024200820,2/13/15,3,1.75,1730,6130,1,0,0,3,7,1480,250,1941,0,98115,47.6978,-122.316,1730,6131,575700
-9301300215,6/17/14,3,3.25,2420,1923,2,0,2,3,10,1840,580,2006,0,98109,47.637,-122.341,1840,2890,1010000
-1122069006,7/10/14,3,2,2800,185130,1,0,0,3,8,2320,480,1996,0,98038,47.4133,-122.006,2200,72055,540500
-5379801972,8/18/14,5,4,1400,8580,1,0,0,5,7,900,500,1954,0,98188,47.456,-122.292,1220,8832,265000
-4077800088,8/11/14,4,2,2070,7830,1,0,1,5,7,1180,890,1941,0,98125,47.7058,-122.278,2390,7830,699950
-1823069059,6/11/14,1,1.75,750,20339,1,0,0,4,4,550,200,1946,0,98059,47.4756,-122.09,2020,23958,355000
-7979900215,6/11/14,3,1.5,1460,11407,1,0,0,3,7,1460,0,1954,0,98155,47.746,-122.294,1470,11407,381000
-5101404444,4/14/15,5,2.25,2140,8700,1,0,2,3,8,1220,920,1962,0,98115,47.6969,-122.31,1720,6670,564000
-892000025,7/10/14,2,1,740,6250,1,0,0,3,6,740,0,1942,0,98146,47.506,-122.335,980,6957,114975
-6303400395,1/30/15,1,0.75,410,8636,1,0,0,2,4,410,0,1953,0,98146,47.5077,-122.357,1190,8636,325000
-2320069189,10/27/14,2,1,1570,125452,1,0,3,4,7,1570,0,1953,0,98022,47.2077,-122.016,1660,46119,299990
-2568200610,5/13/15,5,2.75,2860,5280,2,0,0,3,9,2860,0,2006,0,98052,47.707,-122.102,3150,6442,751000
-6073230230,12/31/14,3,2.25,1400,6970,2,0,0,3,8,1400,0,1984,0,98006,47.542,-122.184,1800,8140,425000
-1024049006,1/14/15,3,1.75,2700,5040,1,0,2,3,8,1560,1140,1947,0,98144,47.5834,-122.29,3010,5000,665000
-823069044,3/25/15,5,4,4460,269345,2,0,4,3,9,3330,1130,1996,0,98027,47.4992,-122.06,2670,115434,833450
-2926049086,10/28/14,7,1.5,2670,11250,1.5,0,0,4,8,2320,350,1948,0,98133,47.7121,-122.332,2030,9000,575000
-5127001320,11/25/14,3,1.75,1520,9600,1,0,0,4,7,1520,0,1967,0,98059,47.473,-122.149,1590,10183,190000
-5127001320,2/23/15,3,1.75,1520,9600,1,0,0,4,7,1520,0,1967,0,98059,47.473,-122.149,1590,10183,314950
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-9406570300,9/30/14,4,2.5,2980,8786,2,0,0,3,8,2980,0,2003,0,98038,47.378,-122.03,2980,6718,382500
-7518500301,3/1/15,3,1,1180,2250,1.5,0,0,3,7,1180,0,1902,0,98117,47.6779,-122.377,1320,5100,490000
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-3739500096,5/5/15,3,2,1540,6000,1,0,0,4,6,1540,0,1953,0,98155,47.7372,-122.307,1490,8213,430000
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-8106300090,4/28/15,3,2.5,2810,4984,1,0,0,3,9,1750,1060,2006,0,98055,47.4461,-122.209,2810,5711,479950
-225069013,6/23/14,4,2.5,2500,206474,1,0,0,3,10,2500,0,1997,0,98053,47.6778,-121.994,3680,208652,806000
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-1623301185,1/23/15,3,1.75,1780,4500,1,0,0,4,7,920,860,1922,0,98117,47.6827,-122.362,1360,4000,625000
-3260810590,9/12/14,3,2.5,2240,7565,2,0,0,3,8,2240,0,1999,0,98003,47.3485,-122.301,2190,8254,349950
-8589100090,6/17/14,4,2,1610,9600,1,0,0,5,7,1610,0,1967,0,98056,47.5327,-122.186,1450,9600,415000
-7579200767,11/5/14,2,2,1440,1170,2,0,0,3,9,960,480,2004,0,98116,47.5592,-122.385,1440,1350,435000
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-1526300015,6/12/14,3,1,1180,11862,1,0,0,4,7,1180,0,1948,0,98177,47.7153,-122.363,1540,8100,397990
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-3622069122,9/3/14,4,3.5,3770,47480,2,0,0,3,9,3770,0,2003,0,98010,47.3552,-121.99,3380,42689,665000
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-8045000180,4/21/15,3,2,1490,7431,1,0,0,4,7,1490,0,1966,0,98052,47.6697,-122.162,1700,7725,585888
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-880000208,12/13/14,3,2.5,1610,1356,2,0,0,3,8,1240,370,2007,0,98106,47.5257,-122.361,1270,1314,320000
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-5556800150,5/15/14,4,2,1670,9987,1,0,0,3,7,1670,0,1967,0,98001,47.3406,-122.284,1640,7280,204700
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-5419801120,1/13/15,3,2.75,1900,8200,2,0,0,4,7,1900,0,1984,0,98031,47.402,-122.183,1620,8200,314000
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-622069123,8/19/14,3,2,1700,52826,1,0,0,3,7,1700,0,1991,0,98058,47.4164,-122.092,2480,114728,429000
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-4302201085,5/6/15,3,1,1470,7680,1,0,0,3,7,1220,250,1946,0,98106,47.5276,-122.359,1470,6784,546940
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-3621059048,10/10/14,3,1.75,2030,217800,1,0,2,4,8,2030,0,1977,0,98092,47.2618,-122.12,2570,216057,395000
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-192600100,6/26/14,4,2.5,2160,7826,1,0,0,4,7,1390,770,1976,0,98155,47.7754,-122.276,2190,9900,440000
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-6140100150,11/25/14,4,2,2280,7200,1,0,0,4,7,2280,0,1956,0,98133,47.7132,-122.355,1100,7620,500000
-9550203690,11/20/14,5,2.75,2590,6120,2,0,0,3,8,2590,0,1909,0,98105,47.6667,-122.327,1390,3060,961000
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-2122059199,10/2/14,4,4.25,4480,5715,2,0,0,3,7,3680,800,2003,0,98030,47.373,-122.179,2190,6070,490000
-3601200017,7/2/14,4,2.5,1780,6000,2,0,0,3,7,1780,0,1991,0,98198,47.3828,-122.302,1630,6000,175000
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-2919201385,11/13/14,2,1,680,4190,1,0,0,2,5,680,0,1906,0,98103,47.6901,-122.358,1070,4175,275000
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-1310700210,6/3/14,3,1.75,1970,10270,1,0,0,4,8,1970,0,1966,0,98032,47.3619,-122.285,1970,8400,268000
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-722059002,9/9/14,2,2.5,2110,114127,1,0,0,4,8,1590,520,1975,0,98031,47.4137,-122.212,1960,11250,380000
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-5589300205,8/5/14,5,1,1680,9383,1,0,0,3,7,1400,280,1929,0,98155,47.7523,-122.311,1680,9458,274000
-644000040,4/29/15,4,3.25,3950,10912,2,0,0,3,10,3950,0,2003,0,98004,47.5877,-122.196,3000,10998,1780000
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-6619910230,6/16/14,3,2.5,1940,9775,1,0,2,3,8,1440,500,1975,0,98034,47.7142,-122.222,2830,9775,545000
-3275310220,12/22/14,3,2,1360,9688,1,0,0,4,7,1360,0,1983,0,98003,47.2574,-122.31,1390,9685,244000
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-1024069009,5/2/14,5,2.5,2820,67518,2,0,0,3,8,2820,0,1979,0,98029,47.5794,-122.025,2820,48351,675000
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-886000015,12/10/14,2,2,1290,9041,1,0,0,3,7,950,340,1956,0,98108,47.5346,-122.291,1290,5000,275000
-3578600062,5/12/14,3,1,1830,8209,1,0,0,3,7,1830,0,1942,0,98028,47.7439,-122.228,2150,12000,270000
-1402950450,4/15/15,4,2.5,2040,5472,2,0,0,3,8,2040,0,2003,0,98092,47.3337,-122.189,2420,5782,325000
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-3537900180,10/20/14,2,1,1300,12000,1,0,0,4,8,1300,0,1959,0,98004,47.6366,-122.229,2420,15000,700000
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-5035300085,6/2/14,4,2,2360,6000,1,0,0,5,7,1260,1100,1939,0,98199,47.6534,-122.41,1720,6000,730000
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-9828702055,5/8/14,2,1.5,960,1808,2,0,0,3,7,960,0,1993,0,98122,47.6183,-122.298,1290,1668,358000
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-8670900140,7/29/14,3,2.25,3200,3800,2,0,0,5,9,2650,550,1914,0,98102,47.638,-122.317,2400,3900,995000
-2540850070,3/20/15,4,2.75,2020,7357,1,0,0,3,7,1350,670,1986,0,98034,47.7145,-122.225,1690,7804,520000
-1921069068,4/29/15,4,2.5,3030,180263,2,0,0,3,7,2030,1000,1987,0,98092,47.2953,-122.097,2600,182509,400000
-3574800860,10/7/14,3,1.75,2350,7641,1,0,0,3,7,1510,840,1978,0,98034,47.7307,-122.219,2190,7500,440000
-5652600069,9/17/14,3,1.5,1690,6010,1,0,0,3,7,1230,460,1946,0,98115,47.6955,-122.291,1690,5418,440000
-4083302625,3/24/15,3,1,1280,3900,1,0,0,4,7,1280,0,1921,0,98103,47.6545,-122.336,2020,4560,738000
-114100791,4/3/15,3,1.5,1170,9848,1,0,0,3,7,1170,0,1963,0,98028,47.7612,-122.234,2220,5542,250000
-9432900070,9/2/14,4,2.25,2700,8580,2,0,0,3,8,2700,0,1992,0,98022,47.2087,-122.009,2420,8580,338150
-7214820400,9/2/14,3,2.25,1800,7371,1,0,0,3,7,1280,520,1979,0,98072,47.7584,-122.145,1960,7675,425000
-2725069157,6/13/14,4,2.5,3670,54450,2,0,0,3,10,3670,0,1999,0,98074,47.6211,-122.016,2900,49658,883000
-1025079074,12/2/14,3,2,2350,266151,1.5,0,0,3,7,2350,0,1983,0,98014,47.6609,-121.892,2270,222156,510000
-724069070,9/13/14,4,1.75,3100,21303,1,0,1,4,9,3100,0,1962,0,98075,47.5847,-122.081,3480,9697,950000
-2206700070,10/13/14,3,1,1120,9656,1,0,0,5,7,1120,0,1955,0,98006,47.567,-122.139,1720,9908,435000
-8564500240,5/27/14,5,1.5,1900,10226,1,0,0,3,7,1130,770,1961,0,98034,47.7226,-122.227,1690,10227,415000
-7579200765,10/6/14,2,2.5,1350,944,2,0,0,3,9,870,480,2004,0,98116,47.5591,-122.385,1440,1350,439000
-7893205525,5/27/14,5,1,1410,6400,1,0,0,5,7,960,450,1955,0,98198,47.4207,-122.334,1400,6500,295832
-9320700400,10/31/14,3,1.75,1560,9514,1,0,0,4,7,1560,0,1967,0,98031,47.4088,-122.21,1550,9600,285000
-3226049045,4/30/15,3,1.5,1090,5003,1,0,0,3,7,1090,0,1962,0,98125,47.703,-122.321,1540,5279,350000
-9828701741,10/21/14,2,2.75,1465,972,2,0,0,3,7,1050,415,2006,0,98112,47.621,-122.298,1480,1430,489000
-7205510370,11/24/14,3,2.25,1790,6930,1,0,0,3,7,1390,400,1974,0,98003,47.3536,-122.317,1810,7420,304500
-8899000310,3/17/15,3,1.5,1300,7313,1,0,0,4,7,1300,0,1968,0,98055,47.4568,-122.21,1770,8075,288000
-6804600240,2/11/15,3,1.75,1920,9512,1,0,0,3,8,1440,480,1980,0,98011,47.7606,-122.167,1820,9512,417000
-2902201126,4/1/15,3,3,1420,991,2,0,0,3,8,1040,380,2005,0,98102,47.6408,-122.327,1500,1301,615000
-5536500200,9/18/14,5,3.5,3760,4857,2,0,3,3,9,2820,940,2004,0,98072,47.7398,-122.167,3000,5693,730000
-3530490160,8/21/14,2,1,930,3447,1,0,0,4,8,930,0,1978,0,98198,47.3822,-122.318,1160,3447,178500
-2008000550,8/15/14,4,2,1580,9600,1,0,0,5,7,1050,530,1965,0,98198,47.4091,-122.313,1710,9600,300000
-2045400075,6/23/14,4,2.5,2170,8518,1,0,3,3,7,1350,820,1955,0,98178,47.5073,-122.234,1880,7680,415000
-616000200,8/22/14,3,1.75,2040,15695,1,0,0,4,8,2040,0,1959,0,98166,47.4155,-122.339,2280,14400,452500
-7852160310,8/14/14,4,2.75,3430,15877,1,0,4,3,11,3430,0,2005,0,98065,47.5364,-121.856,4080,14577,1010000
-8079100640,12/1/14,4,2.5,2160,7000,2,0,0,4,9,2160,0,1989,0,98029,47.5659,-122.013,2300,7440,653000
-6662000070,5/14/14,4,2.25,2060,5649,1,0,0,5,8,1360,700,1941,0,98199,47.6496,-122.407,2060,5626,715000
-1928300640,8/28/14,3,1.75,1410,4080,1.5,0,0,4,7,1410,0,1927,0,98105,47.6695,-122.32,1820,4080,541000
-7888100240,12/9/14,4,1.5,1850,7547,1.5,0,0,4,7,1850,0,1960,0,98198,47.3714,-122.309,1730,7577,245000
-3034200516,2/17/15,2,1,1370,10038,1.5,0,0,4,7,1370,0,1922,0,98133,47.719,-122.339,1610,8822,547000
-7504000510,4/2/15,5,2.75,3330,12408,1,0,0,3,10,1740,1590,1976,0,98074,47.6318,-122.058,2780,12000,750000
-9141100070,1/26/15,5,2.5,1970,12375,1,0,0,3,8,1570,400,1959,0,98133,47.7412,-122.354,1970,8941,575000
-921059200,8/13/14,3,1.75,1310,8670,1,0,0,4,6,1310,0,1984,0,98092,47.3156,-122.186,2622,7191,216000
-3645100240,9/22/14,3,1.75,1640,4579,1,0,0,4,6,1640,0,1916,0,98133,47.7061,-122.352,1580,5040,443000
-4123800260,11/3/14,4,2.25,1600,6202,2,0,0,4,7,1600,0,1986,0,98038,47.3784,-122.046,1530,6298,257700
-7334401000,4/14/15,3,1,1230,9440,1,0,0,3,7,1230,0,1978,0,98045,47.4657,-121.747,1230,10296,278000
-2111010890,11/5/14,3,2.5,2240,3691,2,0,0,3,7,2240,0,2003,0,98092,47.3364,-122.169,2619,3691,300000
-4137070830,2/13/15,3,2.5,2190,7904,2,0,0,3,8,2190,0,1995,0,98092,47.2617,-122.21,2190,7669,269100
-7283900036,8/18/14,3,1,990,10752,1.5,0,0,4,7,990,0,1929,0,98133,47.7648,-122.35,1820,7600,402500
-345700340,6/10/14,2,1.5,1010,7719,2,0,0,3,7,1010,0,1981,0,98056,47.5128,-122.189,1210,7719,306888
-4178300070,12/26/14,4,2.5,2920,14210,2,0,0,4,10,2920,0,1978,0,98007,47.6196,-122.15,2840,13702,795000
-3342103228,8/4/14,4,2.5,2310,5573,2,0,0,4,9,2310,0,2003,0,98056,47.5197,-122.2,2310,6189,525000
-5451300105,7/20/14,3,2.5,3470,12076,2,0,3,3,10,2560,910,1988,0,98040,47.5319,-122.238,3590,17677,1050000
-5249803645,8/29/14,2,1,1220,6000,1,0,0,3,6,880,340,1938,0,98118,47.5647,-122.27,1220,6840,452000
-7326200030,4/13/15,3,2.25,1550,5401,2,0,0,3,7,1550,0,2000,0,98019,47.737,-121.967,1740,4485,350000
-7227502075,4/9/15,4,2.5,2070,6180,2,0,0,3,8,2070,0,2007,0,98056,47.4915,-122.183,1250,6018,410000
-7011200160,11/13/14,3,1.75,2060,3600,1.5,0,0,3,7,1180,880,1905,1985,98119,47.6389,-122.371,1730,2475,595000
-7202340390,4/7/15,3,2.5,1690,4851,2,0,0,3,7,1690,0,2004,0,98053,47.6795,-122.034,2330,4851,499000
-5412100240,10/22/14,4,2.5,2550,7555,2,0,0,3,8,2550,0,2001,0,98001,47.2614,-122.29,2550,6800,340000
-1245000685,6/25/14,5,3.25,3370,7947,2,0,0,3,10,3370,0,2001,0,98033,47.6906,-122.202,2040,7900,1070000
-3222059187,5/28/14,4,3,2230,52983,2,0,0,3,8,2230,0,1991,0,98030,47.3577,-122.195,2060,8755,460000
-1822500270,8/19/14,4,2.5,2382,5899,2,0,0,3,8,2382,0,2011,0,98003,47.2793,-122.295,2382,5897,345000
-2310010270,2/18/15,3,2.25,1620,7566,2,0,0,3,7,1620,0,1990,0,98038,47.3566,-122.039,1470,7566,280500
-9547204930,2/25/15,3,1,1140,6120,1.5,0,0,3,7,1140,0,1926,0,98115,47.6822,-122.309,1800,4080,704000
-8137500400,10/7/14,3,2.5,2140,40173,2,0,0,4,8,2140,0,1990,0,98027,47.4786,-122.066,2380,43016,545000
-3343901242,8/7/14,3,1.5,1900,7584,1,0,0,5,7,1900,0,1962,0,98056,47.5091,-122.19,1410,7584,335000
-486000510,5/23/14,4,3,3370,7920,1,0,3,3,10,1860,1510,1988,0,98117,47.6773,-122.403,2730,7380,1330000
-537000075,8/11/14,3,2.75,2300,8000,1,0,0,3,7,1430,870,1965,0,98003,47.3293,-122.306,2070,10200,420000
-3544400045,2/20/15,4,2,2040,5050,1,0,0,5,7,1160,880,1937,0,98115,47.6885,-122.324,2040,5050,705000
-9211520400,11/4/14,4,1.75,1840,10528,1,0,0,3,7,1210,630,1990,0,98023,47.2987,-122.385,1620,9331,274900
-2738600140,5/2/14,4,2.5,2860,3345,2,0,0,3,8,2190,670,2004,0,98072,47.7735,-122.158,2860,3596,499950
-3073500111,3/18/15,3,1.5,1400,7550,1,0,0,4,7,1400,0,1953,0,98133,47.7566,-122.337,1730,7562,415250
-7889000160,3/17/15,3,1,990,7520,1,0,0,4,7,990,0,1958,0,98002,47.285,-122.207,990,7440,222000
-1422059129,8/14/14,3,2,3120,42247,1,0,0,4,7,2150,970,1980,0,98042,47.3925,-122.137,2100,43416,375000
-9430000070,4/30/15,3,2.5,1640,5707,2,0,0,3,7,1640,0,1995,0,98031,47.4016,-122.209,1850,5827,300000
-2518400046,11/18/14,3,1.75,2820,8879,1,0,0,5,7,1540,1280,1920,1957,98146,47.5094,-122.376,1640,7850,456700
-1315300070,3/19/15,3,2.75,1970,5200,1.5,0,3,3,8,1970,0,1915,2002,98136,47.5374,-122.388,2140,5200,925500
-1081330030,7/23/14,5,2.5,2840,15598,1,0,0,4,8,1470,1370,1975,0,98059,47.4693,-122.117,2570,14930,375000
-4397010140,10/14/14,3,2.5,2370,15375,2,0,2,3,9,2370,0,1993,0,98042,47.3803,-122.147,2450,9800,420000
-8564700240,10/17/14,3,2.5,2610,7301,2,0,0,3,8,2610,0,2004,0,98072,47.7614,-122.139,2460,7181,575000
-597000566,4/28/15,3,2,1340,1951,1,0,0,3,6,670,670,1915,0,98144,47.5763,-122.309,1520,2248,335000
-9828202030,2/18/15,4,2,1300,7200,1,0,0,3,7,1300,0,1958,0,98122,47.6169,-122.294,1540,6600,428000
-7214711260,10/1/14,4,2.5,3340,34238,1,0,0,4,8,2060,1280,1977,0,98077,47.7654,-122.076,2400,36590,655000
-5569620550,6/27/14,3,3,2630,4896,2,0,0,3,9,2630,0,2006,0,98052,47.6932,-122.133,2880,4972,738000
-6145601890,8/19/14,5,1.75,1960,3748,1,0,0,3,7,980,980,1965,0,98133,47.7027,-122.349,1410,3844,415000
-9269200831,8/25/14,3,1,1090,6125,1,0,0,4,6,790,300,1945,0,98126,47.5343,-122.37,1050,6125,392000
-6021502470,11/6/14,2,1,1550,4600,1,0,0,4,7,1050,500,1941,0,98117,47.686,-122.384,1550,4600,555000
-646910560,3/6/15,3,2.5,1770,2677,2,0,0,3,7,1770,0,2005,0,98055,47.4339,-122.194,1550,1798,260000
-2475900565,3/9/15,3,1,1390,10500,1.5,0,0,3,6,1390,0,1940,0,98024,47.567,-121.893,1350,9800,392500
-4139430810,8/1/14,3,2.5,2979,17313,2,0,2,3,11,2979,0,1993,0,98006,47.5503,-122.118,3890,14797,912000
-2586800140,11/18/14,2,1,830,7609,1,0,0,3,6,830,0,1943,0,98146,47.5057,-122.348,1170,7609,135000
-226059121,8/13/14,3,2.75,1560,77536,1,0,0,3,7,1400,160,1978,0,98072,47.7695,-122.126,2210,41449,500000
-7696610270,12/29/14,3,1.5,1360,7488,1,0,0,4,7,1050,310,1975,0,98001,47.3314,-122.275,1580,7508,238000
-4279900140,10/1/14,4,2,1650,5974,1,0,0,5,7,860,790,1972,0,98178,47.5008,-122.257,1940,6001,251000
-5422560810,7/14/14,2,1.75,1510,5319,2,0,0,4,8,1510,0,1978,0,98052,47.6647,-122.13,1740,6160,406500
-1657300270,3/12/15,4,2.25,3010,10925,2,0,0,4,9,3010,0,1988,0,98092,47.3326,-122.201,2690,10925,433495
-8648210140,12/24/14,3,2.25,1510,6071,1,0,0,4,7,1150,360,1985,0,98042,47.3619,-122.077,1510,7271,265000
-3034200247,2/6/15,3,1.75,1950,7260,1,0,0,3,8,1520,430,1957,0,98133,47.7187,-122.33,1950,7548,360000
-2204500550,7/17/14,4,1,1800,12485,1,0,0,5,7,950,850,1955,0,98006,47.5729,-122.147,1290,9840,425000
-7390400069,3/27/15,2,2.75,2810,11205,1,0,0,3,7,1510,1300,1968,0,98178,47.4869,-122.243,2520,13000,450000
-1077100070,3/16/15,3,1.75,1760,8266,1,0,0,5,7,1760,0,1954,0,98133,47.7708,-122.339,1400,8519,449900
-423059360,10/17/14,4,2.5,2040,5875,2,0,0,3,8,2040,0,2004,0,98056,47.5051,-122.17,2230,5459,345000
-3316500200,10/9/14,4,2,1690,35346,1,0,0,3,7,1690,0,1967,0,98008,47.6149,-122.124,2050,37846,612500
-1328300990,8/5/14,3,1.75,1530,7650,1,0,0,4,8,1530,0,1977,0,98058,47.4435,-122.128,1850,6804,317000
-4443800505,5/7/15,3,1.5,1810,3880,1.5,0,0,4,8,1310,500,1929,0,98117,47.6835,-122.392,1400,3880,585000
-7327500200,6/18/14,3,1.75,1180,14292,1,0,0,3,7,1180,0,1981,0,98045,47.4818,-121.733,1480,14400,455000
-4054510310,12/1/14,4,4,4090,51908,2,0,0,3,11,4090,0,1991,0,98077,47.7226,-122.039,4290,41655,1040000
-7525100060,8/20/14,4,2.25,2250,3463,2,0,0,4,8,2250,0,1968,0,98052,47.6324,-122.106,1850,2811,497000
-3065600270,4/22/15,3,1.75,1070,6315,1,0,0,3,7,1070,0,1992,0,98023,47.2803,-122.356,1520,5707,226750
-2881700273,8/19/14,4,2,1820,7102,1,0,0,3,7,1220,600,1950,0,98155,47.7447,-122.324,1650,8184,385000
-7889600685,12/11/14,3,0.75,1080,5025,1,0,0,3,5,1080,0,1948,0,98146,47.4936,-122.335,1370,6000,205000
-1137500070,9/29/14,4,2.5,2760,13093,2,0,0,4,9,2760,0,1989,0,98075,47.5845,-122.06,2810,13545,745000
-5104530810,6/20/14,4,2.5,2550,4770,2,0,0,3,8,2550,0,2005,0,98038,47.3526,-122,2380,4590,371000
-3905060070,8/29/14,4,2.5,2080,8504,2,0,0,3,8,2080,0,1991,0,98029,47.5703,-121.998,2000,6773,545000
-6450302545,5/8/15,3,1,1280,5460,1.5,0,0,4,7,1280,0,1931,0,98133,47.7321,-122.334,1390,5500,443000
-7972602435,3/18/15,2,1,950,6350,1,0,0,3,7,950,0,1951,0,98106,47.528,-122.352,1080,7620,287000
-5423500240,6/24/14,3,1,1050,7577,1,0,0,3,7,1050,0,1983,0,98023,47.2891,-122.357,1430,7245,194000
-8074200160,6/29/14,3,1,1800,7650,1,0,0,5,7,1800,0,1957,0,98056,47.4922,-122.178,1230,7650,265000
-3317500070,4/8/15,4,2.75,3840,10004,1,0,2,4,9,2110,1730,1963,0,98040,47.5606,-122.225,3500,12118,1140000
-6119700030,5/8/15,4,3.25,3674,12793,2,0,1,3,9,3674,0,1987,0,98166,47.4357,-122.343,3220,13100,699950
-2568800160,10/15/14,4,1,1710,7000,1.5,0,0,3,7,1710,0,1950,0,98125,47.7037,-122.293,2030,7938,433000
-2781250520,10/16/14,2,1.75,910,2693,1,0,0,3,6,910,0,2003,0,98038,47.3493,-122.025,1360,2693,200000
-7230200310,4/9/15,3,1.5,1340,25160,1,0,0,3,7,1340,0,1968,0,98059,47.475,-122.111,1440,23680,289571
-4400900030,6/2/14,4,2.75,2340,11034,1,0,0,3,8,1720,620,1967,0,98155,47.7686,-122.278,2370,11941,440000
-4038300070,11/13/14,3,1.5,1510,8360,1,0,0,3,7,1120,390,1960,0,98007,47.6119,-122.133,1700,8360,400000
-5706000070,10/14/14,4,2.5,2630,15000,2,0,0,5,8,2630,0,1962,0,98027,47.5262,-122.028,1770,8700,589000
-825069078,3/24/15,5,2.25,3100,97661,2,0,0,3,9,3100,0,1986,0,98053,47.6624,-122.062,2370,53993,850000
-363000045,1/2/15,3,1,940,3000,1.5,0,0,3,7,940,0,1903,0,98122,47.6033,-122.3,1210,3500,520000
-1912100875,4/23/15,2,2.25,1370,1248,2,0,0,3,7,1200,170,2000,0,98102,47.6399,-122.32,1800,3360,555000
-7853230200,3/9/15,3,2.5,2480,5082,2,0,0,3,7,2480,0,2004,0,98065,47.5297,-121.846,2480,5874,470000
-9406500350,12/29/14,2,1.5,1068,1158,2,0,0,3,7,1068,0,1990,0,98028,47.753,-122.244,1078,1278,207000
-5152960350,11/13/14,4,2.75,2390,9650,1,0,2,3,8,1620,770,1976,0,98003,47.3438,-122.322,2390,10000,379750
-6021500320,5/7/15,4,1.75,2170,4600,1,0,0,3,7,1270,900,1950,0,98117,47.6894,-122.384,1750,4000,709000
-7137910140,9/23/14,3,2.5,1520,9864,1,0,0,3,7,1160,360,1993,0,98092,47.3186,-122.171,1580,7425,240000
-6117500955,2/4/15,4,1.5,2210,10497,1,0,0,4,8,1650,560,1953,0,98166,47.4321,-122.347,1840,12697,445500
-269001331,9/9/14,5,2.5,3200,7863,1,0,3,5,8,1600,1600,1959,0,98199,47.6398,-122.39,2640,7680,1310000
-1023059190,3/24/15,3,1.5,1160,10125,1,0,0,4,7,1160,0,1959,0,98059,47.4919,-122.151,1440,10018,210000
-8961970560,8/11/14,4,2.5,2670,5895,2,0,0,3,8,2670,0,1999,0,98074,47.6066,-122.016,2820,6531,603000
-3066400710,4/7/15,3,2.5,2520,10012,2,0,0,3,10,2520,0,1987,0,98074,47.6295,-122.051,2680,10071,720000
-795000765,6/16/14,2,1,760,5500,1.5,0,0,3,5,760,0,1947,0,98168,47.5045,-122.329,1040,5515,92000
-2767603535,1/26/15,3,1.75,1310,5000,2,0,0,4,7,1310,0,1901,0,98107,47.6722,-122.379,1270,4750,600000
-7774200070,4/8/15,4,2.5,2750,13950,1,0,3,4,8,1380,1370,1948,0,98146,47.4938,-122.364,2460,13950,725000
-4029400140,12/10/14,5,2.25,1790,10300,1,0,0,3,7,1270,520,1961,0,98155,47.7718,-122.292,1790,10300,409950
-1954400060,5/6/14,3,2.5,1790,7167,2,0,0,3,8,1790,0,1989,0,98074,47.6176,-122.045,1680,7418,515000
-2473002650,5/12/15,4,2.5,2400,11640,1,0,0,5,8,1800,600,1968,0,98058,47.4485,-122.139,2440,10823,495000
-5451220200,6/24/14,4,2.25,2420,10200,2,0,0,4,9,2420,0,1973,0,98040,47.5336,-122.225,2390,10200,998000
-1472700200,7/9/14,3,1.75,1710,8767,1,0,0,4,8,1710,0,1986,0,98033,47.6945,-122.188,2050,9200,630000
-1661000060,8/1/14,3,1.75,2000,7480,1,0,0,3,8,1320,680,1972,0,98177,47.7734,-122.359,2000,8610,410000
-2600110710,8/19/14,3,2.25,1580,11580,1,0,0,4,8,1580,0,1979,0,98006,47.5503,-122.155,2630,10009,602000
-2600110560,11/12/14,4,2.75,2310,10232,1,0,0,5,8,1310,1000,1980,0,98006,47.5515,-122.153,2820,9886,750000
-8617000060,7/8/14,4,3,3580,9316,2.5,0,0,3,10,2370,1210,1991,0,98007,47.595,-122.133,2580,9242,711600
-8562720390,8/25/14,4,4,4320,8709,2,0,0,3,11,3190,1130,2006,0,98027,47.5369,-122.07,4010,8321,1050000
-1137300890,12/17/14,3,2.5,2560,35265,2,0,0,3,9,2560,0,1981,0,98072,47.7354,-122.095,2820,35496,700500
-4104900340,2/4/15,4,2.5,3220,18618,2,0,1,3,10,3220,0,1991,0,98056,47.5326,-122.181,2650,11896,710000
-2616700560,12/4/14,3,2,1660,13085,1,0,0,3,7,1010,650,1985,0,98001,47.3298,-122.277,1660,7778,250000
-1061500510,10/15/14,4,1.75,2420,8400,1,0,0,5,7,1620,800,1964,0,98056,47.5017,-122.165,1660,8400,350000
-6411600370,5/15/14,7,3.5,2870,29699,1,0,0,3,7,1520,1350,1961,0,98125,47.7153,-122.327,1380,7555,475000
-4154302075,1/16/15,2,1,830,7200,1,0,0,2,6,830,0,1920,0,98118,47.5604,-122.275,1150,6600,200000
-1727500390,10/30/14,4,2.25,1710,7000,1,0,0,4,7,1040,670,1972,0,98034,47.719,-122.217,1780,6500,450000
-2538410260,8/1/14,5,2.5,2600,4641,2,0,0,3,7,2600,0,2005,0,98058,47.4325,-122.146,2330,4589,316000
-9269200520,10/16/14,1,1,670,4920,1,0,0,3,5,670,0,1920,0,98126,47.5342,-122.373,1050,4920,310000
-7334400070,2/23/15,3,1.5,1500,11975,1,0,0,4,7,1500,0,1970,0,98045,47.4658,-121.758,1510,13875,392000
-1972200696,10/6/14,3,3.25,1460,1254,3,0,0,3,8,1460,0,2000,0,98103,47.6535,-122.353,1400,1255,521000
-2267000486,8/22/14,2,2,1540,7110,1,0,0,3,7,960,580,1949,0,98117,47.6932,-122.395,1860,7065,495000
-1311800560,11/21/14,3,1.75,1250,8084,1,0,0,4,7,1250,0,1967,0,98001,47.3364,-122.276,1340,7680,209000
-9542400075,6/6/14,4,2,2230,9900,1.5,0,0,5,9,2230,0,1959,0,98005,47.5979,-122.173,2510,11041,809950
-3223069065,9/17/14,2,1.75,1800,224769,1,0,0,3,7,1420,380,1950,2008,98038,47.4327,-122.06,1620,112384,400000
-1724500030,3/12/15,4,2.5,2400,7292,1,0,0,3,8,1530,870,1980,0,98133,47.7749,-122.339,1710,7909,415000
-3751602797,7/2/14,4,2,2370,76665,2,0,0,4,8,2370,0,1978,0,98001,47.2831,-122.279,2110,19334,411000
-809002030,9/11/14,2,2,1830,3600,1,0,0,4,7,1230,600,1926,0,98109,47.6359,-122.351,2020,3600,825000
-993002127,2/23/15,3,2.25,1480,1384,3,0,0,3,8,1480,0,2008,0,98103,47.691,-122.342,1310,1329,436000
-1473120140,7/8/14,4,2.5,2620,8331,2,0,0,3,9,2620,0,1991,0,98058,47.4357,-122.159,2760,8174,460000
-7849200861,7/14/14,3,1,1300,5782,1,0,0,4,6,1300,0,1959,0,98065,47.524,-121.821,1020,7200,281000
-269000030,8/25/14,4,1.5,3120,7680,1,0,3,3,8,1660,1460,1956,0,98199,47.646,-122.39,2900,7680,976000
-2607760700,4/20/15,4,2.5,2400,10364,2,0,0,3,8,2400,0,1995,0,98045,47.4832,-121.799,2390,9918,485000
-7715801090,7/25/14,3,2.5,1430,9240,2,0,0,3,7,1430,0,1984,0,98074,47.6258,-122.058,1480,8125,429000
-1999600320,3/4/15,3,2.5,2480,7428,2,0,0,3,9,2480,0,1990,0,98006,47.5489,-122.185,2600,8322,729000
-4221250340,4/9/15,3,2.5,2280,4757,2,0,0,3,8,2280,0,2003,0,98075,47.5901,-122.018,2280,4534,625000
-3668000810,1/16/15,3,1.75,1390,9328,1,0,0,4,7,1390,0,1987,0,98092,47.2766,-122.146,1550,8374,218500
-2337300370,2/6/15,3,1,1030,8395,1,0,0,4,7,1030,0,1960,0,98023,47.3322,-122.337,1370,9380,175000
-1453602065,2/5/15,3,1,1120,8200,1,0,0,4,7,1120,0,1938,0,98125,47.7254,-122.29,1820,7205,442500
-3359500960,3/21/15,3,2,1300,3000,2,0,0,3,7,1300,0,1986,0,98115,47.6728,-122.325,1670,4500,480000
-6133100125,10/8/14,3,2.25,2410,9668,1,0,1,4,8,1540,870,1965,0,98117,47.6996,-122.391,2510,5250,715500
-8562600260,11/20/14,3,1.75,1470,7350,1,0,0,3,8,1470,0,1963,0,98052,47.6687,-122.154,1470,7350,432500
-2325069032,7/31/14,5,4.25,4720,18741,2,0,0,3,11,3210,1510,2005,0,98053,47.6347,-122.013,3880,37328,875000
-1223039235,11/14/14,5,2.75,2910,13332,2,0,0,4,8,2910,0,1940,1991,98146,47.4977,-122.359,1760,8900,605000
-4139480350,1/13/15,4,4,5000,12941,3,0,2,3,12,5000,0,2002,0,98006,47.55,-122.103,4560,12941,1690000
-3348401382,2/10/15,3,2.25,1690,12662,1,0,0,5,7,1090,600,1982,0,98178,47.4972,-122.264,1950,9642,318000
-164000267,10/16/14,2,1,1000,7228,1,0,0,4,7,1000,0,1947,0,98133,47.7294,-122.352,1100,7228,311300
-1099900030,4/15/15,5,2.75,2400,7904,1,0,0,3,7,1450,950,1992,0,98188,47.4683,-122.263,2400,7475,325000
-4139700260,11/17/14,5,3.5,3330,3705,2,0,0,3,9,2610,720,2008,0,98006,47.5567,-122.124,2810,3971,795000
-6071800310,6/19/14,4,2.25,2060,10358,1,0,0,4,8,1320,740,1962,0,98006,47.5478,-122.174,2060,9676,558000
-1321720140,5/28/14,4,2.5,3090,18645,2,0,0,3,9,3090,0,1995,0,98023,47.2902,-122.342,3610,20114,370000
-8078460320,11/18/14,4,2.5,2350,7245,2,0,0,3,8,2350,0,1993,0,98074,47.6318,-122.023,2350,9419,598850
-6388930570,10/23/14,3,2.5,2180,9722,2,0,0,3,8,2180,0,1994,0,98056,47.527,-122.173,2440,9722,515700
-3709500060,6/20/14,3,2.5,1870,5013,2,0,0,3,8,1870,0,2003,0,98011,47.7552,-122.221,2040,5555,458000
-5469500640,2/24/15,3,2.25,3530,13000,2.5,0,0,4,10,3530,0,1985,0,98042,47.3823,-122.159,2960,13000,583500
-293910070,7/23/14,4,2.5,2460,4166,2,0,0,3,9,2460,0,2003,0,98034,47.7072,-122.232,2460,4964,653750
-3158500340,7/11/14,3,2.5,1650,4725,2,0,0,3,8,1650,0,2011,0,98038,47.3548,-122.055,2000,4725,299000
-2617300200,5/9/14,5,3,3480,57499,1,0,0,4,8,2340,1140,1976,0,98027,47.4574,-122.024,2020,40946,532000
-521049200,7/8/14,3,2.75,3176,13391,2,0,3,4,9,2726,450,1985,0,98198,47.3429,-122.33,3470,12779,819000
-7779200105,7/18/14,4,2.25,2420,9000,1,0,4,5,9,2000,420,1967,0,98146,47.4884,-122.363,2400,9035,945000
-8651500710,11/6/14,4,2.5,2260,9696,1,0,0,3,9,2260,0,1983,0,98074,47.643,-122.066,2400,12111,608700
-871000435,5/9/15,4,2,2380,6122,1,0,2,4,8,1310,1070,1949,0,98199,47.6506,-122.405,1810,5202,812000
-217500140,5/13/14,5,2.5,3400,8970,1,0,0,4,8,1700,1700,1959,0,98133,47.7358,-122.335,1890,8475,464000
-9290850810,6/13/14,4,2.5,3770,35081,2,0,0,3,10,3770,0,1989,0,98053,47.6908,-122.051,4000,35492,950000
-6844700510,12/3/14,4,2.5,2672,4297,2,0,0,3,8,2020,652,2005,0,98115,47.6955,-122.289,1720,6120,700000
-1232001040,10/16/14,3,1,1180,4219,1,0,0,3,7,1060,120,1939,0,98117,47.6867,-122.378,1630,4219,435000
-3751601171,10/7/14,3,1.5,1810,14400,1,0,0,4,7,1810,0,1954,0,98001,47.2887,-122.269,1710,12000,229500
-6117502220,11/17/14,3,3,2610,22672,1.5,1,4,4,8,2610,0,1952,0,98166,47.4414,-122.354,2810,22672,1580000
-4322300140,11/3/14,3,2.25,1450,13439,1,0,0,4,7,1180,270,1963,0,98003,47.2811,-122.299,1520,12348,265000
-1526059051,8/28/14,2,2,1600,64468,1,0,0,3,7,1600,0,1950,0,98072,47.7344,-122.143,1950,64468,995000
-3800000160,7/9/14,3,2.5,2650,9380,1,0,0,5,8,1680,970,1975,0,98155,47.7756,-122.273,2310,9600,590000
-1454600116,6/11/14,4,2.75,2490,17833,2,0,2,3,9,1490,1000,1979,0,98125,47.7206,-122.284,2640,16943,740000
-4174600055,5/21/14,2,0.75,850,7710,1,0,2,5,6,550,300,1909,0,98108,47.5588,-122.301,2500,6022,360000
-2594200566,4/6/15,4,2,1820,7200,1,0,0,3,7,1300,520,1976,0,98136,47.5161,-122.388,1770,8149,548500
-8825900465,5/7/14,3,1.75,1960,4788,1,0,0,4,7,1090,870,1920,0,98115,47.6746,-122.312,1960,3960,599000
-8562900310,6/13/14,3,1.75,2350,20820,1,0,0,4,8,1800,550,1978,0,98074,47.6095,-122.059,2040,10800,615000
-1446401555,12/8/14,3,1.75,1320,6600,1,0,0,3,7,1320,0,1988,0,98168,47.4838,-122.33,1070,6594,292000
-3528000140,10/23/14,4,2.5,3720,30649,2,0,0,3,10,3720,0,1988,0,98053,47.6651,-122.056,3220,29434,899000
-7625704500,12/8/14,3,1.5,2210,6500,1,0,0,4,7,1030,1180,1912,0,98136,47.5434,-122.388,1750,6370,500000
-3575302397,11/13/14,3,2.5,1910,11550,1.5,0,0,3,8,1910,0,2003,0,98074,47.6213,-122.064,2230,11550,580000
-6190500340,5/9/14,4,2.5,2840,6268,2,0,0,3,9,2840,0,1998,0,98028,47.7386,-122.235,2790,6526,580000
-475000510,11/18/14,3,1,1320,5000,1,0,0,4,7,1090,230,1920,0,98107,47.6674,-122.365,1700,5000,594000
-7199340320,4/9/15,3,2.5,2440,7600,1,0,0,3,7,1420,1020,1981,0,98052,47.6966,-122.127,2060,7700,500000
-3904940140,10/6/14,4,2.5,2420,8056,1,0,0,3,8,1680,740,1988,0,98029,47.5748,-122.013,2160,6807,550000
-2310030390,4/29/15,3,1.75,1180,6260,1,0,0,4,8,1180,0,1993,0,98038,47.3531,-122.048,1580,7272,275000
-2591800340,4/30/15,3,2.25,1820,7420,2,0,0,4,8,1820,0,1983,0,98058,47.4368,-122.162,1900,7526,390000
-3505100126,6/26/14,3,3,3760,8500,2.5,0,3,4,10,3060,700,1910,0,98116,47.5815,-122.398,2610,5500,1250000
-3361401977,8/26/14,3,2.25,1560,15340,2,0,0,3,7,1560,0,1997,0,98168,47.4989,-122.322,1560,8260,250000
-5422570260,9/29/14,2,2.5,1790,5400,2,0,0,4,8,1790,0,1979,0,98052,47.6606,-122.128,1700,5760,405000
-100600320,8/13/14,3,1,1430,7000,1,0,0,3,6,1430,0,1968,0,98023,47.3018,-122.369,1050,7700,213950
-8099200030,12/22/14,3,1.5,1390,11340,1,0,0,4,7,1390,0,1963,0,98031,47.3984,-122.186,1740,11340,232000
-7140600055,4/11/15,3,1,990,10800,1,0,0,4,6,990,0,1959,0,98002,47.293,-122.215,1060,10364,207000
-3422049276,12/11/14,3,1.75,1880,30346,1,0,0,3,8,1880,0,1988,0,98001,47.3515,-122.291,2260,5883,310000
-3157600240,9/3/14,3,2.5,2520,5000,3,0,0,3,9,2520,0,1990,0,98106,47.5664,-122.359,1130,5000,540000
-91000135,5/7/15,4,1.5,2060,4000,1.5,0,2,3,7,1580,480,1920,1990,98103,47.6857,-122.353,1160,4000,750000
-423059369,6/4/14,4,2.5,2150,7303,2,0,0,3,8,2150,0,2005,0,98056,47.5109,-122.183,1940,9569,392500
-5152000030,2/4/15,5,2.5,2500,12220,1,0,0,3,8,1690,810,1962,0,98003,47.3335,-122.325,2130,12000,305000
-7732300390,5/23/14,3,2.5,2390,9157,2,0,0,3,9,2390,0,1984,0,98052,47.6617,-122.15,2360,8250,735000
-1954430390,7/7/14,4,2.5,2400,6137,2,0,0,3,8,2400,0,1990,0,98074,47.6187,-122.04,2120,7468,575000
-7891600260,6/18/14,2,1,660,5000,1,0,0,3,6,660,0,1915,0,98106,47.5664,-122.364,1000,5000,175000
-2329800140,12/3/14,4,2.5,1580,6633,2,0,0,4,7,1580,0,1984,0,98042,47.3768,-122.118,1590,6633,291000
-8653900070,8/4/14,4,2.5,3250,8970,2,0,0,3,10,3250,0,1994,0,98075,47.5862,-122.037,3240,8449,791500
-7740500070,7/10/14,3,2,1880,9659,1,0,0,3,8,1180,700,1951,0,98155,47.7497,-122.284,1780,9659,475000
-3352401090,11/13/14,2,1,1190,11400,1,0,0,3,7,1190,0,1951,0,98178,47.5012,-122.265,1410,11400,238950
-2767704756,10/20/14,3,3.5,1280,1257,2,0,0,3,8,1040,240,2000,0,98107,47.6721,-122.374,1280,1249,470000
-7504400710,4/27/15,4,1.75,2380,15324,1,0,0,3,8,1610,770,1978,0,98074,47.6262,-122.049,2540,12608,420000
-7787100390,4/20/15,3,2.5,2040,7605,2,0,0,3,8,2040,0,1996,0,98045,47.4876,-121.779,2150,7545,440000
-4240400140,8/20/14,4,1.75,1440,4300,1.5,0,0,4,8,1290,150,1929,0,98117,47.6846,-122.372,1640,5000,656000
-7202270570,7/14/14,3,2.5,2120,4310,2,0,0,3,7,2120,0,2001,0,98053,47.687,-122.037,2280,4380,559950
-3037200045,11/13/14,2,2,990,5416,1,0,0,3,6,990,0,1935,0,98122,47.604,-122.311,1650,3360,600000
-3750605247,8/4/14,3,1,1710,12000,1,0,0,4,7,1710,0,1972,0,98001,47.2616,-122.281,1310,9600,255000
-7972604425,4/1/15,4,1.5,1840,7076,1.5,0,0,3,7,1840,0,1957,0,98106,47.5185,-122.345,1510,7320,210750
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-2787311480,9/29/14,3,1.75,1570,7416,1,0,0,4,7,1570,0,1971,0,98031,47.4117,-122.174,1900,7416,253000
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-2525300200,5/15/14,3,1,1160,10384,1,0,0,4,6,1160,0,1969,0,98038,47.3634,-122.027,1200,9880,215000
-7732500270,9/25/14,4,2.5,2820,15000,2,0,0,4,9,2820,0,1985,0,98052,47.7255,-122.101,2440,15000,650000
-5700001920,2/19/15,4,2,3060,8000,2,0,0,4,8,2040,1020,1922,0,98144,47.5795,-122.29,2730,5800,877500
-5560000640,6/19/14,3,1,1320,8450,1,0,0,3,6,880,440,1961,0,98023,47.3278,-122.337,1320,8450,232500
-2781250560,12/2/14,2,2,1200,3624,2,0,0,3,6,1200,0,2003,0,98038,47.349,-122.025,1360,2693,234000
-1122059037,4/13/15,3,1.75,1560,104108,1,0,0,3,7,1250,310,1970,0,98042,47.4016,-122.131,2000,110957,380000
-5515600163,9/16/14,5,2.25,3070,64033,1,0,0,3,9,2730,340,1983,0,98001,47.3238,-122.292,1560,28260,420000
-8807300570,12/29/14,3,1,1040,9600,1,0,0,3,7,1040,0,1978,0,98053,47.6738,-122.063,1370,10889,399950
-9412700550,5/21/14,3,2.5,1990,8991,1,0,0,3,7,1570,420,1969,0,98042,47.3939,-122.164,1920,8991,256750
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-8857320030,11/7/14,3,2,1810,2738,2,0,0,4,9,1810,0,1979,0,98008,47.6112,-122.115,1760,2754,515000
-685000160,2/12/15,4,1.75,2520,8442,1,0,0,4,7,1640,880,1953,0,98004,47.6317,-122.205,2110,8442,770000
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-9144100126,8/21/14,3,1,1680,8910,1,0,0,4,7,1680,0,1940,0,98117,47.7011,-122.375,1620,7182,489900
-7149410060,8/20/14,3,1.5,1250,7200,1,0,0,4,7,1250,0,1978,0,98032,47.3678,-122.282,1250,7560,165000
-3388000640,3/18/15,3,1.5,1280,7742,1,0,0,4,7,1280,0,1962,0,98031,47.3947,-122.197,1450,8316,220000
-1321700030,6/24/14,4,2.5,4620,20793,2,0,0,4,11,4620,0,1991,0,98023,47.2929,-122.342,3640,20793,575000
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-3971700903,1/22/15,3,1.75,1650,7145,2,0,0,5,8,1300,350,1977,0,98155,47.7733,-122.324,1760,7206,422250
-6804600260,6/3/14,3,1.75,1660,9600,1,0,0,3,8,1380,280,1981,0,98011,47.7601,-122.167,2030,9500,420000
-8078460520,9/23/14,4,2.5,2410,7140,2,0,0,3,8,2410,0,1993,0,98074,47.6329,-122.021,2350,7140,608000
-2436700800,5/16/14,3,2.25,1720,4000,1.5,0,0,4,7,1450,270,1921,0,98105,47.6683,-122.286,1410,4000,620000
-2592210510,2/17/15,3,2.5,3120,12406,2,0,2,3,9,1940,1180,1983,0,98006,47.5507,-122.141,3240,13141,850000
-9414610320,1/16/15,4,2.5,2680,9928,1,0,0,4,8,1340,1340,1974,0,98027,47.5219,-122.052,2180,10478,463000
-7567600030,1/27/15,5,1.75,2640,13290,1,1,4,4,8,1400,1240,1954,0,98178,47.5022,-122.223,2400,11942,750000
-624110810,3/25/15,3,3.25,3730,13264,2,0,0,3,9,3730,0,1989,0,98077,47.7246,-122.059,3730,14933,1070000
-4123800400,9/9/14,3,2,1700,6498,1,0,0,3,7,1700,0,1986,0,98038,47.3781,-122.044,1700,6654,290000
-9424400105,7/10/14,4,1.75,2280,5959,1,0,0,3,7,1250,1030,1947,0,98116,47.5655,-122.395,1640,5911,525000
-7941130140,2/17/15,3,2.25,1220,2980,2,0,0,3,7,1220,0,1986,0,98034,47.7151,-122.203,1220,2140,319000
-1568100295,2/2/15,6,4.5,3500,8504,2,0,0,3,7,3500,0,1980,0,98155,47.7349,-122.295,1550,8460,592500
-6683000295,5/13/14,3,2.5,2010,14298,2,0,0,3,7,2010,0,1977,0,98070,47.5069,-122.472,2010,14298,350000
-5710610520,2/26/15,3,1.75,2130,9775,1,0,0,4,8,1430,700,1973,0,98027,47.5326,-122.049,2130,11250,454900
-1565900390,4/15/15,4,2.25,1800,9018,2,0,0,3,7,1800,0,1992,0,98022,47.2126,-121.984,1670,9380,272000
-6608500260,7/16/14,3,1,1070,10125,1,0,0,3,7,1070,0,1961,0,98033,47.7012,-122.167,1540,10200,357500
-7338401230,8/28/14,3,1.75,1020,5000,1,0,0,5,6,1020,0,1954,0,98118,47.5332,-122.29,1360,5000,285000
-7212660520,3/26/15,4,2,1600,6861,1,0,0,3,7,1600,0,1994,0,98003,47.2701,-122.313,1870,7455,280000
-8901001290,9/3/14,4,1.5,1380,7800,1,0,0,3,7,1080,300,1928,0,98125,47.7093,-122.306,1770,7503,477000
-3345100030,7/22/14,3,2.25,3270,168000,2,0,0,4,10,3270,0,1982,0,98056,47.5197,-122.191,3220,7963,750000
-7986401275,11/19/14,4,2.5,2100,3125,2,0,2,3,7,1400,700,1907,1993,98107,47.6634,-122.358,2060,5040,595000
-3047700045,7/17/14,3,2.25,2110,2850,3,0,0,3,8,2110,0,2001,0,98103,47.6915,-122.339,1340,5001,525000
-1422029117,7/11/14,3,1.75,1640,53400,1,0,0,4,7,1640,0,1966,0,98070,47.3944,-122.506,1850,380279,319000
-104530240,8/27/14,3,2,1320,5665,1,0,0,3,7,1320,0,1986,0,98023,47.3096,-122.357,1336,7080,225000
-8718500260,7/23/14,4,2.5,2420,10603,1,0,0,5,7,1210,1210,1958,0,98028,47.7397,-122.259,1750,10800,485000
-3735901040,7/3/14,3,1,1390,4814,1.5,0,0,3,6,1390,0,1908,0,98115,47.6881,-122.32,1730,3990,341000
-3448002180,1/16/15,3,3.25,2320,6744,2,0,0,3,9,1930,390,2014,0,98125,47.7132,-122.293,1700,6744,674000
-5126300960,1/27/15,3,2.5,2170,8169,2,0,0,3,8,2170,0,2003,0,98059,47.4833,-122.139,2240,6733,442250
-1774220400,5/13/14,4,2.25,2710,38180,2,0,0,4,8,2710,0,1977,0,98077,47.77,-122.097,2590,38180,591000
-8648100030,11/13/14,3,2,1450,8928,1,0,0,3,7,1450,0,1998,0,98042,47.3637,-122.075,2050,8523,276000
-7940710070,8/22/14,3,2.5,1370,4400,1,0,0,3,8,1370,0,1988,0,98034,47.7139,-122.203,1630,4400,394000
-1518000070,11/19/14,3,2.5,1810,3192,1,0,0,3,7,1070,740,2001,0,98019,47.7364,-121.969,1740,3720,355000
-3832500260,5/9/14,3,2.5,1420,14850,1,0,0,4,7,1020,400,1963,0,98032,47.3661,-122.29,2060,8800,260000
-1139600270,7/1/14,3,2.75,2090,9620,1,0,0,3,8,1340,750,1987,0,98023,47.2741,-122.337,2150,9660,300000
-1139600270,3/24/15,3,2.75,2090,9620,1,0,0,3,8,1340,750,1987,0,98023,47.2741,-122.337,2150,9660,310000
-1099610830,12/2/14,3,1,1330,6900,1,0,0,3,7,1330,0,1976,0,98023,47.3033,-122.381,1530,7000,209000
-5647000060,12/11/14,3,2,1330,7419,1,0,0,3,7,1330,0,1985,0,98034,47.7322,-122.236,1330,7297,344950
-3352402272,6/11/14,5,2,1910,7200,1,0,0,4,6,1110,800,1951,0,98178,47.4975,-122.261,1150,5948,230000
-6669020640,4/24/15,3,1.75,2310,7680,1,0,0,4,8,1410,900,1978,0,98032,47.3743,-122.285,2080,7680,336950
-6154900070,6/11/14,3,2.75,2500,7378,1,0,0,5,7,1390,1110,1948,0,98177,47.7032,-122.37,2040,7140,700000
-1545802080,9/4/14,3,2,1310,7332,1,0,0,3,7,1310,0,1987,0,98038,47.3597,-122.051,1530,7362,230000
-8161020060,6/20/14,4,2.5,2040,21781,2,0,0,3,8,2040,0,1994,0,98014,47.6458,-121.904,2410,21781,443500
-8161020060,4/14/15,4,2.5,2040,21781,2,0,0,3,8,2040,0,1994,0,98014,47.6458,-121.904,2410,21781,471000
-443000060,12/10/14,3,2.25,2400,16301,1,0,0,3,8,1400,1000,1962,0,98115,47.6901,-122.282,1720,9828,595000
-4172100200,11/21/14,3,1,1400,4914,1.5,0,0,3,7,1400,0,1929,0,98117,47.681,-122.364,1400,3744,470000
-7309100070,12/12/14,4,1.75,1700,7800,1,0,0,4,8,1700,0,1975,0,98052,47.651,-122.119,2430,8342,600000
-191100672,5/27/14,4,3.75,3160,9525,2.5,0,0,3,10,3160,0,1997,0,98040,47.5623,-122.221,2400,9525,1380000
-2125400160,11/14/14,3,1.75,1340,13241,1,0,2,3,7,1340,0,1985,0,98034,47.7268,-122.213,2090,9704,427800
-259800060,6/6/14,4,2,1470,8395,1,0,0,4,7,1470,0,1965,0,98008,47.631,-122.117,1760,7976,445000
-4402700125,7/16/14,3,1.75,1790,7679,1,0,0,4,7,1790,0,1953,0,98133,47.7442,-122.338,1560,7680,382000
-7504180070,11/11/14,3,1.5,1560,20251,1,0,0,5,7,1200,360,1989,0,98074,47.619,-122.054,1560,19119,577000
-2723069129,5/6/15,3,2.5,2620,108464,2,0,0,4,8,2620,0,1990,0,98038,47.4583,-122.036,3190,105850,427000
-3210400060,12/24/14,3,1,1580,8206,1,0,0,3,7,1100,480,1962,0,98198,47.3676,-122.312,1600,8196,255000
-8658301535,7/21/14,3,1,1090,10000,1,0,0,3,6,1090,0,1961,0,98014,47.6503,-121.911,1040,7500,240000
-8923100125,6/20/14,5,3.25,3240,6551,1.5,0,4,4,9,2500,740,1939,0,98115,47.6792,-122.273,2740,9300,1230000
-5592900105,2/13/15,4,1.75,2520,7200,1,0,2,5,7,1260,1260,1955,0,98056,47.4835,-122.192,2360,7300,435000
-8964800695,3/27/15,3,1.75,2230,13529,1,0,0,3,9,2230,0,1949,0,98004,47.6204,-122.217,2230,11900,1450000
-5104510860,5/6/15,4,3,2430,5502,2,0,0,3,8,2430,0,2002,0,98038,47.356,-122.014,2000,5702,425000
-1090000075,12/16/14,2,1,1020,4200,1,0,0,5,6,1020,0,1923,0,98136,47.5319,-122.391,1660,4200,393000
-1446800181,6/20/14,4,1,1810,7500,1,0,0,2,7,1410,400,1959,0,98168,47.4935,-122.333,1250,6255,264950
-1829300520,4/12/15,4,2.5,3460,9699,2,0,0,3,10,3460,0,1987,0,98074,47.637,-122.04,3140,10631,746500
-3992700070,11/24/14,3,1,2020,8100,1,0,0,3,7,1170,850,1956,0,98125,47.7136,-122.288,1480,7620,450000
-2472950160,6/17/14,3,2,1410,7466,1,0,0,3,7,1410,0,1983,0,98058,47.427,-122.147,1410,7610,229950
-3468800310,1/13/15,2,1,750,4000,1,0,0,2,6,750,0,1933,0,98108,47.54,-122.32,1160,4000,425000
-6613000935,5/13/14,4,2.5,5300,26211,2,1,2,2,10,4570,730,1923,0,98105,47.661,-122.269,3890,19281,2560000
-4054530240,4/27/15,4,3.5,4380,66613,1.5,0,0,3,11,4380,0,1993,0,98077,47.7279,-122.048,4010,70109,1400000
-2600040160,10/31/14,3,2.25,2290,9047,2,0,0,4,8,2290,0,1984,0,98006,47.5545,-122.163,2120,9275,753000
-4229900140,10/6/14,2,1,720,5750,1,0,0,2,6,720,0,1943,0,98136,47.5535,-122.393,980,6125,310000
-1005000240,12/19/14,2,1,1200,6014,1,0,0,4,6,600,600,1949,0,98118,47.5357,-122.28,1270,4652,395000
-4188000240,12/11/14,3,2.5,2620,28703,1,0,0,3,10,2620,0,1985,0,98052,47.7238,-122.114,2950,30290,725000
-1562100340,8/28/14,4,3,2120,7650,2,0,0,3,8,2120,0,1964,0,98007,47.6214,-122.14,2260,7885,295000
-7941600390,6/23/14,3,1.75,1580,8820,1,0,0,4,7,1580,0,1967,0,98003,47.317,-122.325,1280,8500,225000
-2655500241,8/14/14,3,3.25,4160,35153,3,0,2,3,12,3690,470,2001,0,98040,47.5749,-122.214,3290,11533,1700000
-8651720060,2/2/15,3,2.25,1830,8831,1,0,0,3,7,1460,370,1979,0,98034,47.7286,-122.215,2330,8064,431000
-2621750350,3/26/15,3,2.5,2000,8057,1,0,0,3,8,1360,640,1998,0,98042,47.3724,-122.107,2530,8964,358500
-2397101375,4/28/15,2,1,980,3600,1,0,0,3,6,980,0,1907,0,98119,47.6366,-122.365,1690,3600,595000
-808300200,3/19/15,4,2.5,3040,20682,2,0,0,3,7,3040,0,2000,0,98019,47.7245,-121.959,2670,9742,468000
-8645500370,12/3/14,4,1,1740,8100,1,0,0,4,7,1020,720,1962,0,98058,47.467,-122.185,1600,8949,260000
-5668500045,9/17/14,3,2,1450,7300,1.5,0,0,5,7,1450,0,1955,0,98133,47.7517,-122.342,1660,9069,375000
-6679000370,5/25/14,3,2.5,1560,4200,2,0,0,3,7,1560,0,2003,0,98038,47.3838,-122.026,1560,4200,295000
-8699800070,7/31/14,4,2.5,2050,8909,1,0,2,4,8,1690,360,1986,0,98198,47.398,-122.31,2190,8912,403900
-9500900060,7/22/14,3,1.75,1760,12823,1,0,0,4,7,1460,300,1956,0,98002,47.2868,-122.21,1450,10800,269950
-2255500060,2/18/15,3,3.5,1740,1975,2,0,3,3,8,1310,430,1998,0,98122,47.6085,-122.311,1740,1975,640000
-5071500140,6/27/14,3,1,910,8789,1,0,0,3,7,910,0,1966,0,98148,47.4345,-122.326,1160,8789,221000
-3546000070,6/17/14,3,1.75,1700,7532,1,0,0,3,7,1700,0,1987,0,98030,47.355,-122.176,1690,7405,255000
-9478500570,6/23/14,4,2.5,2620,4469,2,0,0,3,7,2620,0,2008,0,98042,47.3663,-122.115,2250,4500,300000
-2473440070,3/20/15,3,2.25,1500,7410,1,0,0,4,7,1500,0,1973,0,98058,47.4597,-122.162,1750,7990,270000
-952001710,3/3/15,4,1.75,1630,5750,1,0,0,3,7,1160,470,1947,0,98116,47.5674,-122.384,1640,5750,575000
-7905400160,2/11/15,3,1.5,1370,9800,1,0,0,5,7,1370,0,1968,0,98001,47.3068,-122.27,1370,9800,246900
-6852700520,4/6/15,2,2.5,1390,1132,2,0,0,3,8,1130,260,2006,0,98102,47.6228,-122.319,1400,1237,635000
-625100004,3/17/15,3,2,1540,67756,1,0,0,3,7,1540,0,1900,1973,98077,47.721,-122.078,2060,67756,450000
-6600400370,9/10/14,3,1,1190,7500,1,0,0,5,7,1190,0,1968,0,98042,47.3248,-122.142,1200,9750,215000
-2025770310,6/11/14,3,3.5,4500,21870,2,0,0,3,10,4500,0,2004,0,98092,47.3043,-122.159,4670,23058,785000
-2126049290,2/20/15,4,3,2370,8154,1,0,0,3,7,1380,990,1977,0,98125,47.7258,-122.306,2100,8148,522500
-1843200350,7/22/14,2,1.5,1360,1934,2,0,0,4,7,1360,0,1978,0,98092,47.2857,-122.189,1360,1898,150000
-3750600566,12/15/14,2,1.75,870,18537,1,0,0,4,6,870,0,1946,0,98001,47.275,-122.278,1300,22800,199950
-3761100045,6/18/14,4,4.25,4850,12445,2,1,4,5,10,3850,1000,1989,0,98034,47.7011,-122.244,3350,12210,3000000
-7937600262,7/10/14,3,2,3110,44967,2,0,0,3,9,3020,90,1999,0,98058,47.4343,-122.082,2150,44967,379900
-3629921000,11/21/14,4,2.5,3700,7051,2,0,0,3,11,3700,0,2006,0,98029,47.5427,-121.995,3580,6175,950000
-7519000335,12/3/14,6,2.75,3500,5150,2,0,0,5,8,2430,1070,1909,0,98117,47.6842,-122.363,1430,3860,865000
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-328000160,12/11/14,5,3.75,3700,7920,3,0,4,3,9,2900,800,1983,0,98115,47.6865,-122.266,2860,6360,1400000
-6909700340,8/20/14,3,2,1990,3000,1.5,0,2,5,8,1430,560,1927,0,98144,47.5891,-122.293,1780,5000,619000
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-9828202325,6/19/14,2,1,790,6600,1,0,0,3,6,790,0,1949,0,98122,47.6149,-122.293,1520,4400,436000
-795002190,7/15/14,2,1,1060,8000,1,0,0,3,6,1060,0,1941,0,98168,47.5088,-122.333,1390,8000,205000
-226059065,9/3/14,3,2.25,2260,54014,1,0,0,3,7,1450,810,1962,0,98072,47.7657,-122.131,2140,44431,514000
-8682280270,9/3/14,2,2.5,1900,2983,2,0,0,3,8,1900,0,2006,0,98053,47.7029,-122.015,1510,3876,530000
-7695370160,8/11/14,5,2.5,3361,6983,2,0,0,3,10,3361,0,2006,0,98092,47.3427,-122.169,3112,6920,511000
-3025300226,5/15/14,4,1.75,3550,19865,2,0,0,3,9,3550,0,1962,2002,98039,47.6236,-122.235,3000,19862,2100000
-241900160,3/10/15,5,2.5,2740,5460,2,0,0,3,8,2740,0,2005,0,98031,47.4042,-122.204,2900,5971,370000
-2461900550,12/16/14,4,1.75,2040,6000,1,0,0,5,7,1020,1020,1943,0,98136,47.5507,-122.383,1440,6000,500000
-9206700060,11/5/14,4,2.5,4070,129808,2,0,0,3,10,4070,0,1998,0,98038,47.4433,-122.016,4070,102366,710000
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-5468700105,8/5/14,3,1.75,2000,8400,1.5,0,0,4,8,2000,0,1959,0,98133,47.7535,-122.334,2000,8400,415000
-5078400160,6/5/14,5,4.5,4400,15580,2,0,0,3,11,3390,1010,2003,0,98004,47.6232,-122.207,2150,14249,1800000
-6603000030,12/17/14,3,1.75,1300,8976,1,0,0,3,7,1300,0,1967,0,98003,47.3357,-122.305,1430,9750,236000
-8598200070,12/8/14,2,2.5,1420,2229,2,0,0,3,7,1420,0,2004,0,98059,47.4871,-122.165,1500,2230,278000
-5101402435,6/3/14,3,2.25,1540,5338,1,0,0,5,7,770,770,1954,0,98115,47.6942,-122.304,1680,6525,312000
-5101402435,3/4/15,3,2.25,1540,5338,1,0,0,5,7,770,770,1954,0,98115,47.6942,-122.304,1680,6525,539000
-8820902400,9/10/14,3,3,2360,2750,2,0,1,3,7,1780,580,1983,0,98125,47.7142,-122.281,1970,5800,498000
-1246700251,5/27/14,4,3,3720,29043,2,0,0,3,9,3720,0,1991,0,98033,47.6907,-122.161,1610,23000,857000
-5315101716,2/25/15,3,1.75,1690,13500,1,0,0,4,7,1690,0,1978,0,98040,47.5897,-122.233,1950,10500,780000
-5035300570,9/23/14,3,2,2300,5000,1,0,0,4,8,1150,1150,1938,0,98199,47.6521,-122.413,2300,5000,650000
-4123400310,4/9/15,4,1.75,1650,7088,1,0,0,3,8,1650,0,1973,0,98027,47.5688,-122.087,1850,7523,559500
-4058802255,7/24/14,2,1,990,6448,1,0,0,3,7,990,0,1948,0,98178,47.5031,-122.245,1130,7200,219950
-2141330560,7/25/14,4,2.25,2130,8410,2,0,0,4,8,2130,0,1977,0,98006,47.5589,-122.128,2170,8400,671500
-2725069121,9/3/14,4,2.5,3320,52707,2,0,0,3,10,3320,0,1999,0,98074,47.6247,-122.016,3040,54450,813000
-7682200340,7/28/14,3,2.25,1960,8875,1,0,0,3,7,1290,670,1965,0,98003,47.3344,-122.301,1890,8700,182000
-9518100059,8/22/14,2,1,770,2500,1,0,0,3,6,770,0,1913,1960,98072,47.7534,-122.172,1500,8286,203700
-1861400060,5/5/14,4,1.75,2010,3600,1.5,0,0,3,7,2010,0,1902,0,98119,47.6337,-122.371,2010,3600,740000
-2223059053,3/11/15,2,1,800,17965,1,0,0,4,5,800,0,1942,0,98058,47.4693,-122.161,1500,8925,230000
-421049114,10/9/14,3,1,910,11117,1,0,0,3,7,910,0,1955,0,98003,47.3432,-122.309,1490,8416,128000
-6703100140,8/22/14,3,1,1200,6628,1,0,0,4,7,1200,0,1952,0,98155,47.7367,-122.319,1330,6768,345000
-6127010890,4/27/15,4,2.5,3570,6246,2,0,0,3,7,3570,0,2005,0,98075,47.5927,-122.006,2260,5231,663000
-8898700960,6/20/14,3,2.5,1820,8085,2,0,0,3,7,1820,0,1983,0,98055,47.4575,-122.204,1860,8625,329950
-486000597,8/11/14,3,2.25,2930,7005,3,0,2,3,9,2670,260,1999,0,98117,47.6763,-122.404,2450,6460,1050000
-7175300045,11/12/14,3,1.75,1480,4050,1,0,0,3,7,870,610,1926,0,98115,47.681,-122.304,1350,4500,402300
-3073500045,5/7/14,4,2.5,3305,16164,1.5,0,0,5,7,2245,1060,1922,1956,98133,47.7563,-122.338,1620,8883,492000
-2407900550,5/7/15,4,2.5,2230,5000,1,0,0,3,7,1650,580,2006,0,98059,47.4799,-122.129,2090,4637,448000
-5379802650,2/25/15,3,1,1560,7800,1,0,0,3,7,1560,0,1955,0,98188,47.4549,-122.287,1468,9375,273000
-4364700990,10/3/14,3,1,1030,7200,1,0,0,3,6,880,150,1948,0,98126,47.5255,-122.376,1030,7200,335000
-2158900140,9/5/14,3,3.75,2380,3600,1.5,0,0,3,7,1690,690,1927,0,98112,47.6374,-122.307,1990,3520,695000
-3235100075,5/3/15,3,1,1010,7903,1,0,0,3,6,1010,0,1948,0,98155,47.766,-122.32,1010,7903,279000
-2887701940,12/5/14,2,1.75,2060,2700,1,0,0,3,7,1030,1030,1929,0,98115,47.6856,-122.312,1390,2700,485000
-7399200510,8/12/14,4,2.5,2370,10580,2,0,0,3,8,2370,0,1966,0,98055,47.464,-122.192,1590,8584,383000
-3578600045,12/16/14,4,2.5,2242,37451,2,0,0,3,8,2242,0,1995,0,98028,47.7443,-122.228,2242,13125,490000
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-1560100135,2/24/15,2,1,890,7250,1,0,0,3,7,890,0,1943,0,98125,47.7118,-122.314,900,7000,285000
-1326069094,2/25/15,3,1.5,2700,24539,2,0,0,3,7,2120,580,1977,2014,98019,47.7348,-121.984,1830,11000,524950
-3396830310,4/7/15,4,2.5,2450,27081,2,0,0,3,8,2450,0,1985,0,98052,47.7177,-122.104,2630,12025,729000
-4040400340,9/5/14,3,1.75,1420,8250,1,0,0,4,7,1420,0,1960,0,98007,47.6112,-122.133,2020,8250,460000
-7234601221,10/14/14,3,1.5,1280,2114,1.5,0,0,3,8,1280,0,1904,0,98122,47.6174,-122.308,1540,1456,687500
-6065301040,8/14/14,5,2.75,2910,15118,1,0,0,5,9,1780,1130,1972,0,98006,47.5696,-122.183,2880,15253,1170000
-2600010390,10/15/14,4,2.25,2430,10050,2,0,0,4,8,2430,0,1979,0,98006,47.5563,-122.163,2390,10250,825000
-6679000560,7/29/14,2,2.5,1860,6359,2,0,0,3,7,1860,0,2003,0,98038,47.3847,-122.029,1860,6359,314950
-6743700335,6/4/14,3,2,1800,12669,1,0,0,3,7,1800,0,1956,1990,98033,47.6935,-122.173,1970,9775,470000
-2207000060,8/18/14,3,1.5,1960,8815,1,0,0,4,7,1020,940,1958,0,98006,47.5765,-122.159,1760,9534,500000
-1900000060,11/17/14,3,1.5,1550,7260,1.5,0,0,2,6,1550,0,1925,0,98166,47.4693,-122.349,1190,7620,313000
-1232001480,7/10/14,2,1,840,3840,1,0,0,4,7,840,0,1926,0,98117,47.684,-122.378,1310,3840,445000
-9835800320,8/28/14,4,1.75,2080,8750,1,0,0,4,8,1330,750,1967,0,98032,47.3749,-122.291,1790,8750,300000
-9285800055,10/14/14,4,2.5,2210,5077,1.5,0,0,4,8,1480,730,1912,0,98126,47.5719,-122.377,1740,5000,619500
-3438500677,6/13/14,3,1.5,1210,5240,1,0,0,4,7,610,600,1983,0,98106,47.5524,-122.356,1560,5240,305000
-3879901290,4/1/15,3,2.5,1350,941,3,0,0,3,9,1350,0,2007,0,98119,47.6265,-122.364,1640,1369,874000
-3905040060,3/13/15,3,2,1860,5146,2,0,0,3,8,1860,0,1991,0,98029,47.5706,-121.999,1950,5146,477500
-9530101290,11/10/14,3,2,1940,4500,1,0,3,3,7,1090,850,1926,0,98107,47.6659,-122.359,1700,4500,700000
-5104532030,3/6/15,4,3.5,3400,5222,2,0,0,3,9,3400,0,2005,0,98038,47.3559,-122,3190,5326,515000
-6411600045,10/16/14,4,2.5,2240,9385,2,0,0,3,8,2240,0,1991,0,98133,47.7125,-122.332,2010,9000,590000
-1796360990,7/1/14,3,1.75,1170,8239,1,0,0,3,7,1170,0,1981,0,98042,47.3679,-122.088,1180,7866,205000
-9264911550,10/22/14,3,3.25,3130,9302,2,0,0,3,8,2190,940,1987,0,98023,47.3078,-122.338,2350,7949,310000
-7715800310,8/21/14,2,2.25,1510,7280,2,0,0,3,7,1510,0,1987,0,98074,47.6264,-122.058,1510,8120,442500
-3407700012,11/6/14,4,3.5,3740,41458,2,0,2,3,11,3740,0,2000,0,98072,47.7375,-122.139,3750,38325,1080000
-2322069116,8/25/14,4,2.5,2690,46609,2,0,0,3,8,2690,0,1980,1991,98038,47.3843,-122.006,1500,34800,530000
-4058800875,6/24/14,4,1.75,1760,6204,1,0,2,4,7,1180,580,1950,0,98178,47.5045,-122.24,1990,6240,343500
-8113101070,4/23/15,4,1.75,2180,4066,1.5,0,0,3,6,1270,910,1911,0,98118,47.5487,-122.277,1400,1343,334900
-9512501370,11/5/14,4,1.75,1560,9000,1,0,0,5,7,1560,0,1969,0,98052,47.6707,-122.149,1510,8848,544300
-3670500465,5/26/14,3,2.5,1780,4050,2,0,0,3,7,1780,0,2001,0,98155,47.7346,-122.308,1571,4976,370000
-8856950310,5/24/14,3,1.75,1260,6908,1,0,0,3,7,1260,0,1994,0,98038,47.385,-122.031,1810,7159,245000
-4315700505,2/10/15,4,1.75,1570,3250,1.5,0,0,5,8,1570,0,1928,0,98136,47.5405,-122.393,1570,5720,535000
-3046200125,4/6/15,2,1,740,6550,1,0,0,4,5,740,0,1946,0,98168,47.4807,-122.332,1080,8515,202000
-2922701420,11/18/14,4,2.25,2020,4960,2,0,0,3,7,1710,310,1938,0,98117,47.6867,-122.369,1590,4550,490000
-6430500238,12/16/14,4,1.5,1500,3075,2,0,0,5,7,1420,80,1929,0,98103,47.6893,-122.35,1480,3774,651500
-6031400071,1/14/15,4,2.5,1670,8056,1,0,0,3,7,1170,500,1961,0,98168,47.4884,-122.319,1360,8056,270000
-1854750030,4/7/15,3,3.5,3620,8072,2,0,0,3,10,2920,700,1999,0,98006,47.5646,-122.127,3680,9624,1160000
-7950302121,7/16/14,2,1.5,1010,1309,2,0,0,3,7,860,150,2007,0,98118,47.5659,-122.286,1190,3060,289000
-1421069117,4/17/15,3,1.5,1460,13503,1,0,0,4,6,1460,0,1977,0,98010,47.3119,-122.015,1460,13394,240000
-1370803510,5/15/14,3,1.75,1790,6117,1,0,2,3,8,1350,440,1940,0,98199,47.6366,-122.401,1960,5554,790000
-1559900140,12/22/14,3,2.25,1760,9621,2,0,0,3,7,1760,0,1995,0,98019,47.7466,-121.979,1810,6589,350000
-2734100738,10/29/14,3,3.5,1790,1682,2,0,0,3,7,1480,310,2006,0,98108,47.542,-122.321,1150,4000,246950
-7007700030,1/5/15,3,1,1050,6000,1,0,0,3,7,1050,0,1952,0,98116,47.5709,-122.401,1720,6000,400000
-7702020030,2/25/15,4,2.5,2590,6394,2,0,0,3,8,2590,0,2003,0,98028,47.7599,-122.233,2500,5328,533000
-1795500060,10/21/14,3,1,1040,8645,1,0,0,4,7,1040,0,1962,0,98042,47.3631,-122.116,1290,8645,198400
-3303860030,10/29/14,4,2.5,4060,8547,2,0,0,3,9,2790,1270,2007,0,98038,47.3694,-122.056,2810,8313,495000
-7701960990,6/16/14,4,2.5,3190,14565,2,0,0,3,11,3190,0,1990,0,98077,47.713,-122.072,3420,20475,862000
-7701960990,8/19/14,4,2.5,3190,14565,2,0,0,3,11,3190,0,1990,0,98077,47.713,-122.072,3420,20475,870000
-5453700060,2/24/15,4,1.75,2180,9726,1,0,0,4,9,2180,0,1966,0,98040,47.5359,-122.233,2560,10244,875000
-2143700935,9/3/14,6,3.5,2120,5840,2,0,0,5,7,2120,0,1979,0,98055,47.4788,-122.227,1860,8000,317000
-9485300560,7/25/14,4,2.75,2110,6838,2,0,0,4,8,2110,0,1991,0,98031,47.3877,-122.171,2100,7280,325000
-3693900135,9/20/14,2,1.5,1210,5000,1.5,0,0,5,6,1210,0,1907,0,98117,47.6793,-122.397,1570,5000,615000
-7212650990,7/21/14,4,2.5,2410,7846,2,0,0,3,8,2410,0,1992,0,98003,47.2641,-122.312,2380,7914,334950
-1245001659,8/21/14,3,2.5,1980,7807,2,0,0,4,9,1980,0,1989,0,98033,47.6884,-122.204,1590,7579,775000
-6071300550,8/22/14,4,2.5,2370,9135,1,0,0,4,8,1600,770,1967,0,98006,47.5564,-122.177,2050,9468,600000
-4083306620,7/28/14,3,1.75,1720,2218,1.5,0,0,3,7,1270,450,1931,2003,98103,47.649,-122.335,1130,1600,565000
-8122100392,10/28/14,2,1,750,5026,1,0,0,4,6,750,0,1942,0,98126,47.5368,-122.374,1260,5040,292500
-5418500800,4/29/15,3,2.25,2510,10418,1,0,0,3,8,1810,700,1968,0,98115,47.7003,-122.285,2510,9435,825000
-2421059036,4/15/15,3,2.5,2577,156816,2,0,0,3,8,2577,0,2000,0,98092,47.2935,-122.108,2090,156816,495000
-952000310,5/20/14,3,1.5,1540,4773,2,0,0,3,8,1540,0,1941,2009,98126,47.5678,-122.378,1540,5750,525000
-5694501195,5/11/15,1,1,720,2500,1,0,0,3,7,720,0,1910,0,98103,47.6597,-122.345,1520,3750,438600
-2872900390,8/14/14,3,2.25,1810,8158,1,0,0,3,8,1450,360,1984,0,98074,47.6258,-122.038,1740,9532,507000
-1502400140,4/29/15,3,1.75,1380,8400,1,0,0,3,7,1380,0,1967,0,98003,47.3117,-122.321,1540,8400,275900
-3860900003,6/17/14,4,2.5,2570,6251,2,0,0,3,9,2570,0,2000,0,98004,47.593,-122.197,2570,9588,1170000
-1180003435,12/9/14,4,1.75,1690,6000,1,0,0,3,7,1690,0,1957,0,98178,47.497,-122.227,1350,6000,275000
-6430000070,10/27/14,3,0.75,1420,3060,1,0,0,4,7,860,560,1923,0,98103,47.6872,-122.346,1350,4000,355000
-5530000030,1/26/15,4,2,2130,9579,1,0,0,4,7,1250,880,1968,0,98001,47.3069,-122.271,1590,9800,233000
-5700000465,9/4/14,3,2.5,3000,5000,1.5,0,0,4,7,2110,890,1918,0,98144,47.5781,-122.293,1970,5000,666000
-3211100570,8/11/14,4,2.5,2150,9000,1,0,0,4,7,1360,790,1979,0,98059,47.4785,-122.16,1620,8400,317500
-9536601331,7/22/14,4,2,2280,10319,1,0,3,4,8,1270,1010,1989,0,98198,47.3594,-122.322,2280,9767,420000
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-7399000350,11/4/14,3,2,1550,8300,1,0,0,4,8,1550,0,1965,0,98055,47.4654,-122.195,1860,8000,300000
-6400700189,10/17/14,3,1,1040,8075,1,0,0,4,7,1040,0,1961,0,98033,47.6701,-122.176,1450,8075,390000
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-7977200055,2/13/15,3,1,1010,6120,1,0,0,3,7,860,150,1940,0,98115,47.6861,-122.296,1930,6120,550000
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-1354600160,5/9/14,4,2.25,1930,7452,1,0,0,3,7,1430,500,1984,0,98031,47.4098,-122.189,1714,7200,312000
-8566100160,10/22/14,5,1.75,2500,11617,1,0,0,4,9,1560,940,1966,0,98040,47.5361,-122.217,3370,11617,840000
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-2819100140,4/27/15,3,1.5,1460,6480,1,0,2,4,7,980,480,1940,0,98117,47.6962,-122.397,2180,6912,675000
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-2491200955,12/29/14,5,2,3020,6000,1.5,0,0,5,7,1860,1160,1925,0,98126,47.5207,-122.378,1380,6000,530000
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-1558100398,5/15/14,3,1.75,1680,250470,1,0,0,4,7,1070,610,1940,0,98019,47.7624,-121.93,1680,360000,350000
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-9567800140,3/25/15,3,1,1240,7194,1,0,0,3,6,1090,150,1936,0,98011,47.7636,-122.202,2090,8514,310000
-4046500140,2/9/15,3,1.75,1410,15134,1,0,0,3,7,1410,0,1980,0,98014,47.6931,-121.921,1770,15337,315000
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-1775900140,7/9/14,3,2,1760,6875,1,0,0,4,8,1760,0,1967,0,98072,47.74,-122.093,1670,13650,400000
-6645950070,4/1/15,4,3.5,5000,38012,2,0,0,3,11,3610,1390,2004,0,98029,47.554,-122.036,3850,18054,1450000
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-3260701160,4/7/15,3,2,1840,8140,1,0,0,4,7,1040,800,1975,0,98003,47.3106,-122.325,1600,6720,286500
-3793500510,5/2/15,4,2.5,3200,6691,2,0,0,3,7,3200,0,2002,0,98038,47.367,-122.031,2610,6510,422000
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-6699940320,4/13/15,4,2.5,2600,5188,2,0,0,3,8,2600,0,2005,0,98038,47.3451,-122.04,2610,5188,359900
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-8807810890,11/5/14,3,1,1250,21303,1,0,0,3,6,1250,0,1970,0,98053,47.6625,-122.059,1250,17920,385000
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-5547500070,7/24/14,3,1.75,1580,9705,1,0,0,4,7,1580,0,1977,0,98042,47.3819,-122.09,1580,9942,216000
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-3277801646,5/16/14,3,2,1020,1204,2,0,0,3,7,720,300,2004,0,98126,47.5445,-122.376,1360,1506,238000
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-9421500160,3/3/15,4,1.5,1810,7998,1,0,0,3,8,1210,600,1960,0,98125,47.726,-122.297,1830,7763,495000
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-9510900140,4/6/15,4,2.5,1900,7000,1,0,0,2,7,1420,480,1968,0,98023,47.3092,-122.376,1600,7600,305000
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-6117500160,3/17/15,3,1.5,1570,12412,1,0,3,3,8,1570,0,1954,0,98166,47.438,-122.349,2130,12412,425000
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-2771602420,6/17/14,3,2.5,1180,1262,3,0,0,3,8,1180,0,2010,0,98119,47.6381,-122.375,1180,2632,472000
-3585900045,10/22/14,5,2.75,2960,28300,1,0,3,4,9,2160,800,1959,0,98177,47.7606,-122.37,2940,23250,1250000
-2492200055,7/8/14,3,1.75,1880,5752,1,0,0,4,7,940,940,1945,0,98126,47.5354,-122.378,1110,5201,412000
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-4038000055,8/12/14,3,1,1320,7076,1,0,0,4,7,1320,0,1959,0,98008,47.6131,-122.123,1510,9000,425000
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-8818400340,4/23/15,4,3,2490,4325,1.5,0,0,3,8,1690,800,1922,2003,98105,47.6628,-122.326,1960,4284,1080000
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-6821101275,8/21/14,2,1.75,1960,6000,1,0,0,4,7,980,980,1904,0,98199,47.6531,-122.401,1650,6000,478000
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-2185000685,11/24/14,2,1,840,4200,1,0,0,3,5,840,0,1938,0,98108,47.5292,-122.316,830,5000,208417
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-4078300024,7/25/14,4,2.75,2160,4205,1,0,3,3,7,1080,1080,1969,0,98125,47.7081,-122.276,2450,6014,590000
-6071400710,4/29/15,3,1.75,1610,10229,1,0,0,5,8,1610,0,1961,0,98006,47.553,-122.174,2270,8800,648000
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-369000045,10/10/14,3,2.5,1880,5500,2,0,0,4,7,1880,0,1947,2007,98199,47.657,-122.393,1230,5500,617000
-2826049117,5/28/14,3,1.75,1610,6480,1,0,0,4,7,1610,0,1947,0,98125,47.7137,-122.307,1230,8040,438750
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-8731730710,7/28/14,3,1,1180,9000,1,0,0,4,7,1180,0,1970,0,98031,47.39,-122.166,1290,8316,215000
-9528104109,10/27/14,3,2.5,1365,1090,3,0,0,3,7,1315,50,2003,0,98115,47.6776,-122.324,1360,1124,530000
-3298700012,3/20/15,2,1,720,4125,1,0,0,4,6,720,0,1943,0,98106,47.5245,-122.354,1000,6100,295000
-7967700570,3/2/15,3,2.25,1350,6775,1,0,0,3,7,930,420,1981,0,98032,47.3593,-122.289,1460,7210,245000
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-3797300140,7/21/14,3,2.75,1850,8820,2,0,0,4,8,1850,0,1993,0,98022,47.1928,-122.01,1850,8651,303000
-2481200140,10/15/14,3,1.75,1320,9675,1.5,0,0,4,7,1320,0,1970,0,98024,47.5695,-121.902,1160,9675,330000
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-1352300990,8/26/14,1,1,610,4400,1,0,0,3,5,610,0,1922,0,98055,47.4865,-122.197,1090,4930,126000
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-1994200260,8/19/14,6,4.5,2750,4400,2,0,0,3,8,1770,980,1987,0,98103,47.6883,-122.335,1860,4400,869900
-1121000058,3/31/15,3,1.75,1790,6775,1,0,2,3,8,1790,0,1951,0,98126,47.5412,-122.377,1310,6028,485000
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-952007055,10/21/14,3,1,1070,4600,1,0,0,3,7,950,120,1930,0,98116,47.5627,-122.383,1090,4600,500000
-3790700070,11/21/14,4,2.5,1990,5511,2,0,0,3,8,1990,0,1994,0,98030,47.3585,-122.191,1850,6031,302500
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-1862400292,7/23/14,2,1,890,5423,1,0,0,3,6,890,0,1946,0,98117,47.6966,-122.368,1690,5993,391000
-4123800270,7/10/14,3,2,1440,5457,2,0,0,3,7,1440,0,1986,0,98038,47.3784,-122.046,1480,6286,250000
-3448700070,7/23/14,4,2.5,2440,5350,2,0,0,3,7,2440,0,2003,0,98059,47.4891,-122.149,2440,5090,435000
-9133600135,2/11/15,4,2.25,1800,14722,1,0,0,3,7,1440,360,1962,0,98055,47.4874,-122.223,2400,10000,160000
-6163901913,7/22/14,5,3,2260,6508,1,0,0,3,7,1330,930,2003,0,98155,47.7508,-122.322,1940,9450,451000
-1446403305,5/5/14,2,1,810,7158,1,0,0,5,6,810,0,1944,0,98168,47.4882,-122.325,1090,7158,206000
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-3761700251,5/28/14,4,2,2510,38141,1,0,0,3,9,2510,0,1960,0,98034,47.7219,-122.258,3180,11760,600000
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-2260300060,4/10/15,5,3,4780,20440,1,0,0,4,10,3660,1120,1975,0,98039,47.6242,-122.239,4660,20440,2580000
-7701950060,7/29/14,4,2.5,3160,39960,1,0,0,3,10,3160,0,1980,0,98005,47.6418,-122.157,3900,36444,940000
-5153200486,7/15/14,5,1.75,1990,27810,1,0,0,3,7,1990,0,1955,0,98023,47.3325,-122.35,2240,20000,185000
-205000310,6/24/14,4,3.5,3920,37122,2,0,0,3,10,3920,0,1996,0,98053,47.6316,-121.988,2550,32647,850000
-920069053,9/17/14,3,1,960,15273,1,0,0,4,7,960,0,1963,0,98022,47.238,-122.039,1930,51400,201000
-6141100445,1/7/15,2,1.5,1540,6549,2,0,0,3,7,1540,0,1980,0,98133,47.7189,-122.353,1470,6552,499000
-8809200070,4/8/15,4,2.5,1970,5190,2,0,0,3,7,1970,0,2002,0,98059,47.515,-122.164,1840,5564,315000
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-9211500520,6/18/14,3,1.75,1670,6900,1,0,0,3,7,1170,500,1978,0,98023,47.2975,-122.38,1740,7000,239950
-3589500260,11/11/14,4,2,2100,4500,1,0,0,5,7,1060,1040,1924,0,98105,47.6699,-122.317,1920,3900,550000
-3330500335,4/22/15,2,1,1010,6180,1,0,0,3,6,1010,0,1903,0,98118,47.5532,-122.28,1560,6180,325000
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-8911000445,11/12/14,2,1,940,7700,1,0,0,4,6,940,0,1916,0,98133,47.7067,-122.354,1290,7375,329000
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-1330910370,10/20/14,4,3,4370,217882,2,0,0,3,10,4370,0,1984,0,98053,47.6573,-122.034,2430,35096,897500
-11520370,12/29/14,3,2.5,2620,9112,2,0,0,3,9,2620,0,1995,0,98052,47.6972,-122.116,2620,9067,738000
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-2068000270,8/5/14,5,3,3850,14990,1,0,0,4,9,2290,1560,1964,0,98004,47.6425,-122.218,3010,15001,1400000
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-7852150200,9/23/14,3,2.5,1700,6396,2,0,0,3,7,1700,0,2003,0,98065,47.5333,-121.87,1700,4444,389950
-7853230270,8/4/14,3,2.5,2370,6082,2,0,0,3,7,2370,0,2004,0,98065,47.5288,-121.846,2690,6152,435000
-1965200075,3/16/15,3,1.75,1600,2538,2,0,0,3,7,1600,0,1929,0,98102,47.6447,-122.327,1660,1750,845000
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-9413500350,7/7/14,3,1.75,1480,8394,1,0,0,4,8,1480,0,1971,0,98052,47.6634,-122.144,1920,9184,450000
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-6749700117,4/23/15,3,2.25,1190,1022,3,0,0,3,8,1190,0,1998,0,98103,47.6972,-122.349,1210,1171,350000
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-3644100030,2/9/15,4,1.75,1500,1856,1,0,0,5,7,750,750,1901,0,98144,47.5917,-122.296,1220,1739,432500
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-8121200710,1/23/15,3,2.25,1950,8892,2,0,0,3,8,1950,0,1983,0,98052,47.7213,-122.11,1900,8750,480000
-3574801740,7/28/14,3,1.75,1790,6980,1,0,0,3,7,1330,460,1980,0,98034,47.7311,-122.226,1770,8081,402200
-644000102,4/13/15,3,1,1520,10227,1,0,0,4,6,1520,0,1951,0,98004,47.5872,-122.196,2710,10912,650000
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-9578200030,7/28/14,3,2,2440,13250,1,0,0,4,8,1440,1000,1977,0,98030,47.375,-122.227,2400,10650,312000
-2313900810,4/2/15,4,2,2220,5821,1.5,0,0,4,7,1380,840,1916,0,98116,47.5723,-122.382,1850,5000,610000
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-2591020560,7/2/14,3,2.25,1550,5511,2,0,0,3,8,1550,0,1987,0,98033,47.6946,-122.185,1620,5511,481015
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-2193300390,9/23/14,4,3.25,2810,11250,1,0,0,3,8,1680,1130,1980,0,98052,47.692,-122.099,2110,11250,624000
-7016200030,3/20/15,4,2.5,2080,7966,1,0,0,3,7,1200,880,1970,0,98011,47.7393,-122.181,1920,7500,480000
-727500030,7/15/14,3,1.5,1370,8671,1,0,0,3,7,1370,0,1955,0,98004,47.6217,-122.198,1580,8671,815000
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-623049094,5/16/14,3,1,1000,18513,1,0,0,3,6,1000,0,1940,0,98146,47.5118,-122.348,1280,8113,180000
-2538800030,2/17/15,2,1.75,1210,9750,1,0,0,3,7,1210,0,1984,0,98038,47.3438,-122.037,1650,9750,156601
-7714000310,7/19/14,4,2.5,2790,4650,2,0,0,3,8,2790,0,2004,0,98038,47.3557,-122.026,2850,4650,374950
-254000075,5/19/14,2,1.5,1660,4680,1,0,0,5,6,830,830,1908,0,98146,47.5134,-122.388,1930,5400,368000
-1257201375,12/2/14,3,2,1650,3952,2,0,0,3,7,1650,0,1950,0,98103,47.6727,-122.33,1210,4560,550000
-8856004582,7/17/14,3,1.75,1300,6318,1,0,0,3,7,1300,0,1980,0,98001,47.2752,-122.251,1150,8002,198000
-3205400240,5/13/14,3,1.75,1090,7200,1,0,0,3,7,1090,0,1968,0,98034,47.7227,-122.179,1240,7200,345000
-3738000070,3/9/15,5,2.5,2660,6572,1,0,0,5,9,1960,700,1959,0,98039,47.6176,-122.223,3960,14595,1710000
-8856001090,1/30/15,3,1,940,10890,1,0,0,4,5,940,0,1909,0,98001,47.2763,-122.257,1370,10255,185900
-3224500240,6/17/14,3,2.75,2750,18029,1,0,2,5,9,1810,940,1978,0,98006,47.5617,-122.134,2850,10021,950000
-4139460390,6/20/14,4,4.5,3850,13551,2,0,2,3,10,3000,850,1998,0,98006,47.5522,-122.103,3480,10737,995000
-3531900060,8/2/14,2,1,860,8250,1,0,0,3,7,860,0,1940,0,98133,47.7132,-122.334,1780,11200,345000
-4457300135,11/5/14,4,2.75,2070,10125,1,0,0,3,7,1390,680,1962,0,98040,47.5697,-122.219,1850,10125,741000
-8682292090,7/9/14,2,2.25,2290,9772,1,0,0,3,8,2290,0,2007,0,98053,47.7199,-122.025,1810,6077,737000
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-5710610800,7/2/14,3,1.75,2680,8625,1,0,0,5,8,1590,1090,1974,0,98027,47.5316,-122.056,2620,14275,575000
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-7751800070,8/4/14,3,1.5,1800,10050,1,0,0,3,7,1800,0,1955,0,98008,47.6344,-122.126,1610,10050,583000
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-7550801170,12/11/14,4,1,1350,3333,1.5,0,0,3,7,1350,0,1912,0,98107,47.6727,-122.397,1530,5000,429000
-6648701740,2/20/15,5,2.5,2140,10320,1,0,0,4,7,1330,810,1967,0,98031,47.3927,-122.194,2050,8964,270000
-7529500030,9/9/14,6,4,2700,7416,1,0,0,3,7,1350,1350,1969,0,98108,47.5525,-122.3,2260,5324,385000
-9523102420,9/22/14,1,1,920,5000,1,0,3,4,7,920,0,1906,0,98103,47.6748,-122.352,1890,5000,535000
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-2254501342,5/5/15,2,1.5,1140,1149,2,0,0,3,7,940,200,2001,0,98122,47.6124,-122.314,1460,1149,518000
-2025700260,3/25/15,3,2.25,1490,7589,2,0,0,3,7,1490,0,1993,0,98038,47.3474,-122.037,1510,6603,259500
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-4140100200,8/8/14,3,2.25,3010,9600,2,0,0,3,8,2410,600,1978,0,98028,47.7671,-122.263,2620,9660,499000
-7212650510,4/3/15,4,2.5,1830,7762,2,0,0,3,8,1830,0,1993,0,98003,47.267,-122.31,2109,8966,325000
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-3754500566,11/20/14,4,2.5,2370,2971,2,0,2,3,9,2080,290,2008,0,98034,47.7064,-122.224,2970,7500,749950
-5132000140,6/18/14,6,1,1370,5080,1.5,0,0,3,6,1120,250,1931,0,98106,47.5238,-122.35,1020,5080,175000
-5132000140,1/20/15,6,1,1370,5080,1.5,0,0,3,6,1120,250,1931,0,98106,47.5238,-122.35,1020,5080,415000
-6131600240,11/19/14,3,1,1200,8316,1,0,0,4,6,1200,0,1953,0,98002,47.3231,-122.215,1250,8316,190000
-2768000295,4/17/15,3,1.75,2100,3264,1.5,0,0,5,7,1350,750,1912,0,98107,47.6702,-122.364,1720,3750,625000
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-1598600320,4/16/15,4,1.5,1570,9210,1,0,2,3,7,1400,170,1965,0,98030,47.3864,-122.22,2326,9210,339900
-4140900270,4/27/15,2,1,1140,23030,1,0,0,3,8,1140,0,1980,0,98028,47.7637,-122.266,1850,14260,160000
-5104510060,12/15/14,4,2.5,1830,5331,2,0,0,3,7,1830,0,2002,0,98038,47.3557,-122.016,1830,5175,353000
-3578400710,2/6/15,3,2,1010,14183,1,0,0,3,8,1010,0,1982,0,98074,47.6232,-122.043,1750,11700,390000
-4036400030,3/5/15,4,2.5,1770,9858,1,0,2,3,8,1770,0,1971,0,98155,47.7382,-122.287,2470,9858,675000
-6084200060,3/13/15,3,2.5,2120,3757,2,0,0,3,7,2120,0,2006,0,98059,47.4787,-122.128,2230,4103,400000
-1251200055,6/26/14,4,3.5,3190,5040,2,0,3,3,10,2160,1030,2003,0,98144,47.5928,-122.29,2390,4800,1340000
-8964800860,2/9/15,4,2.5,2780,11904,1,0,1,5,8,1730,1050,1951,0,98004,47.6209,-122.216,3590,13860,1650000
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-3438500798,7/15/14,3,1.5,1060,6954,1,0,0,4,6,1060,0,1983,0,98106,47.5498,-122.355,1560,6954,275000
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-4172100240,9/2/14,3,2.5,1770,3744,1.5,0,0,3,7,1270,500,1929,0,98117,47.6807,-122.364,1400,4680,643002
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-8078550320,3/26/15,3,2,1260,7346,1,0,0,3,7,1260,0,1987,0,98031,47.4034,-122.176,1460,7363,290000
-8099600160,4/29/15,3,2,1710,10959,1,0,0,4,7,1030,680,1981,0,98033,47.697,-122.199,1710,10498,488500
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-8887001625,4/10/15,3,2.75,1820,52889,2,0,0,3,8,1820,0,1991,0,98070,47.501,-122.463,1820,45528,417000
-9464700340,7/8/14,4,2.5,3180,31931,1,0,0,4,10,2390,790,1978,0,98007,47.6388,-122.149,3180,35007,1120000
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-2591820070,4/28/15,3,2.5,2390,8102,2,0,0,4,8,2390,0,1986,0,98058,47.4378,-122.16,2310,8606,380000
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-2421059017,5/23/14,4,3,2830,213879,2,0,0,4,8,2830,0,1987,0,98092,47.2925,-122.107,2250,213008,549900
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-7899800045,12/2/14,3,1.5,910,5120,1,0,0,3,6,910,0,1973,0,98106,47.5238,-122.356,1410,5132,232900
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-6300000368,3/27/15,2,1.5,880,1498,2,0,0,3,7,880,0,1999,0,98133,47.7063,-122.342,880,5060,248500
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-4036800770,9/17/14,4,1.5,1770,6650,1,0,0,3,7,1770,0,1958,0,98008,47.6011,-122.124,1600,7000,375000
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-1828000230,7/14/14,3,2,1620,8400,1,0,0,3,7,1180,440,1968,0,98052,47.6574,-122.128,2120,8424,498000
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-7686205370,11/24/14,4,1.75,1830,5375,1,0,0,2,7,1060,770,1962,0,98198,47.4169,-122.316,1040,7500,260000
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-643300210,2/10/15,3,1.75,1110,10402,1,0,0,4,7,1110,0,1967,0,98006,47.5676,-122.177,2050,9660,610000
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-1644500450,5/7/14,3,3,2270,5175,2,0,0,3,9,2130,140,2002,0,98056,47.516,-122.203,2850,5661,640000
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-2344300220,7/14/14,4,3.5,2210,7597,1,0,0,4,9,1550,660,1977,2006,98004,47.5816,-122.197,2370,8811,1100000
-203101065,5/28/14,3,1.75,1820,22320,1,0,0,3,7,1250,570,1977,0,98053,47.6441,-121.96,2030,22320,420000
-5083100065,9/16/14,3,1,1190,9083,1,0,0,3,7,1190,0,1955,0,98198,47.4116,-122.293,1190,9450,230000
-1545804240,4/2/15,3,1.5,1400,6865,1,0,0,4,7,1400,0,1986,0,98038,47.3639,-122.048,1480,8125,252000
-2329720040,6/30/14,3,2.5,2600,4506,2,0,0,3,8,2600,0,2003,0,98028,47.7353,-122.222,2600,4658,515000
-7551300065,6/9/14,2,1,910,4635,1,0,0,4,6,910,0,1905,0,98107,47.675,-122.393,1740,5000,425000
-4321200580,1/25/15,3,2.5,1760,2320,2,0,2,3,8,1760,0,1994,0,98126,47.5723,-122.376,1760,4698,575000
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-7922750150,9/17/14,4,2.25,2310,9800,1,0,0,3,8,1780,530,1968,0,98033,47.6657,-122.178,2310,9800,561500
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-7954300120,8/22/14,4,2.5,2600,6536,2,0,0,3,9,2600,0,1999,0,98056,47.5232,-122.191,2640,6185,600000
-686400040,4/10/15,4,2.25,1890,7210,1,0,0,3,8,1890,0,1967,0,98008,47.6342,-122.117,1920,7210,545000
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-2205500355,10/21/14,3,1.75,1700,8360,1,0,0,4,7,850,850,1955,0,98006,47.5766,-122.147,1520,8360,455000
-2595650220,4/21/15,3,2,1730,12821,1,0,0,3,8,1730,0,1994,0,98001,47.353,-122.272,1980,11336,313100
-7880010150,6/23/14,4,3.5,3910,59863,2,0,0,4,10,2490,1420,1987,0,98027,47.4846,-122.067,2830,37674,780000
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-1355000220,1/19/15,3,1.75,1200,8034,1,0,0,5,7,1200,0,1975,0,98031,47.4135,-122.18,1270,7600,243000
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-2132200230,2/11/15,3,1.5,1320,7560,1,0,0,3,6,840,480,1983,0,98019,47.7451,-121.98,1210,7560,325000
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-3241600150,5/5/14,3,1,1450,6000,1,0,0,4,7,1450,0,1953,0,98118,47.5238,-122.287,1170,6464,287000
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-6383000150,8/6/14,3,1,1630,6009,1,0,3,4,8,1630,0,1954,0,98117,47.693,-122.383,2120,6009,550000
-5560000650,12/2/14,3,1,1520,8450,1,0,0,2,6,1120,400,1961,0,98023,47.328,-122.337,1320,8450,135000
-5700002020,7/17/14,3,1.75,2080,5687,1.5,0,0,4,8,2080,0,1924,0,98144,47.5776,-122.289,2300,5995,695000
-2141310540,5/6/15,5,2.5,3020,9648,1,0,2,4,9,1980,1040,1977,0,98006,47.5586,-122.134,2890,12598,975000
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-4077800438,12/31/14,4,1.75,1780,8768,1,0,0,4,7,1050,730,1951,0,98125,47.7085,-122.283,1590,8100,518000
-8821900155,7/9/14,3,1,1370,6780,2,0,0,3,6,1370,0,1930,0,98125,47.7156,-122.291,1450,7214,335500
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-8563010540,9/4/14,4,1.75,1770,9848,1,0,0,3,8,1370,400,1967,0,98008,47.6208,-122.099,2040,9587,606150
-7349650120,11/20/14,4,2.75,2910,7712,1,0,0,3,7,1600,1310,1998,0,98002,47.2842,-122.198,2220,6649,292000
-620069061,5/7/15,3,2.5,2880,426452,2,0,3,3,7,2880,0,1979,0,98092,47.2485,-122.101,1460,320890,450000
-9269200540,8/19/14,3,1.75,2520,5043,1,0,0,3,8,1260,1260,1957,0,98126,47.5339,-122.372,1360,4920,429000
-1939000040,8/20/14,4,2.5,3190,38119,2,0,0,3,9,3190,0,1988,0,98053,47.6698,-122.044,2560,36280,765000
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-9477920120,2/12/15,4,2.5,3170,5340,2,0,0,3,7,3170,0,2000,0,98059,47.4911,-122.138,3010,5340,505000
-4037200530,3/17/15,3,1.75,1830,7371,1,0,0,3,7,1830,0,1957,0,98008,47.6059,-122.121,1600,7700,544950
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-1862400087,3/13/15,3,1.75,1520,8100,1,0,0,5,6,760,760,1945,0,98117,47.6966,-122.375,1040,8100,475000
-3522029124,12/3/14,3,2,2690,435600,2,0,0,3,8,2690,0,1992,0,98070,47.3477,-122.519,1700,163350,575000
-1250200418,5/27/14,2,1.5,1180,844,2,0,0,3,7,990,190,2005,0,98144,47.5998,-122.3,1170,1400,345000
-7967900150,4/30/15,4,2.5,3030,9500,2,0,0,3,8,3030,0,1989,0,98001,47.3511,-122.287,2650,9500,367950
-5631501073,6/25/14,3,2.25,1400,11400,2,0,0,3,8,1400,0,1984,0,98028,47.7428,-122.231,2180,9248,374500
-2826049197,8/4/14,4,2.5,3000,8100,2,0,0,3,8,3000,0,1992,0,98125,47.7151,-122.305,1550,8100,607500
-1775920210,5/30/14,3,1,1200,9800,1,0,0,4,7,1200,0,1971,0,98072,47.7412,-122.109,1220,10220,374000
-5272200035,9/3/14,3,1,1000,6947,1,0,0,3,7,1000,0,1947,0,98125,47.7142,-122.319,1000,6947,390000
-9525100040,4/7/15,4,3.25,2740,5339,2.5,0,0,3,9,2740,0,2004,0,98103,47.6706,-122.356,1770,4820,705000
-7853221010,10/29/14,3,2.5,1990,4978,2,0,0,3,8,1990,0,2004,0,98065,47.5323,-121.856,2650,6816,467000
-2500600297,8/14/14,3,3,2110,7794,1,0,0,3,6,2110,0,1981,0,98198,47.4005,-122.293,1330,10044,243500
-8562791010,7/7/14,3,2.75,1830,1850,2,0,0,3,10,1690,140,2011,0,98027,47.5307,-122.074,2310,2680,593000
-3550800040,11/14/14,3,1,940,7980,1,0,0,3,6,940,0,1961,0,98146,47.5107,-122.345,1050,7980,223000
-8857640210,4/20/15,4,2.5,2980,10179,2,0,2,3,9,2980,0,2003,0,98038,47.3895,-122.033,2980,8828,574000
-8898700120,6/4/14,3,2,2260,11305,1,0,0,3,7,1130,1130,1986,0,98055,47.4544,-122.204,2080,10248,400000
-1242700035,11/3/14,4,2.75,3470,70131,1,0,0,4,8,1750,1720,1962,0,98005,47.6339,-122.18,2950,43560,772000
-7200001005,5/1/15,3,1.75,1510,10450,1,0,0,4,7,1510,0,1964,0,98052,47.684,-122.113,1310,9450,593777
-4174600072,12/23/14,4,3.5,2710,5722,2,0,0,4,8,2040,670,1997,0,98108,47.5591,-122.302,2500,5722,539500
-3630060150,4/1/15,3,2.5,2080,2625,2,0,0,3,8,2080,0,2006,0,98029,47.5469,-121.997,1760,2772,550000
-3348401490,6/30/14,2,2,1860,10856,1,0,0,3,8,1260,600,1952,0,98178,47.4989,-122.265,1250,10008,265000
-7214810150,10/2/14,3,1.75,2120,9350,1,0,0,3,7,1280,840,1979,0,98072,47.7562,-122.145,2200,9000,428000
-1566100450,4/28/15,3,2,1110,8375,1,0,0,5,7,1110,0,1951,0,98115,47.6978,-122.297,1410,7734,505000
-7851990120,7/1/14,5,5.5,5190,12637,2,0,2,3,11,5190,0,2001,0,98065,47.5424,-121.872,3840,12637,925000
-8937500040,1/2/15,3,1.75,1520,15344,1,0,0,3,8,1520,0,1968,0,98023,47.3308,-122.365,2270,14981,230000
-1149600120,8/20/14,4,2.5,2650,9990,2,0,0,3,10,2650,0,1990,0,98029,47.5605,-122.016,2710,8012,695000
-7853240040,4/14/15,4,2.75,3350,7857,2,0,2,3,9,3350,0,2004,0,98065,47.5398,-121.859,3870,7886,700000
-7517500085,4/25/15,3,1.75,1770,2800,1.5,0,0,3,7,1770,0,1914,0,98103,47.6631,-122.357,1630,3254,712500
-9527310180,4/3/15,3,2.5,2200,4692,2,0,0,3,8,2200,0,2005,0,98011,47.7761,-122.169,2440,3833,480000
-3558900580,9/22/14,3,2.5,2000,8424,1,0,0,4,7,1300,700,1968,0,98034,47.7089,-122.201,2110,8400,470000
-4046500180,7/24/14,3,1.75,1730,15003,1,0,0,3,7,1150,580,1980,0,98014,47.6923,-121.92,1900,15483,335000
-6386300120,4/17/15,3,1.5,1300,7907,1,0,0,3,7,900,400,1970,0,98030,47.3737,-122.224,1630,7600,270000
-3395350210,3/24/15,5,3.25,2950,67475,1,0,0,3,8,2530,420,1981,2004,98072,47.7233,-122.117,2620,39820,810000
-9578080040,8/12/14,3,3,1720,954,3,0,0,3,8,1460,260,2006,0,98119,47.648,-122.358,1720,1294,589000
-5683500085,9/26/14,2,1,880,4558,1,0,0,3,7,880,0,1951,0,98115,47.6803,-122.287,1370,5243,415000
-8645500360,3/11/15,4,2.25,1790,13200,1,0,0,3,7,1220,570,1979,0,98058,47.4672,-122.185,1740,8950,197000
-4222310220,8/25/14,3,1.5,1380,7600,1,0,0,4,7,790,590,1971,0,98003,47.3489,-122.306,1570,7904,235500
-2394600157,4/7/15,3,2.25,1530,1840,2,0,0,3,8,1240,290,2008,0,98144,47.587,-122.301,1800,3431,460000
-9238900085,10/29/14,5,1.75,2330,4947,1,0,0,4,8,1380,950,1955,0,98136,47.5352,-122.392,2120,5605,572500
-2739200040,9/24/14,5,2,1540,9629,1,0,0,4,7,1540,0,1960,0,98059,47.4915,-122.143,2260,9600,302000
-3893100456,8/13/14,3,2.5,3210,8630,2,0,0,4,10,2530,680,1990,0,98033,47.6939,-122.189,2630,8630,870000
-1370803940,10/7/14,3,1,1130,5758,1,0,0,3,7,960,170,1939,0,98199,47.6413,-122.401,1510,6000,485000
-4222200120,2/5/15,3,2,1460,7526,1,0,0,3,7,1460,0,1968,0,98003,47.3463,-122.304,1580,7526,240000
-9477000120,10/22/14,3,1.75,1410,7215,1,0,0,3,7,1410,0,1967,0,98034,47.7343,-122.193,1550,7600,383000
-7228501065,6/26/14,4,2.75,1750,5080,1.5,0,0,3,8,1750,0,1903,0,98122,47.6143,-122.305,1700,4572,750000
-9266701085,6/3/14,2,1.75,1370,5125,1,0,0,5,6,1370,0,1944,0,98103,47.6926,-122.346,1200,5100,409950
-985001082,5/21/14,3,1.5,1780,23819,1,0,0,3,7,1780,0,1953,0,98168,47.4912,-122.312,1130,14450,246000
-8815400410,4/3/15,4,1.75,1890,4500,2,0,0,5,7,1490,400,1937,0,98115,47.6751,-122.289,1890,5000,860000
-2459500210,5/7/14,3,2.25,1630,12295,2,0,0,4,7,1630,0,1985,0,98058,47.4279,-122.161,1730,9948,339950
-1219000043,5/9/14,5,1.75,2320,8100,1,0,0,4,7,1160,1160,1956,0,98166,47.4631,-122.341,1410,7271,315000
-4379400580,8/13/14,3,2.5,2580,4636,2,0,0,3,9,2580,0,2006,0,98074,47.6201,-122.025,2480,4500,698000
-2159900120,8/22/14,2,2.5,1470,2034,2,0,0,4,8,1470,0,1985,0,98007,47.6213,-122.153,1510,2055,419000
-1243100191,1/22/15,3,1,2298,10140,1,0,0,3,7,2298,0,1969,0,98052,47.6909,-122.083,2580,24724,372000
-7852150530,9/11/14,3,2.5,1960,4709,2,0,0,3,7,1960,0,2003,0,98065,47.5322,-121.871,1700,4444,425000
-7508700085,7/24/14,3,2.25,2950,8036,1.5,0,0,3,8,1950,1000,1963,0,98125,47.7239,-122.313,2060,7200,386500
-8820903370,11/17/14,2,1,670,7312,1,0,0,3,5,670,0,1942,0,98125,47.7145,-122.285,860,8242,348000
-1923000150,4/24/15,5,3.5,3020,15305,2,0,0,3,10,2230,790,1978,0,98040,47.5627,-122.216,3680,14486,754000
-3920900220,12/15/14,4,3,2390,7309,2,0,0,4,7,2390,0,1944,1981,98002,47.294,-122.218,930,7308,269950
-8835700330,12/11/14,3,2.5,3090,20785,2,0,0,4,10,3090,0,1991,0,98075,47.5602,-122.03,3400,7566,891500
-7338402160,10/9/14,4,1.75,1780,5000,1,0,0,5,7,890,890,1903,0,98108,47.5329,-122.292,1860,5000,349950
-3223059141,5/9/14,2,1,1420,81892,1,0,0,3,7,1180,240,1956,0,98055,47.4342,-122.195,1490,1863,360000
-524059052,12/9/14,4,2.25,2420,15482,2,0,0,4,8,2420,0,1925,1997,98004,47.5907,-122.196,2870,13905,975000
-6145600865,5/5/14,4,2,1480,3844,1.5,0,0,5,7,1480,0,1928,0,98133,47.7042,-122.352,1480,3844,449250
-2325400330,12/1/14,4,2.25,2190,3850,2,0,0,3,7,2190,0,2006,0,98059,47.4854,-122.16,1900,3850,350000
-9530100085,4/1/15,4,1.75,1820,6137,1.5,0,3,4,7,1690,130,1911,0,98107,47.6681,-122.36,2130,5100,790000
-3024059044,9/9/14,3,1.75,1810,24586,1,0,4,4,9,930,880,1983,0,98040,47.5314,-122.222,3540,14200,990000
-5015000596,12/1/14,3,2.25,2550,4089,2,0,0,3,9,2550,0,1983,0,98112,47.6272,-122.297,1680,4089,834000
-4443801285,8/14/14,3,1,1360,3880,1,0,0,3,7,1060,300,1963,0,98117,47.6837,-122.391,1110,3880,466950
-3751606606,7/17/14,3,1.75,2259,26831,1.5,0,3,5,7,1491,768,1908,0,98001,47.2741,-122.266,1980,15794,262500
-1829300210,5/6/14,4,2.5,3880,14550,2,0,0,3,10,3880,0,1987,0,98074,47.6378,-122.04,3240,14045,762300
-2767601085,1/26/15,6,2.75,2730,5000,1,0,0,3,8,1780,950,1962,0,98107,47.6751,-122.38,2090,5000,733000
-8832900155,4/14/15,4,2.5,2800,17279,1,0,2,3,7,1560,1240,1957,0,98028,47.7596,-122.269,3060,13423,439000
-8805900065,11/12/14,5,3.25,4290,7019,2.5,0,0,4,10,3590,700,1927,0,98112,47.6439,-122.302,1920,4000,1160000
-8635760040,10/8/14,3,2.5,1770,3993,2,0,0,3,8,1770,0,1999,0,98074,47.6027,-122.02,1820,4046,420000
-8651540040,7/18/14,3,2.25,1920,10961,2,0,0,3,8,1920,0,1981,0,98074,47.6432,-122.057,2000,10706,549000
-9818700455,8/26/14,4,2.5,2320,4000,1.5,0,0,5,8,1510,810,1905,0,98122,47.6048,-122.298,1490,4500,518000
-924069210,6/3/14,4,2.5,2961,12146,2,0,0,3,9,2961,0,1998,0,98075,47.5839,-122.052,2620,17749,695000
-1954430180,1/5/15,3,2.5,1680,7385,2,0,0,3,8,1680,0,1988,0,98074,47.6194,-122.041,1970,7470,485000
-5111400081,6/3/14,3,1.75,1590,27200,1.5,0,0,4,6,1590,0,1926,0,98038,47.4238,-122.052,1820,74052,280000
-5559200065,5/7/15,2,1,1420,16400,1.5,0,0,4,6,1420,0,1943,0,98023,47.3221,-122.344,1900,16400,306500
-1266200120,3/21/15,2,1,1370,9460,1,0,0,3,6,1370,0,1950,0,98004,47.6238,-122.191,1690,9930,720000
-8141310180,11/18/14,3,2.5,2620,4558,2,0,3,3,7,2620,0,2010,0,98022,47.1944,-121.974,1670,4558,277500
-6102400166,9/5/14,3,2,1810,17006,2,1,4,3,8,1810,0,1913,1987,98166,47.4663,-122.369,2180,24911,649000
-3126059023,3/3/15,4,3.5,4730,47870,1,1,4,3,10,2940,1790,1954,0,98033,47.6967,-122.216,3250,49346,3400000
-408100150,5/14/14,2,1,700,6000,1,0,0,4,6,700,0,1949,0,98155,47.7515,-122.316,920,6000,267800
-3905081520,3/25/15,4,2.75,2390,6979,2,0,0,3,8,2390,0,1993,0,98029,47.5703,-121.996,2090,6321,625000
-9324800220,9/17/14,4,2.5,2070,8127,1.5,0,0,3,9,1590,480,1924,2003,98125,47.7316,-122.289,2050,8131,600000
-3996900555,10/17/14,4,2,1780,8149,1.5,0,0,4,7,1780,0,1948,0,98155,47.745,-122.302,1180,8149,395000
-9456200450,4/27/15,4,2.5,1900,21780,1.5,0,0,3,7,1900,0,1940,1987,98198,47.3776,-122.314,1240,9166,212000
-9165100330,12/12/14,2,1,1040,4040,1,0,0,3,7,940,100,1928,0,98117,47.6829,-122.393,1420,4040,425000
-2877103615,5/11/15,4,1.75,2370,5000,1.5,0,2,3,8,1770,600,1919,0,98103,47.6779,-122.357,2100,4550,870000
-7853210210,3/25/15,3,2.5,1970,3667,2,0,0,3,7,1970,0,2004,0,98065,47.5321,-121.851,1970,3739,420000
-7524950540,4/3/15,4,2.25,2120,9921,2,0,0,3,8,2120,0,1981,0,98027,47.5593,-122.082,1890,7845,800000
-200500410,5/6/15,3,2.5,1960,9535,2,0,0,3,8,1960,0,1989,0,98011,47.7371,-122.215,2520,9206,575000
-9103000365,6/20/14,3,3.25,2660,4000,2,0,0,3,9,2170,490,2003,0,98122,47.6186,-122.288,2660,4000,915000
-6076500220,9/3/14,3,2.25,1180,14258,2,0,0,3,7,1180,0,1987,0,98034,47.7112,-122.238,1860,10390,400000
-1818800144,5/2/14,3,2.5,2390,6550,1,0,2,4,8,1440,950,1955,0,98116,47.5714,-122.408,2010,6550,750000
-2569600150,11/3/14,3,1,1250,7592,1,0,0,5,7,1250,0,1961,0,98042,47.3604,-122.111,1250,7592,235000
-3448000344,11/12/14,5,3,2600,13674,1,0,0,5,8,1300,1300,1967,0,98125,47.7176,-122.302,2150,7800,599950
-7170200085,3/27/15,2,1,940,3800,1,0,0,3,7,940,0,1929,0,98115,47.6798,-122.292,1680,3800,481203
-4094800120,6/19/14,5,3,3880,13000,2,0,0,3,10,3880,0,1972,2003,98040,47.5467,-122.234,3470,13701,1820000
-2591010180,7/9/14,3,2.5,1530,2913,2,0,0,4,7,1530,0,1986,0,98033,47.6939,-122.184,1370,3783,379000
-3052701135,6/26/14,3,1.75,2430,5000,2,0,0,4,7,1760,670,1945,0,98117,47.6785,-122.372,1320,4062,626000
-625049281,5/21/14,2,1,1030,4841,1,0,0,3,7,920,110,1939,0,98103,47.686,-122.341,1530,4944,535000
-5427110040,6/9/14,4,2.5,2740,16007,2,0,0,3,9,2740,0,1984,0,98039,47.6353,-122.229,2760,16008,1230000
-9528103443,7/24/14,2,1.5,1180,1034,2,0,0,3,7,1120,60,2001,0,98115,47.678,-122.322,1137,1034,410000
-7855800730,2/10/15,4,2.5,3090,9238,1,0,3,4,8,1680,1410,1967,0,98006,47.5654,-122.163,2690,8500,940000
-395300650,7/21/14,3,1,1060,9663,1,0,0,3,7,1060,0,1967,0,98034,47.7244,-122.226,1320,10162,326250
-7812800995,9/5/14,2,1,790,5985,1,0,0,3,6,790,0,1944,0,98178,47.4941,-122.24,1030,5985,200000
-9541600355,8/13/14,4,2.5,3070,8250,1,0,0,5,8,2100,970,1958,0,98005,47.5935,-122.172,2270,8800,880000
-774100355,11/3/14,2,2,2100,58488,2,0,0,3,9,2100,0,2005,0,98014,47.72,-121.402,1440,59346,370000
-2781280150,8/1/14,2,2.5,1100,1737,2,0,0,3,8,1100,0,2006,0,98055,47.4499,-122.189,1610,2563,190000
-7338000150,1/29/15,2,1,1070,4200,1,0,0,4,6,1070,0,1983,0,98002,47.3336,-122.215,1150,4200,160000
-6977000040,8/23/14,4,3,2190,12825,1,0,0,3,9,1520,670,1989,0,98034,47.7107,-122.229,3050,4673,625000
-9558050230,5/7/15,4,3.5,3450,6873,2,0,0,3,10,2750,700,2004,0,98058,47.459,-122.118,3450,6873,590000
-1241500155,8/5/14,3,2.5,2070,3599,2,0,0,3,8,2070,0,1999,0,98033,47.6679,-122.165,2070,6844,575000
-9266700256,10/13/14,2,1,1190,5200,1,0,0,5,7,1190,0,1912,0,98103,47.6939,-122.348,1550,5100,470000
-2354300456,3/11/15,2,1,600,1500,1,0,0,4,4,600,0,1900,0,98027,47.5289,-122.033,1130,6000,130000
-7789000120,4/21/15,3,1,940,8400,1,0,0,3,7,940,0,1958,0,98056,47.5108,-122.165,1190,8400,229000
-3210200395,8/22/14,3,1,1280,12928,1.5,0,0,3,6,1280,0,1942,0,98023,47.3215,-122.399,1610,19467,279900
-8658303065,5/19/14,3,1,1370,7500,1,0,0,3,7,1370,0,1960,0,98014,47.6499,-121.915,1160,7500,307000
-4046601010,10/23/14,3,1.75,2450,15001,1,0,0,3,7,1980,470,1989,0,98014,47.6957,-121.913,1790,15323,399950
-526059183,8/1/14,4,2.25,1970,15743,1,0,0,3,7,1370,600,1962,0,98011,47.7673,-122.202,2390,11336,405000
-5056500210,10/7/14,4,2.75,2910,9000,1,0,0,4,8,2130,780,1966,0,98006,47.544,-122.176,1970,9000,539950
-6146600175,11/7/14,2,1,760,5240,1,0,0,3,6,760,0,1949,0,98032,47.388,-122.234,980,5080,129000
-6057700120,9/17/14,3,1.75,1270,8422,1,0,0,3,7,1270,0,1967,0,98011,47.7601,-122.197,1470,8500,340000
-8651442060,6/11/14,3,1.75,1570,4875,1,0,0,4,7,1310,260,1977,0,98042,47.3621,-122.094,1380,5200,214950
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-1423069063,7/11/14,4,2.5,2230,64438,1,0,0,4,7,1230,1000,1978,0,98027,47.4754,-122.007,2230,71002,464950
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-3751606785,7/22/14,3,2.25,2060,47318,1,0,2,4,8,1600,460,1976,0,98001,47.2758,-122.265,1870,19663,335000
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-6370000005,8/27/14,3,1.75,2130,6360,1,0,0,3,7,1720,410,1959,0,98125,47.7059,-122.301,1540,6361,495500
-1922059102,9/24/14,2,1.75,1840,7230,1,0,0,3,7,1570,270,1938,0,98030,47.3815,-122.228,1282,6769,245000
-6738700005,5/29/14,2,1,1320,1824,1.5,0,0,4,6,1320,0,1909,0,98144,47.585,-122.294,1320,4000,395000
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-7923700020,11/21/14,4,2,1570,7320,1,0,0,4,7,1570,0,1960,0,98007,47.5967,-122.14,1530,8800,450000
-293600080,6/17/14,4,2.25,1930,7207,1,0,0,4,7,1360,570,1988,0,98030,47.3783,-122.182,1760,7207,280000
-3627800050,7/15/14,5,4,3760,22763,1,0,3,4,11,1910,1850,1969,0,98040,47.5333,-122.22,3730,11201,1380000
-4047200950,6/9/14,2,1,1000,31505,1,0,0,3,6,1000,0,1960,0,98019,47.7659,-121.899,1560,22597,265000
-5458800425,4/23/15,3,1.75,1930,9600,1,0,0,3,8,1930,0,1958,0,98040,47.5747,-122.237,2350,9840,795000
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-5634500182,7/15/14,4,1.75,1970,12409,1,0,0,4,7,1220,750,1968,0,98028,47.7489,-122.236,1690,10720,396000
-2472950170,5/7/15,3,2.25,2860,8458,2,0,0,3,7,2860,0,1983,0,98058,47.4269,-122.148,1760,8458,365000
-9557300190,7/11/14,3,2.25,1900,7225,1,0,0,3,8,1220,680,1970,0,98008,47.6394,-122.113,1900,7399,440000
-2314300170,11/4/14,4,2.5,2090,6667,2,0,0,3,8,2090,0,1997,0,98058,47.4648,-122.15,2250,6165,405000
-7547300050,5/15/14,3,1.5,850,2500,1,0,0,3,7,850,0,1986,0,98106,47.5677,-122.36,850,5000,295000
-7985400089,5/15/14,4,2.5,1840,1562,2,0,0,3,7,1400,440,2004,0,98106,47.5345,-122.364,1840,1766,275000
-322059049,10/3/14,2,1,820,288367,1,0,0,3,6,820,0,1930,1986,98042,47.4196,-122.165,1580,8154,295000
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-11501330,9/2/14,3,3.5,3190,10223,2,0,0,3,10,2560,630,1994,0,98052,47.6968,-122.102,3120,9735,795000
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-7525570020,4/21/15,4,2.5,2590,9341,2,0,0,3,8,2590,0,1985,0,98052,47.6496,-122.114,2280,9510,790100
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-1424059142,6/5/14,4,3.5,3500,8547,2,0,0,3,9,2500,1000,1994,0,98006,47.5613,-122.126,2350,10270,799000
-5700003810,7/23/14,4,2.25,3920,7200,2,0,0,3,10,3120,800,1928,0,98144,47.5731,-122.284,3400,7200,1480000
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-4217400680,10/6/14,4,3,2720,4800,1.5,0,0,5,8,1790,930,1928,0,98105,47.6595,-122.283,2260,4800,1020000
-1336800670,12/29/14,5,3,2840,6240,2,0,0,5,9,2440,400,1905,0,98112,47.6285,-122.309,2940,6000,1430000
-1545801850,7/23/14,3,1.75,1260,7362,1,0,0,3,7,1260,0,1984,0,98038,47.3602,-122.052,1530,7232,240000
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-1394300005,5/7/14,2,1,820,6400,1,0,0,4,7,820,0,1944,0,98126,47.55,-122.379,1490,6400,361280
-7011201087,8/4/14,3,1.75,1220,1450,1,0,0,3,6,620,600,1905,0,98119,47.6361,-122.368,1660,2960,385000
-1623069071,11/5/14,3,2.5,2220,60984,2,0,0,4,8,2220,0,1987,0,98027,47.4802,-122.052,1930,55333,475000
-1982200480,4/2/15,4,2.5,2860,3638,1.5,0,2,5,7,1720,1140,1924,0,98107,47.6631,-122.361,1760,3880,724950
-8089510170,10/27/14,5,4.5,4230,9701,2,0,0,3,10,4230,0,1999,0,98006,47.5444,-122.131,4130,12253,935000
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-6308000010,12/8/14,3,2.5,2290,5089,2,0,0,3,9,2290,0,2001,0,98006,47.5443,-122.172,2290,7984,585000
-6308000010,4/23/15,3,2.5,2290,5089,2,0,0,3,9,2290,0,2001,0,98006,47.5443,-122.172,2290,7984,585000
-4136960010,3/27/15,5,3.5,3480,12821,2,0,2,3,10,2890,590,2004,0,98092,47.2641,-122.215,3400,9870,480000
-8665900168,11/5/14,4,2.5,4260,36360,1.5,0,0,4,8,4100,160,1935,0,98155,47.764,-122.302,2430,17888,635000
-8691510170,2/4/15,3,2.5,2230,5717,2,0,0,3,7,2230,0,2004,0,98058,47.4388,-122.117,2230,5194,368750
-9187200095,12/2/14,6,2,3080,5500,2,0,0,1,7,3080,0,1900,0,98122,47.6031,-122.296,1830,5000,432500
-4221260050,9/3/14,3,2.5,2250,4337,2,0,0,3,8,2250,0,2004,0,98075,47.5908,-122.017,2250,4721,589000
-8562740480,4/14/15,4,3.25,3160,6327,2,0,0,3,9,2280,880,2004,0,98027,47.536,-122.066,3160,5946,840000
-6806100250,3/5/15,3,2.5,1770,3873,2,0,0,3,7,1770,0,2005,0,98058,47.4648,-122.144,2280,4330,316500
-7853300280,2/13/15,4,2.5,2880,8833,2,0,0,3,7,2880,0,2006,0,98065,47.5388,-121.89,2570,5234,536000
-6446200190,4/20/15,4,2.75,2690,25000,1,0,0,3,8,1750,940,1978,0,98029,47.5537,-122.026,2640,28250,563750
-4222310010,12/26/14,4,1,1730,7350,1.5,0,0,4,6,1730,0,1970,0,98003,47.3467,-122.307,1440,7752,152500
-4222310010,4/20/15,4,1,1730,7350,1.5,0,0,4,6,1730,0,1970,0,98003,47.3467,-122.307,1440,7752,267950
-4054550010,4/13/15,5,4,4780,118047,2,0,0,3,11,4780,0,1994,0,98077,47.7243,-122.052,4040,31760,1640000
-1440700190,6/23/14,4,2.5,2540,8400,2,0,0,5,7,2540,0,1977,0,98032,47.3754,-122.277,1600,8050,269950
-5569620050,7/21/14,4,3,2630,5772,2,0,0,3,9,2630,0,2006,0,98052,47.6952,-122.133,3460,6158,731688
-1840200080,12/3/14,3,1.5,1890,9000,1,0,0,3,7,1190,700,1959,0,98188,47.4425,-122.272,2060,9000,240000
-9268200585,9/3/14,2,1,1220,5040,1,0,0,3,7,1220,0,1961,0,98117,47.6957,-122.364,1420,5040,555950
-7454000585,4/27/15,2,1,710,6300,1,0,0,3,6,710,0,1942,0,98126,47.5155,-122.374,740,6300,289000
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-7504021310,12/4/14,3,2.5,2970,11985,1,0,0,3,9,1770,1200,1995,0,98074,47.6359,-122.052,2990,12049,745000
-8024201795,11/17/14,2,1,1000,7664,1,0,2,3,7,1000,0,1939,0,98115,47.7001,-122.311,1570,6350,397000
-8638500170,4/22/15,3,1,1980,8505,1,0,0,3,7,1030,950,1965,0,98106,47.538,-122.353,1830,8505,233000
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-9264000010,7/29/14,3,2,2740,23505,2,0,4,3,10,2740,0,1988,0,98001,47.319,-122.26,2800,16400,535000
-3832600080,5/4/15,3,2.25,1740,7345,1,0,0,3,7,1380,360,1973,0,98032,47.3663,-122.285,1770,8250,270000
-9477001350,7/22/14,3,1.75,1300,7770,1,0,0,3,7,1300,0,1967,0,98034,47.7347,-122.192,1520,7600,360000
-809001060,5/13/14,4,1.5,2740,4000,2,0,0,5,9,1930,810,1905,0,98109,47.6343,-122.352,1680,4000,1110000
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-6446200050,5/4/15,3,1.75,2590,25992,1,0,0,3,8,1970,620,1968,0,98029,47.5521,-122.03,2590,29250,540000
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-3971700635,5/6/15,4,3,2270,7245,1,0,0,3,7,1410,860,1979,0,98155,47.7722,-122.315,1740,7571,435000
-3625059109,5/8/14,4,3,2920,33976,1,0,3,5,8,1460,1460,1964,0,98008,47.6164,-122.104,2970,15210,1050000
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-1123049027,3/19/15,3,1,1100,27008,1,0,0,3,6,960,140,1935,0,98178,47.4963,-122.249,1280,8890,157500
-1938400010,12/17/14,3,1.75,1500,7475,1,0,0,4,8,1500,0,1976,0,98023,47.3155,-122.365,1940,7475,244000
-3204900010,2/11/15,3,2.5,2800,10603,2,0,0,3,9,2800,0,2001,0,98011,47.7528,-122.195,2580,10603,550000
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-9834200305,7/16/14,3,1,1790,3876,1.5,0,0,5,7,1090,700,1904,0,98144,47.575,-122.288,1360,4080,350000
-9834200305,2/10/15,3,1,1790,3876,1.5,0,0,5,7,1090,700,1904,0,98144,47.575,-122.288,1360,4080,615000
-3396820010,2/23/15,3,2.25,2220,12056,2,0,0,3,8,2220,0,1985,0,98052,47.7148,-122.101,2320,12025,542000
-1929300415,11/19/14,4,1.75,2000,6000,1,0,3,5,7,1000,1000,1956,0,98109,47.6428,-122.348,2610,4377,710000
-8001600130,5/1/15,3,2.5,1770,9450,1,0,0,3,8,1770,0,1988,0,98001,47.3196,-122.272,2200,8582,289950
-3835500585,10/16/14,4,2.75,4280,12668,2,0,0,3,9,3900,380,1947,2008,98004,47.6185,-122.219,3590,12670,1900000
-7518505910,11/19/14,2,1,1260,5100,1.5,0,0,4,7,1120,140,1925,0,98117,47.6805,-122.384,1260,5100,528000
-7518505610,3/25/15,2,1,840,5100,1,0,0,4,7,840,0,1949,0,98117,47.6779,-122.384,1550,5100,471000
-5412100920,12/3/14,4,2.75,1830,6643,2,0,0,3,8,1830,0,2001,0,98001,47.2601,-122.286,2400,6472,250000
-2329700440,10/27/14,3,1.5,970,8400,1,0,0,3,7,970,0,1966,0,98003,47.3284,-122.331,1230,8400,155000
-923000413,8/18/14,4,1.5,1740,8160,1.5,0,0,4,7,1400,340,1946,0,98177,47.7243,-122.363,1600,8160,515000
-9406521150,3/5/15,3,2.25,1654,8464,2,0,0,3,7,1654,0,1995,0,98038,47.3618,-122.033,1975,8515,336600
-810000080,3/10/15,3,2.25,2390,2750,2,0,0,5,8,1580,810,1925,0,98109,47.6339,-122.354,2200,5160,915000
-3762900130,7/15/14,2,1.75,1080,7242,2,0,0,4,7,1080,0,1984,0,98034,47.7065,-122.235,1800,7321,350000
-1651800010,7/2/14,4,1.75,2610,21600,1,0,0,4,8,2610,0,1966,0,98004,47.6245,-122.227,2920,20330,1300000
-3876500290,3/5/15,3,1,1070,6164,1,0,0,3,7,1070,0,1967,0,98001,47.3377,-122.291,1320,7920,175000
-4443800545,3/30/15,2,2,1430,3880,1,0,0,4,7,1430,0,1949,0,98117,47.6844,-122.392,1430,3880,545000
-9218400050,12/27/14,4,3,2400,5400,2,0,2,4,7,1600,800,1965,0,98178,47.5099,-122.26,2400,5400,475000
-1023059108,4/30/15,2,1,670,11505,1,0,0,3,5,670,0,2003,0,98059,47.499,-122.157,2180,11505,390000
-2787250190,7/17/14,4,2.5,2860,14000,2,0,0,3,8,2860,0,1995,0,98019,47.7306,-121.973,2650,14564,645000
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-2607760190,3/31/15,4,2.5,2180,9861,2,0,2,3,8,2180,0,1997,0,98045,47.4817,-121.802,2390,9761,480000
-1250203135,7/1/14,3,1.75,1860,6000,2,0,2,4,8,1860,0,1959,0,98144,47.5981,-122.288,3030,7119,725000
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-7304301300,7/2/14,2,1,1010,11919,1,0,0,3,6,1010,0,1947,0,98155,47.7461,-122.322,1220,11240,300000
-8835400290,3/9/15,4,2.5,2570,8178,1,0,2,3,8,1710,860,1961,0,98118,47.5483,-122.261,2050,7500,752000
-3630030440,9/23/14,4,2.5,1950,3720,2,0,0,3,8,1950,0,2004,0,98029,47.5503,-121.997,1720,3720,585000
-1088000050,2/13/15,3,1.75,1970,10548,1,0,0,4,8,1300,670,1973,0,98033,47.6669,-122.179,2500,8548,678700
-7504010480,4/17/15,4,2.25,2110,11155,2,0,0,3,9,2110,0,1975,0,98074,47.6386,-122.058,2660,11900,603000
-8644500010,3/20/15,3,1.75,1650,7276,1.5,0,4,4,7,1150,500,1928,0,98117,47.6989,-122.399,2300,8088,715000
-1326059142,10/28/14,4,3,3520,128502,2,0,2,4,10,3520,0,1981,0,98072,47.7448,-122.117,3260,79714,1400000
-3754501205,4/29/15,3,2.5,2840,7500,2,0,3,3,11,2840,0,1997,0,98034,47.7049,-122.224,2580,5918,1090000
-7625701900,2/22/15,2,1.75,1490,4800,1,0,0,4,7,750,740,1918,0,98136,47.5496,-122.391,1400,6000,467500
-1926049398,10/13/14,3,2.25,1650,7218,1,0,0,3,7,1230,420,1985,0,98133,47.7237,-122.335,1690,7459,359000
-6372000190,8/26/14,4,2,1960,4520,1,0,0,3,8,960,1000,1922,2001,98116,47.58,-122.405,1680,4520,745000
-3622059088,5/13/14,3,2.25,2450,42180,1,0,0,4,7,2450,0,1978,2000,98042,47.3549,-122.111,1440,42180,450000
-809003105,4/8/15,3,2,1720,2000,1.5,0,0,3,8,1060,660,1910,2000,98109,47.6384,-122.35,1590,4000,935000
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-1241500351,9/29/14,3,2.5,4110,35741,2,0,0,3,7,4110,0,1976,0,98033,47.6642,-122.171,2710,8865,1030000
-7457400250,1/6/15,4,2.5,1990,5577,2,0,0,3,7,1990,0,1999,0,98092,47.3191,-122.191,2020,6400,283500
-6154900130,12/2/14,2,1,860,7102,1,0,0,3,6,860,0,1947,0,98177,47.7042,-122.369,1450,7102,340000
-1853500130,2/25/15,4,2.5,2320,9264,2,0,0,3,8,2320,0,1994,0,98188,47.4449,-122.274,2320,9129,370000
-1854750010,8/20/14,3,2.5,4190,9624,2,0,0,3,10,4190,0,1999,0,98006,47.5642,-122.127,3650,8321,1150000
-9320500080,5/10/14,4,1,1940,9533,1,0,0,3,7,1080,860,1962,0,98031,47.4139,-122.208,1940,8839,265000
-7228500415,8/26/14,4,2.25,2520,2370,2,0,0,3,8,1690,830,1908,0,98122,47.6109,-122.303,1530,2370,480000
-3142600130,6/17/14,3,2,1880,3800,1,0,0,5,7,1030,850,1927,0,98115,47.6841,-122.309,1700,3800,667500
-629000605,2/27/15,3,2.5,2910,10044,2,0,0,4,10,2910,0,1989,0,98004,47.5845,-122.199,2420,12287,1400000
-5536100005,8/8/14,7,4.75,5310,8816,2,0,0,3,10,3650,1660,2013,0,98004,47.6221,-122.208,2920,10610,2300000
-3990000050,6/16/14,3,2.25,2670,7500,1,0,0,4,7,1640,1030,1966,0,98166,47.4608,-122.354,1970,9598,465000
-1320069249,10/20/14,1,1,470,63737,1,0,2,5,5,470,0,1924,0,98022,47.2163,-121.984,1350,46762,192500
-9357000635,3/23/15,3,1,1060,5600,1,0,0,4,6,760,300,1943,0,98146,47.5116,-122.379,1310,5600,345000
-2207200635,6/2/14,3,1.5,1120,6900,1,0,0,5,7,1120,0,1956,0,98007,47.6023,-122.132,1300,7000,439800
-3798000130,7/25/14,4,1.75,2250,8580,1,0,0,4,7,1330,920,1958,0,98011,47.7633,-122.199,2250,10032,468000
-2680700010,7/24/14,4,2.5,2070,8473,1,0,0,4,8,1250,820,1976,0,98033,47.6608,-122.19,2070,9499,775000
-3066200440,6/8/14,4,2.25,2370,9360,2,0,0,4,8,2370,0,1979,0,98052,47.6518,-122.123,2370,9720,684680
-3293400020,1/16/15,4,3.5,3570,27699,2,0,0,3,11,3570,0,1990,0,98052,47.7173,-122.098,3800,35880,910000
-2425049063,9/11/14,4,3.25,4830,22257,2,1,4,4,11,4830,0,1990,0,98039,47.6409,-122.241,3820,25582,3640000
-114101426,6/17/14,3,1.75,1160,22470,1,0,0,4,7,1160,0,1976,0,98028,47.7595,-122.23,1940,15999,375000
-100500020,9/11/14,3,2.5,1610,6600,2,0,0,3,7,1610,0,1994,0,98003,47.2827,-122.302,1660,7689,250000
-1732800780,2/12/15,5,3,4150,7500,2.5,0,4,5,11,3510,640,1909,0,98119,47.6303,-122.362,2250,4050,3070000
-7955050250,11/25/14,4,2.25,1840,7575,1,0,0,4,7,1390,450,1973,0,98034,47.7328,-122.198,1820,7500,442500
-3521059134,5/23/14,3,3.5,4080,217697,1.5,0,3,3,10,4080,0,2000,0,98092,47.2604,-122.139,2710,217790,900000
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-1393800005,5/7/15,2,1,900,6656,1,0,0,3,7,900,0,1940,0,98126,47.5467,-122.377,1230,6400,355000
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-2968800825,3/23/15,3,1.75,1450,7620,1,0,0,4,7,1050,400,1955,0,98166,47.4569,-122.354,1380,7620,300000
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-5458800415,11/5/14,3,1.5,1740,9840,1,0,0,4,8,1740,0,1963,0,98040,47.5748,-122.237,1930,9840,616000
-8929000250,4/13/15,2,1.75,1210,1161,2,0,0,3,8,1210,0,2014,0,98029,47.5513,-121.998,1700,2285,395000
-7893206305,10/6/14,3,1.5,2100,10000,1,0,0,4,7,2100,0,1954,0,98198,47.4222,-122.331,1300,7500,245000
-7956300020,6/3/14,3,1,1060,9600,1,0,0,4,6,1060,0,1962,0,98023,47.2878,-122.358,1060,9604,206000
-240000130,10/13/14,4,2.5,3280,16575,1,0,0,3,9,2190,1090,1972,0,98188,47.426,-122.285,1570,13209,706000
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-4299000130,7/28/14,5,3,3070,5252,2,0,0,3,8,3070,0,2005,0,98042,47.3666,-122.128,2760,5203,341950
-1233100351,12/11/14,3,1,1150,9048,1,0,0,2,7,1150,0,1922,0,98033,47.6755,-122.177,1550,8207,305000
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-2592400250,1/7/15,4,2.25,2130,7200,2,0,0,3,7,2130,0,1972,0,98034,47.7152,-122.168,1990,7200,445000
-4364700595,8/18/14,3,1,1050,7560,1,0,0,3,7,1050,0,1951,0,98126,47.525,-122.371,1490,7560,333000
-8562750660,8/7/14,4,2.5,2520,3980,2,0,0,3,8,2520,0,2005,0,98027,47.5401,-122.07,2610,3980,598500
-7231600098,10/14/14,2,1,700,6000,1,0,0,3,6,700,0,1943,0,98055,47.4671,-122.212,1320,6000,225000
-8635750980,7/14/14,4,2.5,2640,4200,2,0,0,3,8,2640,0,1998,0,98074,47.6038,-122.02,2460,4200,570000
-5652600605,8/7/14,5,2,2330,6783,1,0,0,3,7,1310,1020,1956,0,98115,47.6955,-122.295,1930,6783,630000
-2141310020,4/16/15,5,2.25,2830,7738,2,0,0,4,8,2830,0,1977,0,98006,47.5582,-122.136,2300,9840,779000
-7852160080,1/21/15,4,3.5,3720,13591,2,0,3,3,10,3720,0,2004,0,98065,47.536,-121.858,4210,14282,760000
-3649100346,1/9/15,5,1.75,1890,9600,1,0,0,4,7,1890,0,1960,0,98028,47.7391,-122.241,2350,5308,322968
-7852010840,7/29/14,4,2.5,2910,7287,2,0,0,3,8,2910,0,1998,0,98065,47.5354,-121.869,2420,6180,595000
-823059145,10/13/14,4,1,1300,18836,1,0,0,4,7,1300,0,1941,0,98056,47.5029,-122.188,1540,8498,321000
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-6329000190,7/29/14,4,1.75,2520,21834,1,1,4,3,8,1420,1100,1960,0,98146,47.4996,-122.378,1700,8100,750000
-8818900250,5/7/14,3,1,1340,4284,1,0,0,3,7,1080,260,1910,0,98105,47.6633,-122.324,1960,4080,530000
-1250200415,6/9/14,2,1.75,1060,1241,2,0,0,3,7,960,100,2008,0,98144,47.5999,-122.3,1170,1400,352750
-3303951150,2/4/15,4,2.5,2480,8563,2,0,0,3,8,2480,0,1992,0,98038,47.381,-122.033,2460,8660,424950
-3083000048,5/30/14,5,2.75,2220,4000,1,0,0,3,7,1230,990,1973,0,98144,47.5754,-122.305,1580,4000,427000
-1102000095,8/5/14,4,2.5,3220,5120,2,0,0,3,9,2420,800,2000,0,98118,47.5434,-122.27,1770,7680,558000
-3426049153,11/10/14,2,2,1600,5643,1,0,0,3,7,1600,0,1954,0,98115,47.6968,-122.279,1600,5746,438200
-7625700020,9/29/14,1,1,640,4800,1,0,0,3,6,640,0,1918,0,98136,47.5551,-122.382,1250,2847,340000
-586000020,8/28/14,4,3.75,3610,7904,3,0,0,3,11,3290,320,1994,0,98117,47.6992,-122.385,2460,7300,830005
-8724300010,9/9/14,4,3.25,3420,5012,2,0,0,3,10,2330,1090,2008,0,98019,47.732,-121.982,2320,5465,548000
-2741100741,6/4/14,3,1.75,1840,5101,1,0,0,5,7,1040,800,1952,0,98108,47.5585,-122.317,1340,5000,411715
-3425059173,10/28/14,4,4,2790,16117,2,0,0,4,9,2790,0,1999,0,98005,47.6033,-122.155,2740,25369,865000
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-7504100920,6/18/14,3,3,3450,16200,2,0,0,3,10,3450,0,1983,0,98074,47.6319,-122.041,3130,12150,688000
-5104520460,3/17/15,4,2.5,2350,5100,2,0,0,3,8,2350,0,2003,0,98038,47.3507,-122.007,2190,5100,399950
-1257200020,3/27/15,3,1,1250,4590,1.5,0,0,3,6,970,280,1903,0,98115,47.6757,-122.327,1830,4080,555000
-4452300130,5/22/14,3,2,2000,3207,1,0,0,4,7,1100,900,1916,0,98103,47.6561,-122.341,1460,3200,677000
-8651520420,6/6/14,3,2,2260,9568,1,0,0,3,8,1780,480,1985,0,98074,47.6457,-122.058,2250,9744,539000
-6401700010,8/19/14,3,1.75,1510,6597,1,0,0,4,6,950,560,1939,0,98144,47.5938,-122.315,1460,5320,410000
-8857320130,3/10/15,2,2.25,1800,2748,2,0,0,4,9,1800,0,1979,0,98008,47.6104,-122.113,1800,2755,472000
-1102000759,10/26/14,3,2.5,2420,8856,1,0,3,3,9,1620,800,1957,0,98118,47.5405,-122.263,2650,9750,755000
-6457000080,8/5/14,5,1.75,1750,8325,1,0,0,5,7,1750,0,1966,0,98031,47.4007,-122.198,1430,8325,269900
-1126059022,7/22/14,4,2.5,2660,40312,2,0,0,4,8,2660,0,1977,0,98072,47.7532,-122.139,2650,45302,667400
-4340000010,10/30/14,3,2.25,2640,7544,1,0,0,3,10,2640,0,1995,0,98004,47.6224,-122.195,2650,7904,1220000
-3052700460,6/30/14,3,2.5,1460,1613,2,0,0,3,8,1180,280,2007,0,98117,47.6781,-122.375,1460,1403,544000
-567000020,4/28/15,2,1,1570,5000,1.5,0,3,4,8,1570,0,1924,0,98144,47.5955,-122.294,1760,3000,800000
-3575304017,8/22/14,3,1,1010,7500,1,0,0,4,7,1010,0,1975,0,98074,47.6172,-122.061,1250,10000,315000
-7812801700,6/10/14,4,1,1200,7200,1.5,0,0,3,6,1200,0,1944,0,98178,47.4951,-122.248,1070,6050,227000
-5103300020,10/20/14,4,2.5,4040,25752,2,0,0,3,10,4040,0,2000,0,98038,47.4579,-122.068,3230,22247,765000
-9578080130,7/2/14,3,3,1820,1641,3,0,0,3,8,1540,280,2006,0,98119,47.6482,-122.358,1720,1501,625000
-3885803044,9/2/14,4,5,5810,7440,2,0,0,3,10,3790,2020,2004,0,98033,47.6878,-122.212,3010,7200,1880000
-9323600280,2/11/15,4,2.5,3010,9600,1,0,2,3,9,1510,1500,1979,0,98006,47.5519,-122.156,2780,10000,822600
-7016100380,4/23/15,4,2.5,1910,8947,1,0,0,4,8,1160,750,1970,0,98011,47.7374,-122.183,1920,7350,515000
-3438500114,5/12/15,4,2,1640,5014,1,0,0,4,7,930,710,1982,0,98106,47.5545,-122.356,1600,5452,377000
-2597800010,3/4/15,3,1,1480,17360,1,0,1,3,8,1480,0,1954,0,98136,47.5179,-122.387,2250,8720,600000
-8018000020,11/14/14,4,1.75,2520,7770,1,0,0,3,8,1680,840,1965,0,98177,47.7721,-122.372,2340,7770,525300
-4055700167,8/14/14,4,3,2840,13554,1,0,2,4,9,1990,850,1974,0,98034,47.7153,-122.257,2840,16940,760000
-1863900190,12/29/14,2,1,840,7200,1,0,0,4,5,840,0,1907,0,98032,47.3769,-122.237,1030,7200,202000
-522079027,6/19/14,3,2,1730,38884,1,0,0,3,8,1730,0,1997,0,98038,47.4164,-121.951,2130,91040,470000
-7525530470,7/25/14,3,2.5,3140,10983,2,0,0,3,10,3140,0,1991,0,98075,47.5595,-122.04,3140,10983,810000
-8858100020,3/16/15,3,1,1480,8415,1,0,0,3,7,1080,400,1967,0,98188,47.4585,-122.283,1780,8512,175000
-6414100231,10/15/14,4,1.75,1920,7986,1,0,0,3,7,960,960,1952,0,98125,47.7209,-122.318,1700,7452,440000
-6303400460,3/30/15,2,1,770,8636,1,0,0,2,6,770,0,1951,0,98146,47.5075,-122.358,1110,8636,197000
-9476200020,3/6/15,3,1,1010,7384,1,0,2,5,6,1010,0,1943,0,98056,47.4905,-122.191,1010,8000,254000
-3575302938,6/20/14,3,1,1460,10000,1.5,0,0,3,7,1460,0,2002,0,98074,47.6214,-122.063,1910,10000,405000
-2695600190,3/27/15,2,1,940,4264,1,0,0,5,7,940,0,1949,0,98126,47.5314,-122.378,1630,4472,416000
-9433000470,9/19/14,4,2.75,2840,4864,3,0,0,3,9,2840,0,2014,0,98052,47.7103,-122.108,2990,5314,779950
-7140200250,1/12/15,4,2.75,1910,7210,1,0,0,4,7,1430,480,1980,0,98030,47.3693,-122.169,1750,7446,200000
-3905090130,7/17/14,4,2.5,2430,8509,2,0,0,3,9,2430,0,1992,0,98029,47.5714,-121.991,2760,8509,658100
-3335000050,7/14/14,2,1.75,1610,4104,1,0,0,3,7,950,660,1996,0,98118,47.5565,-122.275,1510,5284,397000
-4397650080,10/15/14,3,3.75,2780,5002,2,0,0,3,10,2780,0,1999,0,98007,47.5939,-122.15,3110,5717,815000
-1568100380,10/16/14,2,1,1160,8504,1,0,0,4,7,1160,0,1949,0,98155,47.7364,-122.295,1320,8504,345000
-8078570460,9/24/14,4,2.5,1850,7199,2,0,0,4,7,1850,0,1989,0,98031,47.4031,-122.172,1940,7432,305500
-6382000080,7/8/14,3,2.25,2120,13090,1,0,0,3,8,2120,0,1997,0,98002,47.296,-122.219,1400,12039,340000
-7905380080,2/26/15,5,2.5,2620,12763,1,0,0,3,7,1400,1220,1979,0,98034,47.72,-122.213,2390,9156,330000
-6600490250,4/21/15,4,2.5,2060,3608,2,0,0,3,7,2060,0,2004,0,98198,47.362,-122.309,2060,3608,269000
-7200001756,6/12/14,3,1,1060,9525,1,0,0,3,7,1060,0,1966,0,98052,47.6855,-122.111,1630,9525,349950
-4427100130,3/4/15,3,1,1500,6240,1,0,0,4,7,1500,0,1953,0,98125,47.7281,-122.311,1230,6240,431000
-5606000255,10/17/14,4,1.75,2380,5700,2,0,1,4,7,1820,560,1946,0,98105,47.6656,-122.271,2190,5700,735000
-1402700170,7/17/14,5,3,3045,5030,2,0,0,3,8,3045,0,1999,0,98058,47.4386,-122.127,3045,5322,414000
-5366200460,5/20/14,3,2.5,1700,4105,2,0,0,3,8,1700,0,1992,0,98122,47.6078,-122.292,1880,3665,619500
-1245500725,10/30/14,3,1.75,1240,13869,1,0,0,4,7,1240,0,1957,0,98033,47.6919,-122.21,1970,7790,675000
-9477201060,4/23/15,3,1,1410,7854,1,0,0,4,7,1410,0,1971,0,98034,47.7303,-122.192,1460,7500,380500
-4060000290,6/17/14,3,1.5,880,6600,1,0,0,5,6,880,0,1945,0,98178,47.5002,-122.247,1020,6600,253000
-522059327,5/28/14,2,1,740,9003,1,0,0,3,5,740,0,1949,0,98031,47.4217,-122.197,1230,8050,157500
-686530020,6/9/14,4,2,2030,9300,1,0,0,4,8,2030,0,1976,0,98052,47.6658,-122.149,1800,9018,627000
-5145100460,9/24/14,4,2.5,2090,7241,1,0,0,4,7,1140,950,2001,0,98034,47.726,-122.221,1510,7402,469500
-6329000380,6/19/14,2,1,920,8341,1,0,0,3,7,920,0,1939,0,98146,47.5015,-122.38,2330,9792,319950
-8960200280,2/18/15,3,1,1180,7200,1,0,0,4,7,1180,0,1968,0,98058,47.4249,-122.178,1180,7200,249500
-2867100007,2/23/15,3,1,1260,3230,1.5,0,0,3,7,1260,0,1907,0,98119,47.644,-122.369,1700,3500,485000
-9542100005,10/24/14,5,3,3690,10260,1,0,4,4,9,2070,1620,1967,0,98005,47.5919,-122.176,3160,14000,1130000
-1545807280,6/28/14,3,1.75,1700,17355,1,0,0,3,7,1200,500,1978,0,98038,47.3637,-122.057,1900,9528,314500
-3996900460,4/3/15,2,1,770,8149,1,0,0,3,6,770,0,1948,0,98155,47.7467,-122.3,880,8149,220000
-217500005,11/24/14,3,2.5,2020,7800,1,0,0,4,7,1330,690,1958,0,98133,47.7368,-122.337,1870,7800,444950
-1513800080,8/25/14,4,2.5,2030,9825,1,0,0,3,8,1330,700,1985,0,98115,47.6892,-122.3,2180,7500,598000
-8691390460,6/16/14,4,3.5,2690,6164,2,0,0,3,9,2690,0,2002,0,98075,47.599,-121.973,2910,5000,699850
-6633900170,5/8/14,3,2.5,1750,3354,2,0,0,4,7,1750,0,1991,0,98033,47.6953,-122.199,1750,4286,595000
-205000050,12/18/14,4,2.5,3270,45537,2,0,0,3,9,3270,0,1993,0,98053,47.6303,-121.984,2670,38827,735000
-8838900167,5/9/14,4,2.5,2330,14289,2,0,0,4,8,2330,0,1978,0,98007,47.5916,-122.148,2210,12823,542500
-7199330170,5/12/15,3,1.75,1720,6960,1,0,0,3,7,1140,580,1978,0,98052,47.6972,-122.129,1720,7280,450000
-236500050,7/28/14,3,2,2420,8800,1,0,0,4,7,1420,1000,1959,0,98188,47.4322,-122.291,1546,8666,298500
-2025049028,6/9/14,2,1,710,1136,2,0,0,4,7,710,0,1943,0,98102,47.6414,-122.329,1370,1173,403950
-3298700305,12/29/14,2,1,710,4240,1,0,0,4,6,710,0,1942,0,98106,47.5226,-122.351,850,5200,271000
-6145600780,9/11/14,2,1,1510,3844,1,0,0,4,7,1510,0,1923,1970,98133,47.7038,-122.348,1170,3844,335000
-1332700010,12/16/14,2,2.25,1610,1968,2,0,0,5,7,1610,0,1979,0,98056,47.5184,-122.196,1950,1968,305000
-2768300655,3/17/15,3,3,1880,2200,2,0,0,3,8,1520,360,2007,0,98107,47.6666,-122.367,1500,1426,630000
-7224500010,6/3/14,2,1.75,1220,5000,1,0,0,5,7,860,360,1921,0,98055,47.4906,-122.204,1120,5000,253000
-4037000185,9/19/14,4,1.75,2060,7900,1,0,0,4,7,1070,990,1957,0,98008,47.6028,-122.12,1830,8000,395000
-7614100020,10/17/14,3,2.5,1340,10290,1,0,0,4,7,1140,200,1981,0,98042,47.3553,-122.149,1760,7903,265000
-1423400225,7/21/14,2,1,1030,9192,1,0,0,4,6,1030,0,1959,0,98058,47.4565,-122.181,1030,9190,225000
-5419000050,9/17/14,4,2.5,2717,4513,2,0,0,3,8,2717,0,2005,0,98001,47.3373,-122.266,2550,4841,338500
-5151200290,5/12/14,2,1.75,1360,8100,1,0,0,3,7,860,500,1975,0,98177,47.7295,-122.359,1830,6766,300000
-4060000170,8/20/14,2,1,1260,7810,2,0,0,3,6,1260,0,1945,0,98178,47.5003,-122.248,1260,7755,255000
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-8644300170,7/3/14,5,2.25,3000,13899,2,0,0,4,8,3000,0,1975,0,98052,47.6373,-122.105,2270,10763,600000
-9523102660,5/13/14,3,1,1440,5000,2,0,0,3,7,1440,0,1910,0,98103,47.6741,-122.354,1850,4500,560000
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-7588700007,11/24/14,3,1,1170,3348,1.5,0,0,4,7,1170,0,1924,0,98117,47.687,-122.378,1590,4219,457000
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-9545230280,5/7/14,3,2,1860,13374,1,0,0,3,8,1860,0,1985,0,98027,47.5397,-122.054,1960,9797,560000
-7905200130,4/5/15,2,1,770,3008,1,0,0,4,5,770,0,1917,0,98116,47.5686,-122.389,1550,4563,345000
-2742100250,7/20/14,4,3.5,3820,17745,2,0,2,3,8,2440,1380,1955,0,98108,47.557,-122.295,2520,9640,550000
-5104540500,6/24/14,4,2.5,3190,8195,2,0,0,3,10,3190,0,2006,0,98038,47.3555,-122.003,3400,7607,589950
-638100073,6/2/14,3,1.5,1320,13200,1,0,0,3,7,1320,0,1970,0,98059,47.5009,-122.143,1730,13200,327000
-3022039071,5/30/14,2,2.25,1730,31491,2,1,2,4,7,1730,0,1947,1988,98070,47.373,-122.464,1400,12410,800000
-3426079024,5/21/14,3,1,1010,25000,1,0,0,3,6,1010,0,1966,0,98014,47.6927,-121.901,2020,101494,150000
-2767604254,6/3/14,2,2.5,1140,1182,3,0,0,3,8,1140,0,2007,0,98107,47.6713,-122.383,1290,1189,425000
-1138010170,8/1/14,3,1,860,7030,1,0,0,3,7,860,0,1973,0,98034,47.7151,-122.211,1360,7500,350000
-9407100500,3/11/15,3,1.75,1540,10545,2,0,0,4,6,1540,0,1978,0,98045,47.4451,-121.763,1540,10000,273000
-191100250,3/20/15,4,2.25,2160,9525,1,0,0,3,8,1080,1080,1961,0,98040,47.5651,-122.221,2780,9525,750000
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-8732020670,3/20/15,3,1.75,1830,9620,1,0,0,4,8,1830,0,1978,0,98023,47.3123,-122.389,1990,8280,400000
-5029450290,10/3/14,3,1.5,1630,6625,1,0,0,5,7,980,650,1980,0,98023,47.29,-122.368,1440,7145,230000
-8035600290,4/13/15,4,2.5,2500,8215,2,0,0,3,8,2500,0,1990,0,98031,47.4124,-122.204,2360,7801,372000
-6450301835,7/5/14,3,1.75,1470,4950,1,0,0,3,7,1030,440,1984,0,98133,47.7325,-122.337,1100,5250,459500
-6388930420,8/5/14,3,2.5,2380,19860,2,0,0,4,8,2380,0,1995,0,98056,47.5255,-122.173,2450,10220,582000
-2296700470,11/6/14,4,2.5,2170,7700,1,0,0,3,7,1420,750,1969,0,98034,47.7216,-122.219,1710,7770,465000
-1473120190,5/30/14,3,2,2120,7560,1,0,0,3,9,2120,0,1991,0,98058,47.435,-122.16,2660,7700,386000
-11200290,6/9/14,3,2.5,1530,3464,2,0,0,3,8,1530,0,1998,0,98007,47.6179,-122.141,1530,3446,546000
-5530000050,10/27/14,3,1.75,2710,9088,1,0,0,4,7,2060,650,1965,0,98001,47.3073,-122.272,1690,10454,278000
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-3124089049,12/8/14,4,1.75,2800,90169,2,0,0,3,7,2800,0,1934,1985,98065,47.5204,-121.829,1600,27194,529000
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-1311200380,8/27/14,3,1,1730,7210,1,0,0,3,7,1430,300,1963,0,98001,47.3404,-122.28,1820,7210,210000
-9197100101,5/4/15,2,1,1010,5408,1,0,0,4,6,1010,0,1926,0,98032,47.3759,-122.238,980,7800,225000
-6646200280,7/15/14,4,2.5,2350,6624,2,0,0,3,9,2350,0,1990,0,98074,47.6262,-122.045,2590,11240,561600
-7116500920,5/20/14,6,5.25,2860,5682,2,0,0,3,7,2860,0,1978,0,98002,47.303,-122.221,1390,5956,300000
-1068000255,8/27/14,4,3.5,4285,9567,2,0,1,5,10,3485,800,1946,0,98199,47.6434,-122.409,2960,6902,1650000
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-4031000250,6/26/14,3,1,1310,9612,1,0,0,3,7,960,350,1962,0,98001,47.2958,-122.285,1310,9812,150000
-7625703260,9/24/14,2,1.75,2320,6250,1,0,0,3,7,1400,920,1948,0,98136,47.5468,-122.386,1420,6250,400950
-8651580660,1/21/15,4,2.25,2210,8101,2,0,0,3,9,2210,0,1985,0,98074,47.6475,-122.07,2330,8842,620000
-6117500980,8/18/14,4,2.75,2090,14141,1.5,0,0,4,8,1680,410,1941,0,98166,47.4333,-122.347,1990,12920,449000
-9547205380,7/28/14,4,2.5,2240,4025,1,0,2,3,7,1250,990,1926,2005,98115,47.6818,-122.311,1380,3500,630000
-414100280,4/14/15,2,1,1180,7200,1,0,0,4,6,1180,0,1949,0,98133,47.7475,-122.342,1180,7200,336000
-321059091,6/5/14,4,1.75,1560,31299,1,0,0,4,7,1560,0,1965,0,98092,47.3384,-122.164,2460,44907,299950
-7772000010,3/9/15,4,2,1970,7451,1,0,0,3,8,1350,620,1962,0,98133,47.765,-122.335,1980,7510,352500
-7200179,10/16/14,2,1,840,12750,1,0,0,3,6,840,0,1925,0,98055,47.484,-122.211,1480,6969,150000
-7200179,4/24/15,2,1,840,12750,1,0,0,3,6,840,0,1925,0,98055,47.484,-122.211,1480,6969,175000
-8029500380,7/31/14,3,2,1830,10873,1,0,0,3,8,1830,0,1989,0,98023,47.3066,-122.394,2490,8976,305000
-825059178,9/23/14,4,3.75,4475,20424,2,1,4,3,12,2659,1816,1999,0,98033,47.6646,-122.208,4340,5250,2570000
-6021502750,7/15/14,3,1.5,1800,4700,1,0,0,3,7,1200,600,1941,0,98117,47.6858,-122.385,1580,4700,607500
-9268200380,11/18/14,2,1,1250,5040,1,0,0,3,7,950,300,1920,0,98117,47.6959,-122.365,1290,5040,505000
-2008000420,10/27/14,3,1.75,2440,10179,1,0,0,4,7,1220,1220,1962,0,98198,47.4118,-122.314,1650,9711,280500
-8914100170,7/31/14,3,2.5,2910,12283,2,0,2,3,10,2910,0,1993,0,98058,47.4602,-122.152,2680,22499,610000
-6654700250,8/12/14,5,2.75,3060,6895,2,0,0,3,8,3060,0,2003,0,98042,47.3809,-122.098,2590,6895,381000
-6139800430,5/22/14,5,2.25,2230,9600,1,0,0,3,8,1320,910,1978,0,98077,47.7466,-122.076,2080,9760,482000
-9477201470,10/22/14,3,1,1270,6900,1,0,0,3,7,1270,0,1977,0,98034,47.7279,-122.192,1480,7280,379950
-3025300095,10/9/14,4,4.5,4300,19844,2,0,0,3,11,4300,0,1985,1999,98039,47.6218,-122.237,3070,19845,2500000
-3211290050,6/23/14,3,2.25,1580,39189,1,0,0,3,7,1180,400,1992,0,98053,47.6365,-121.972,1580,29649,425000
-7511200190,9/10/14,4,2.25,2570,36465,2,0,0,4,8,2570,0,1980,0,98053,47.6555,-122.042,2390,41454,580000
-5739601300,3/30/15,2,1,860,6510,1,0,0,3,7,860,0,1952,0,98004,47.6021,-122.202,1740,10800,605000
-3278602660,5/20/14,1,1,820,1060,1,0,0,3,8,760,60,2007,0,98126,47.5472,-122.372,1770,1853,194000
-8078410250,4/1/15,4,2.25,2090,8579,2,0,0,3,8,2090,0,1987,0,98074,47.6364,-122.03,1850,8843,546200
-2798000020,8/15/14,4,3.5,3560,16782,2,0,0,3,10,2560,1000,2014,0,98040,47.5569,-122.225,3100,18047,1400000
-2739200050,4/3/15,3,1.75,1860,9629,1,0,0,4,7,1240,620,1961,0,98059,47.4913,-122.143,1940,9629,315000
-9278200095,12/17/14,3,1.5,900,8690,1.5,0,0,5,6,900,0,1941,0,98116,47.5751,-122.393,1000,6150,465000
-3222079120,10/1/14,2,1,1160,32251,1,0,0,3,6,580,580,1963,2000,98010,47.3537,-121.939,1160,33656,330000
-4401200010,8/8/14,4,2.75,3100,7501,2,0,0,3,10,3100,0,1998,0,98052,47.6859,-122.109,3140,8672,795000
-2473250280,8/26/14,4,2.25,2300,9100,1,0,0,3,7,1280,1020,1977,0,98058,47.4576,-122.16,1640,9100,265000
-4441300170,1/12/15,4,2.5,3110,11857,2,0,4,3,11,2040,1070,1990,0,98117,47.6952,-122.402,3110,11570,1300000
-723049530,5/5/15,3,1,1130,12212,1,0,0,3,6,1130,0,1942,0,98146,47.4952,-122.34,1190,9240,126500
-6752510010,8/5/14,4,2.5,2920,7901,2,0,0,3,9,2920,0,2004,0,98052,47.7036,-122.125,3020,7900,760000
-955000430,9/3/14,2,1.25,1230,1569,2,0,0,3,9,1050,180,2009,0,98112,47.6193,-122.304,1100,1230,540000
-8663100050,5/19/14,5,2.75,2190,12687,1,0,0,5,7,1370,820,1978,0,98028,47.7762,-122.257,2280,10784,446000
-226109056,3/26/15,1,0.75,850,5600,1,0,2,3,6,850,0,1903,1994,98019,47.7654,-121.48,900,12250,170000
-2558600130,10/23/14,3,2.5,1500,7420,1,0,0,3,7,1000,500,1972,0,98034,47.7236,-122.174,1840,7272,379000
-8823900290,3/17/15,9,4,4620,5508,2.5,0,0,3,11,3870,750,1915,0,98105,47.6684,-122.309,2710,4320,1400000
-8691400080,6/20/14,4,2.75,3150,7035,2,0,0,3,9,3150,0,2004,0,98075,47.5979,-121.974,3200,7035,800000
-621069102,3/16/15,3,1,1300,10139,1,0,0,3,7,1300,0,1962,2007,98042,47.3427,-122.087,1260,10139,260000
-5456000280,3/10/15,5,2.5,3160,8000,1,0,0,4,7,1580,1580,1960,0,98040,47.5735,-122.208,2440,8079,820000
-2891400380,4/14/15,3,1.75,2070,96703,1,0,3,4,7,2070,0,1999,0,98092,47.2853,-122.008,1820,117612,449950
-2297400020,9/2/14,3,2.25,1790,7125,1,0,0,3,7,1220,570,1974,0,98034,47.7184,-122.226,2040,7950,392000
-7215721350,4/22/15,3,2.5,1650,4636,2,0,0,3,8,1650,0,1999,0,98075,47.5997,-122.016,1650,4504,465000
-5490210670,8/22/14,4,2.5,2070,7312,1,0,0,4,7,1230,840,1977,0,98052,47.6958,-122.12,1770,7668,449950
-6431500122,4/28/15,3,1.5,1580,8841,1.5,0,0,5,7,1180,400,1923,0,98103,47.6931,-122.352,1580,7512,520000
-3376600170,8/28/14,4,2.25,2170,10000,1,0,0,3,8,1420,750,1975,0,98008,47.6219,-122.109,2390,11000,546800
-8861000235,3/24/15,4,2.75,2220,11925,1,0,0,3,7,1560,660,1953,1985,98004,47.6381,-122.205,2500,11377,825000
-2881700231,4/22/15,3,1.75,1440,11364,1,0,0,3,7,1440,0,1985,0,98155,47.743,-122.328,1950,9390,337000
-534000080,6/11/14,2,1,720,6686,1,0,0,3,6,720,0,1942,0,98117,47.7003,-122.362,1200,6686,333000
-6371000020,11/11/14,2,2,1120,780,2,0,0,3,8,760,360,2004,0,98116,47.5788,-122.41,1120,1322,380000
-7212651440,4/28/15,3,2.5,1970,8426,2,0,0,3,8,1970,0,1992,0,98003,47.2674,-122.306,1970,9197,280000
-7575500080,11/20/14,3,1.5,1420,9081,1,0,0,4,6,1420,0,1990,0,98022,47.1948,-121.999,1090,8410,202000
-7197800020,4/27/15,4,2.5,2250,4119,2,0,0,3,8,2250,0,2001,0,98075,47.5973,-122.034,2290,3115,585000
-5592900285,11/4/14,4,2,2630,9663,1,0,1,4,8,1330,1300,1956,0,98056,47.4841,-122.19,1900,8894,435000
-525069127,5/23/14,4,3.5,4740,172497,2,0,0,3,11,4740,0,2003,0,98053,47.6779,-122.075,2120,49658,1200000
-2460900010,9/24/14,2,2.25,1280,2574,2,0,0,3,7,1280,0,1992,0,98144,47.5939,-122.302,1250,3960,364000
-1566100595,5/14/14,3,1,1260,8280,1,0,0,3,6,1260,0,1946,0,98115,47.7,-122.299,2100,8280,300000
-8682291680,3/17/15,2,1.75,1930,4601,1,0,0,3,8,1930,0,2006,0,98053,47.7196,-122.022,1670,4500,558000
-7841300285,8/11/14,1,1.5,1048,4800,1,0,0,3,7,1048,0,1942,0,98055,47.4759,-122.212,950,4800,199950
-6071700020,8/27/14,3,2.25,1640,8400,1,0,0,4,8,1640,0,1962,0,98006,47.5484,-122.172,2110,8400,515000
-4315700275,11/7/14,4,2.5,2380,4950,2,0,0,3,8,2380,0,2004,0,98136,47.5382,-122.391,1370,5120,590000
-2330000130,7/23/14,4,2,2530,15520,1,0,0,5,8,2220,310,1964,0,98005,47.613,-122.167,2500,13300,813500
-1246700103,4/23/15,4,2.5,2700,25870,2,0,0,4,8,2700,0,1992,0,98033,47.6934,-122.161,1540,20720,725000
-7504200250,4/28/15,3,2.25,2330,3600,1.5,0,0,3,8,2330,0,1971,0,98074,47.631,-122.061,2050,4275,490000
-3797310010,8/27/14,3,2.25,2160,9612,2,0,0,3,7,2160,0,1994,0,98022,47.1927,-122.011,1970,9247,277000
-4058000010,5/9/14,4,1.5,1470,70800,1,0,0,3,7,1470,0,1976,0,98010,47.3458,-121.948,1810,72337,325000
-3888100022,9/25/14,4,2.5,2280,9827,2,0,0,3,8,2280,0,1995,0,98033,47.6883,-122.168,1660,9827,649800
-1934800022,7/23/14,3,1,1280,3200,1.5,0,0,3,7,1280,0,1903,0,98122,47.6029,-122.307,1320,1676,425000
-3501100280,3/29/15,2,1,850,4650,1,0,0,3,7,850,0,1975,0,98117,47.6926,-122.365,980,4700,460000
-2725069108,8/5/14,3,3.25,4610,81935,2,0,0,4,9,4610,0,1984,0,98074,47.6217,-122.021,2900,43500,750000
-126039413,7/10/14,5,2.5,2690,11745,1,0,0,3,8,1790,900,1960,0,98177,47.7708,-122.362,2670,7905,469000
-461001435,6/10/14,4,1.75,2440,5000,1,0,0,3,8,1340,1100,1954,0,98117,47.6823,-122.371,2170,5000,566000
-6403500290,5/2/14,3,2.5,1930,10460,2,0,0,3,8,1930,0,1996,0,98059,47.4938,-122.161,2290,8228,407500
-2826049108,10/28/14,2,1,800,8775,1,0,0,3,6,800,0,1942,0,98125,47.7171,-122.307,1470,8976,353500
-1823069102,5/8/14,3,2.25,2430,73151,1,0,0,3,8,2430,0,1974,0,98059,47.4749,-122.092,2800,39250,524000
-4233400280,8/22/14,4,2.5,1990,9656,2,0,0,3,7,1990,0,1994,0,98010,47.3125,-121.998,1500,9656,264950
-1088800470,10/28/14,3,2.5,2550,10355,2,0,0,3,9,2550,0,1990,0,98011,47.739,-122.203,2550,10084,547500
-2025701060,11/17/14,3,2.25,1370,7087,2,0,0,3,7,1370,0,1993,0,98038,47.3504,-122.035,1400,6600,264500
-7922900250,5/20/14,3,2,2020,8118,1,0,0,3,7,1020,1000,1963,0,98008,47.5866,-122.118,1670,8118,507500
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-2815600235,4/2/15,2,1,840,7020,1.5,0,0,4,7,840,0,1943,0,98136,47.5513,-122.394,1310,7072,450600
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-2329800630,5/27/14,3,1.75,1670,7415,1,0,0,3,7,1320,350,1987,0,98042,47.3776,-122.116,1650,8585,274950
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-2460500020,3/30/15,4,1.75,2370,10140,1,0,0,3,7,1460,910,1968,0,98001,47.3352,-122.278,1450,7800,305000
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-2769602135,8/13/14,3,2,1380,2500,1,0,0,3,7,750,630,1986,0,98107,47.6753,-122.363,1630,3800,435000
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-2473380920,2/27/15,5,2.5,1720,10202,1.5,0,0,3,7,1720,0,1970,0,98058,47.4572,-122.167,1720,8478,339000
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-9421500130,6/16/14,5,2.5,2760,8015,1,0,0,4,8,1600,1160,1960,0,98125,47.7255,-122.297,460,18000,378000
-1250201640,5/7/14,3,2,2540,7200,1.5,0,3,4,8,1600,940,1905,0,98144,47.5972,-122.292,2040,5900,775000
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-1974300020,2/18/15,4,2.5,2270,11500,1,0,0,3,8,1540,730,1967,0,98034,47.7089,-122.241,2020,10918,624900
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-1453600182,5/28/14,2,1,800,6240,1,0,0,3,6,800,0,1954,0,98125,47.7257,-122.296,1530,8000,285000
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-452002135,4/22/15,4,2.5,2740,5000,2,0,0,3,9,2740,0,2012,0,98107,47.674,-122.371,1660,5000,1070000
-6610000591,10/21/14,4,2.75,2470,5500,1,0,3,3,9,1570,900,1960,2005,98107,47.6586,-122.358,1620,5500,1210000
-7518501025,3/27/15,3,1.75,1970,5100,1,0,0,3,7,1130,840,1908,1965,98117,47.6831,-122.379,1250,4080,580000
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-1865800250,12/4/14,3,1.75,1010,6552,1,0,0,3,7,1010,0,1969,0,98042,47.375,-122.117,1010,6552,147500
-6072650250,4/24/15,4,2.25,2220,8125,1,0,0,4,8,1450,770,1965,0,98006,47.5429,-122.177,1980,8700,555000
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-3630080430,6/17/14,4,2.5,1670,3315,2,0,0,3,7,1670,0,2005,0,98029,47.5532,-121.998,1650,2051,451000
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-8651410670,11/25/14,3,1,920,6460,1,0,0,5,6,920,0,1969,0,98042,47.3665,-122.082,920,4770,189950
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-3905040780,9/24/14,4,3,2190,5085,2,0,0,4,8,2190,0,1992,0,98029,47.5693,-122.002,2130,5142,520000
-2488200168,7/18/14,3,1.75,1530,4000,2,0,0,3,8,1530,0,1985,0,98136,47.5239,-122.388,2140,5000,725000
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-2481610050,11/24/14,4,3,3370,47959,2,0,0,4,10,3370,0,1981,0,98072,47.733,-122.129,3370,38896,905000
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-9430100020,6/17/14,4,2.75,2630,7505,2,0,0,3,8,2630,0,1994,0,98052,47.6846,-122.163,2670,7506,725000
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-7525211410,7/15/14,3,2.5,1970,2752,2,0,0,3,8,1970,0,1978,0,98052,47.6345,-122.108,1850,2778,425500
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-7853302130,6/4/14,3,2.5,2060,4399,2,0,0,3,7,2060,0,2007,0,98065,47.5415,-121.884,2060,4399,418500
-811000050,12/31/14,3,1.5,1890,5000,1.5,0,0,3,9,1890,0,1929,0,98109,47.6312,-122.353,2560,5000,826000
-8691330130,6/11/14,4,2.5,2810,10986,2,0,0,3,10,2810,0,1997,0,98075,47.5943,-121.981,3540,10986,742000
-6623400050,9/9/14,4,1,1470,18581,1.5,0,0,3,6,1470,0,1924,0,98055,47.4336,-122.197,1770,18581,180000
-9542801410,1/14/15,4,1.75,2190,8400,2,0,0,2,8,2190,0,1978,0,98023,47.3003,-122.373,2410,7700,286000
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-2724069169,7/24/14,4,3,2180,12196,2,0,0,4,7,2180,0,1968,0,98027,47.5338,-122.033,1500,6534,499900
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-6600410480,8/28/14,3,1,1010,9920,1,0,0,3,6,1010,0,1977,0,98042,47.3238,-122.14,1270,9680,179900
-4146800050,11/26/14,3,2,1580,5289,1,0,0,3,7,870,710,1940,0,98103,47.6881,-122.342,1310,5535,563000
-3793500050,3/3/15,3,2.5,1890,6300,2,0,0,3,7,1890,0,2003,0,98038,47.3673,-122.031,2100,6525,310000
-641900050,8/19/14,4,2.25,2160,8817,1,0,0,3,7,1460,700,1965,0,98133,47.7595,-122.356,1880,8817,335000
-641900050,2/6/15,4,2.25,2160,8817,1,0,0,3,7,1460,700,1965,0,98133,47.7595,-122.356,1880,8817,499950
-2402100715,7/26/14,2,1,1410,5101,1.5,0,0,3,8,1410,0,1927,0,98103,47.6872,-122.333,1410,4224,658500
-1453602313,10/29/14,2,1.5,1430,1650,3,0,0,3,7,1430,0,1999,0,98125,47.7222,-122.29,1430,1650,297000
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-1951600250,4/6/15,3,1,830,9600,1,0,0,3,7,830,0,1959,0,98032,47.3698,-122.297,1240,9198,135000
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-6138000095,11/18/14,3,1,1080,10639,1.5,0,0,3,7,1080,0,1953,0,98002,47.3171,-122.219,1470,10600,219000
-2356800020,9/29/14,2,1,880,6650,1,0,0,5,6,880,0,1918,0,98117,47.6914,-122.372,1250,6650,416000
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-3861440010,7/15/14,4,2.75,2030,9120,1,0,0,4,7,2030,0,1988,0,98003,47.282,-122.303,1790,7627,302000
-2505500009,4/27/15,4,2,2040,8281,2,0,1,3,7,2040,0,1961,0,98033,47.6689,-122.195,2560,8281,565000
-3388000080,4/22/15,3,1,1570,8316,1,0,0,3,7,1070,500,1962,0,98031,47.3943,-122.198,2030,8295,281700
-480000170,6/27/14,2,1,1500,3420,1,0,0,3,7,1500,0,1902,0,98103,47.661,-122.338,2050,3420,480000
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-7222000244,2/23/15,3,3,2850,9375,1,0,0,3,8,2240,610,1977,0,98055,47.4655,-122.209,1800,9375,300000
-9558020840,4/22/15,4,2.5,2070,2992,2,0,0,3,8,2070,0,2002,0,98058,47.4496,-122.12,1900,2957,364950
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-2249800080,5/23/14,3,2,1630,8702,1,0,0,3,9,1630,0,1987,0,98056,47.5168,-122.193,2250,9890,445000
-2062600020,7/8/14,2,2.5,1785,779,2,0,0,3,7,1595,190,1975,0,98004,47.5959,-122.198,1780,794,530000
-7660100309,12/26/14,3,2.5,1260,972,2,0,0,3,8,840,420,2008,0,98144,47.5872,-122.316,1270,925,353500
-6093900280,5/7/14,3,1.5,1380,11130,1,0,0,3,7,1380,0,1960,0,98003,47.3146,-122.323,1380,9200,209950
-4154303125,4/23/15,3,1.75,2330,7200,1,0,0,4,8,1320,1010,1950,0,98118,47.565,-122.274,1820,7200,650000
-2695600005,6/20/14,2,1,840,4239,1,0,0,3,7,840,0,1948,0,98126,47.5319,-122.382,1120,4494,325000
-3826500020,8/28/14,3,2.25,1730,9516,1,0,0,3,8,1180,550,1978,0,98030,47.3823,-122.166,1870,8165,257000
-9238440130,6/30/14,4,2.5,2230,5970,2,0,0,4,7,2230,0,2002,0,98042,47.3745,-122.131,1970,4919,337000
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-1592000130,11/14/14,3,2.5,2280,10879,2,0,0,3,9,2280,0,1984,0,98074,47.6217,-122.034,2400,9536,577500
-2487200279,11/24/14,3,2.5,2430,5128,1,0,1,3,8,1270,1160,1978,0,98136,47.5198,-122.389,2510,5330,560000
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-4038700680,7/25/14,5,3,2230,8560,1,0,0,3,8,1150,1080,1960,2014,98008,47.6154,-122.115,2040,8560,750000
-9390700095,8/8/14,2,1,770,2971,1,0,2,3,7,770,0,1923,0,98102,47.6358,-122.322,1440,4000,407500
-6392003810,5/23/14,4,1.75,1814,5000,1,0,0,4,7,944,870,1951,0,98115,47.684,-122.281,1290,5000,530000
-7806210250,4/6/15,4,1.75,1920,9350,1,0,0,4,7,1000,920,1977,0,98002,47.292,-122.195,1910,8400,235000
-2919200440,4/7/15,4,2.5,1860,3840,1.5,0,0,3,7,1170,690,1928,2014,98117,47.6886,-122.359,1400,3840,715000
-6751500185,4/21/15,5,3,2750,10000,1,0,0,4,7,1730,1020,1957,0,98008,47.5878,-122.13,2520,10000,795000
-5137300130,5/9/14,4,2.5,1930,9653,1,0,0,4,9,1930,0,1968,0,98023,47.3367,-122.335,2100,10454,465000
-2744000010,5/13/14,3,2.5,1950,8251,2,0,0,3,7,1950,0,1990,0,98001,47.343,-122.28,1540,8588,287600
-4279600010,12/30/14,6,3,2470,9328,2,0,0,3,8,2470,0,1982,0,98007,47.6025,-122.153,2470,9454,630000
-2540830020,4/1/15,3,2.25,1630,6449,1,0,0,3,7,1310,320,1986,0,98011,47.7275,-122.232,1620,7429,445000
-7214800190,1/5/15,4,2.25,2110,16200,1,0,0,3,8,1630,480,1978,0,98072,47.752,-122.144,2370,16000,490000
-9169100185,2/25/15,3,1.75,1490,5000,1,0,1,3,8,1250,240,1954,0,98136,47.5257,-122.392,1980,5000,565000
-859000022,8/19/14,3,2.5,1740,1844,2,0,0,3,8,1320,420,2008,0,98106,47.5248,-122.365,1740,1789,330000
-1180005050,12/18/14,4,2.75,1900,6000,1,0,2,3,7,1300,600,1961,0,98178,47.495,-122.229,2230,6000,463000
-3625700010,5/6/14,5,4,4510,15175,2,0,0,3,10,4510,0,1969,2002,98040,47.5309,-122.228,3510,13500,1870000
-7335400020,6/26/14,3,1,1090,6710,1.5,0,0,5,5,1090,0,1912,0,98002,47.3066,-122.217,1170,6708,219500
-8902000050,10/27/14,3,1.75,1720,7200,1,0,0,3,7,1420,300,1959,0,98125,47.7062,-122.304,1380,8000,622200
-1972200698,5/28/14,2,3.25,1400,1243,3,0,0,3,8,1400,0,2000,0,98103,47.6534,-122.353,1400,1335,474800
-415100010,6/11/14,4,2.5,2090,9702,1,0,0,5,7,1320,770,1965,0,98133,47.7467,-122.339,1850,7200,465000
-5500200010,10/14/14,3,1.75,1580,9049,1,0,0,3,8,1580,0,1966,0,98177,47.7776,-122.375,2100,8446,389950
-1842390130,10/24/14,4,2.5,2620,19864,2,0,0,4,8,2620,0,1984,0,98052,47.7014,-122.122,2500,13285,650000
-6362900007,9/5/14,3,2,1500,2506,1,0,0,3,7,870,630,2003,0,98144,47.5962,-122.301,1500,4662,395000
-5466380050,12/19/14,4,2.5,2030,5202,2,0,0,3,8,2030,0,2001,0,98031,47.388,-122.176,2260,5232,304500
-7417700185,3/14/15,3,1,1020,8484,1,0,0,3,6,1020,0,1949,0,98155,47.7719,-122.31,1180,9660,307000
-4127000050,1/7/15,3,2.5,1540,7120,1,0,0,3,7,770,770,1938,2013,98038,47.3729,-122.037,1000,6638,485000
-8084900170,10/23/14,5,3,3910,16200,1,0,0,4,9,2890,1020,1960,0,98004,47.6326,-122.217,3620,16200,1560000
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-3629200020,2/2/15,4,2.5,3180,10105,2,0,0,4,9,3180,0,1986,0,98040,47.5328,-122.226,2670,10355,960000
-6070800050,2/13/15,3,2.5,2330,9160,2,0,0,3,9,2330,0,1997,0,98006,47.5467,-122.181,2460,9160,710000
-6329000185,3/29/15,3,2.5,2600,23361,1.5,1,4,3,8,2150,450,1912,0,98146,47.4997,-122.379,1700,14700,540000
-8815400020,7/24/14,4,1.75,1950,4200,1,0,0,5,7,1040,910,1951,0,98115,47.6755,-122.285,1450,5000,601000
-1742800430,5/4/15,5,1.75,3250,13702,1,0,2,3,8,1650,1600,1965,0,98055,47.4883,-122.225,2620,11328,463828
-5006000170,2/11/15,4,1,1130,8308,1.5,0,0,4,6,1130,0,1944,0,98166,47.4669,-122.355,1130,8652,293000
-7202310010,10/20/14,3,2.5,2620,4800,2,0,0,3,7,2620,0,2002,0,98053,47.6849,-122.037,2400,4756,597500
-323089005,3/26/15,2,1,1120,45302,1,0,2,4,5,1120,0,1932,0,98045,47.5105,-121.77,2150,101930,240000
-1525079056,5/2/14,3,1.75,1800,23103,1,0,0,3,7,1800,0,1968,0,98014,47.6517,-121.906,1410,18163,284000
-4140900050,1/26/15,4,1.75,2180,10200,1,0,2,3,8,2000,180,1966,0,98028,47.7638,-122.27,2590,10445,440000
-7387500235,5/15/14,3,1.75,1960,8136,1,0,0,3,7,980,980,1948,0,98106,47.5208,-122.364,1070,7480,340000
-7387500235,3/17/15,3,1.75,1960,8136,1,0,0,3,7,980,980,1948,0,98106,47.5208,-122.364,1070,7480,363000
-3726800010,7/14/14,2,1,1150,3600,1,0,0,3,6,1150,0,1910,0,98144,47.5729,-122.31,1160,4000,270000
-2621760290,8/27/14,4,2.5,2800,6820,2,0,0,4,7,2800,0,1997,0,98042,47.3695,-122.108,2060,6820,365000
-6046401300,6/9/14,3,2,1310,2550,1,0,0,3,7,780,530,1986,0,98103,47.6911,-122.35,1460,5100,428000
-3326069026,4/1/15,3,1.75,2340,57499,1,0,0,3,8,2340,0,1988,0,98053,47.6989,-122.044,3260,137649,600000
-6608500290,10/24/14,3,2.5,1430,10200,1,0,0,3,7,1430,0,1960,0,98033,47.7012,-122.166,1470,10350,405000
-1862700290,7/11/14,4,2.5,2340,9748,1,0,1,3,8,1610,730,1981,0,98003,47.3363,-122.331,2070,8241,339900
-4331000190,12/23/14,3,1,1290,11250,1,0,0,3,7,1290,0,1956,0,98166,47.4743,-122.341,1410,11196,275000
-5101400994,7/17/14,2,1,760,6380,1,0,0,3,6,760,0,1941,0,98115,47.6914,-122.31,1590,6380,361600
-1615900020,3/20/15,6,2,2780,13950,2.5,0,0,4,7,2780,0,1955,1964,98030,47.3738,-122.226,2120,13950,325000
-2804600005,12/19/14,3,2,2090,4077,1.5,0,0,4,8,1530,560,1931,0,98112,47.6433,-122.3,2010,4132,1050000
-7431500280,11/10/14,4,3,3060,50002,1,0,2,4,8,2460,600,1957,0,98008,47.6205,-122.096,2740,16181,959750
-6303401365,6/3/14,3,1,1110,7962,1,0,0,3,7,1110,0,1962,0,98146,47.5035,-122.36,1200,8094,210000
-2817850290,12/1/14,3,2,1790,7879,1.5,0,0,3,7,1790,0,1998,0,98001,47.2634,-122.289,1790,7879,258000
-3205100080,7/8/14,3,1.5,1830,9848,1,0,0,5,7,1830,0,1962,0,98056,47.539,-122.18,1830,8168,468000
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-7889601300,4/21/15,3,1,1420,6000,1,0,0,3,6,1420,0,1941,0,98146,47.4913,-122.336,1480,6000,268000
-8151600101,1/16/15,2,1,790,7252,1,0,0,3,5,790,0,1930,0,98146,47.5048,-122.365,1260,11470,115000
-3764650010,5/13/15,3,2.5,2300,4307,2,0,0,3,8,2300,0,1998,0,98034,47.7326,-122.197,2010,4307,500000
-3521069150,10/17/14,3,2.5,2440,71002,1,0,0,4,9,2440,0,1996,0,98022,47.2689,-122.01,3170,84000,431000
-4345000440,2/23/15,3,2,1310,7349,1,0,0,3,7,870,440,1995,0,98030,47.3639,-122.186,1690,6580,241500
-1822059073,4/14/15,3,1,1380,12000,1,0,0,3,7,1380,0,1963,0,98031,47.3997,-122.215,1890,22001,300000
-2600130190,11/7/14,4,2.5,2790,10289,2,0,0,3,9,2790,0,1987,0,98006,47.5483,-122.158,2650,10126,982000
-7985100190,1/6/15,3,2.5,1360,7293,2,0,0,3,8,1360,0,1988,0,98003,47.3304,-122.302,1540,7353,248500
-305010050,12/31/14,4,2.5,2510,5936,2,0,0,3,9,2510,0,1998,0,98075,47.5847,-122.032,2760,6060,665000
-3761100257,7/14/14,3,3,4560,16339,2,0,2,3,10,4040,520,2001,0,98034,47.7024,-122.243,2620,11561,1220000
-952003340,7/9/14,2,1,780,3910,1,0,0,3,6,780,0,1918,0,98126,47.566,-122.38,1500,5060,380000
-3347401315,6/16/14,3,2,1410,7998,1,0,0,4,7,1410,0,1940,0,98178,47.4968,-122.277,1780,8278,220000
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-5700002285,10/16/14,4,1.75,2040,3570,1,0,0,4,7,1020,1020,1917,0,98144,47.5754,-122.288,1790,4206,495000
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-6822100305,8/19/14,3,1.75,1720,5280,1,0,0,4,8,900,820,1943,0,98199,47.6493,-122.401,1600,6000,465000
-1871400585,4/22/15,2,1,1020,13647,1,0,0,5,6,1020,0,1915,1974,98022,47.2848,-121.927,980,8250,160000
-7300410010,12/4/14,4,2.5,2690,6099,2,0,0,3,9,2690,0,1998,0,98092,47.3314,-122.171,2520,6168,340000
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-3356402232,9/24/14,3,1.75,1230,12000,1,0,0,3,6,1230,0,1970,0,98001,47.2878,-122.251,1550,12000,179900
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-2425700022,9/29/14,4,1.75,1730,11890,1,0,0,2,7,980,750,1955,0,98004,47.5979,-122.194,2100,12325,425000
-3956100050,8/29/14,4,2.5,2770,21806,2,0,0,3,9,2770,0,1991,0,98045,47.4815,-121.768,2500,21656,533300
-5292200010,1/16/15,4,2,1770,3332,2,0,0,3,7,1630,140,1924,1975,98118,47.5563,-122.281,1640,4000,447500
-4178310080,7/23/14,5,2.75,3030,13640,2,0,0,4,8,3030,0,1980,0,98007,47.6186,-122.146,2500,13225,768000
-1180002745,5/21/14,3,1.75,2380,6000,1.5,0,0,3,7,1320,1060,1935,0,98178,47.498,-122.222,1290,6000,285000
-4047200655,5/9/14,3,1.75,1780,120661,1,0,0,4,6,1780,0,1979,0,98019,47.7731,-121.897,1440,25000,336900
-9477000080,7/14/14,4,1.5,1540,7886,2,0,0,3,7,1540,0,1967,0,98034,47.734,-122.193,1550,7396,415000
-3905100840,7/23/14,3,2.25,1580,4379,2,0,0,4,8,1580,0,1994,0,98029,47.5694,-122.005,1770,4187,500000
-7885800290,11/3/14,4,2.5,3200,5772,2,0,0,3,8,3200,0,2003,0,98042,47.3486,-122.153,3010,5772,337000
-9475710170,9/19/14,4,2.5,2220,6800,2,0,0,3,7,2220,0,2002,0,98059,47.49,-122.15,2220,5303,419950
-6885900415,1/7/15,4,2.75,2240,8162,2,0,0,5,7,1380,860,1946,0,98133,47.7427,-122.34,1550,8163,290000
-5285200020,7/18/14,2,1.75,1640,4176,1,0,0,4,7,1040,600,1948,0,98118,47.5162,-122.26,1460,5200,349950
-4039400430,5/16/14,3,1.5,1170,4950,1,0,0,4,7,1170,0,1960,0,98007,47.6057,-122.135,1570,7700,330000
-2481610170,6/9/14,4,2.25,3160,34560,1,0,0,4,10,3160,0,1981,0,98072,47.7337,-122.132,3530,38045,965000
-1795910420,10/31/14,3,2.5,2100,7851,2,0,0,3,8,2100,0,1986,0,98052,47.7242,-122.105,2100,8187,515000
-7135521680,5/22/14,4,2.5,2600,17388,2,0,0,3,9,2600,0,1996,0,98059,47.5283,-122.146,2950,11553,665000
-2011000020,8/26/14,3,1.75,1630,5999,1.5,0,0,4,7,1630,0,1985,0,98198,47.3816,-122.313,1540,7500,265000
-1196002395,9/17/14,3,2,2850,19200,1,0,3,3,8,2340,510,2004,0,98023,47.3378,-122.348,2860,18240,545400
-3876590420,6/24/14,4,3,2560,5606,2,0,0,3,9,2560,0,2004,0,98092,47.3274,-122.178,2667,7334,350000
-4358700164,11/13/14,2,1.5,980,1296,2,0,0,3,7,840,140,2001,0,98133,47.7075,-122.336,1100,1228,260000
-7631800015,4/7/15,3,3.25,5480,57990,2,1,4,3,11,5480,0,1991,0,98166,47.4558,-122.371,2500,22954,2510000
-3260810150,9/26/14,3,2,2160,8091,1.5,0,0,3,8,2160,0,2000,0,98003,47.3474,-122.303,2190,8297,355000
-7015201015,10/28/14,3,3,3030,5156,1.5,0,0,4,9,2080,950,1929,0,98119,47.647,-122.369,1910,5720,879000
-9348700450,8/18/14,4,3.5,3560,7178,2,0,3,3,10,2590,970,2006,0,98052,47.7054,-122.107,3290,6978,833000
-3151600035,1/7/15,2,1,760,6407,1,0,0,3,6,760,0,1943,0,98178,47.4977,-122.259,1050,8580,261590
-2254502070,11/5/14,3,3,2260,2400,2,0,0,3,7,2260,0,1909,1972,98122,47.6094,-122.31,1320,2790,512500
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-2926049237,10/6/14,5,3,2270,6664,1,0,0,3,7,1340,930,1995,0,98125,47.7191,-122.315,1870,6187,417500
-7785000230,5/27/14,5,3,3480,15185,2,0,0,4,8,3480,0,1964,0,98040,47.5757,-122.216,3030,14257,970000
-2025701390,8/12/14,3,2.25,1900,7479,2,0,0,4,7,1900,0,1992,0,98038,47.3495,-122.037,1520,6559,316000
-1561900330,3/6/15,4,3,2350,9952,1,0,0,3,9,1650,700,1989,0,98031,47.4194,-122.211,2440,9100,397500
-1370800940,7/21/14,3,2.5,2390,5500,1,0,3,3,9,1700,690,1952,0,98199,47.6389,-122.409,2700,5500,1350000
-8691300900,8/21/14,4,2.5,3730,9847,2,0,0,3,10,3730,0,1997,0,98075,47.587,-121.976,3490,10219,840000
-3751606514,6/26/14,2,1,1780,81021,1,0,3,4,9,1780,0,1954,0,98001,47.2712,-122.265,1780,26723,270000
-5104510490,5/27/14,4,2.5,1630,4473,2,0,0,3,7,1630,0,2003,0,98038,47.3546,-122.015,1830,5082,312900
-3432500210,3/26/15,2,1,1130,6908,1.5,0,0,3,6,1130,0,1945,0,98155,47.745,-122.313,1150,6908,325000
-2771604791,7/19/14,3,1.75,2140,3584,1,0,0,3,7,1070,1070,1952,0,98199,47.636,-122.391,1620,4000,680000
-2537500040,3/4/15,4,2.5,3220,7873,2,0,0,3,10,3220,0,1994,0,98075,47.5849,-122.03,2610,8023,763000
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-3332500100,4/8/15,3,2.5,1800,3300,2,0,0,3,7,1690,110,2004,0,98118,47.5491,-122.276,1570,4097,475000
-7625702616,11/21/14,2,2.5,809,940,2,0,0,3,7,809,0,2003,0,98136,47.5499,-122.384,1260,4240,219000
-2561330040,3/23/15,3,2.25,1820,9694,1,0,0,3,7,1240,580,1977,0,98074,47.6157,-122.05,1820,9694,415000
-1423049019,5/23/14,2,1,580,7500,1,0,0,3,5,580,0,1943,0,98178,47.4852,-122.251,1700,11250,90000
-1423049019,3/31/15,2,1,580,7500,1,0,0,3,5,580,0,1943,0,98178,47.4852,-122.251,1700,11250,220000
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-1920079039,8/15/14,2,1,1140,74052,1,0,0,4,6,1140,0,1968,0,98022,47.2093,-121.962,1730,43560,269500
-7515000035,4/24/15,2,1,1060,5754,1,0,0,4,6,1060,0,1917,0,98117,47.6931,-122.372,1460,7200,395350
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-326069164,4/29/15,4,2.5,3450,43216,2,0,0,3,9,3450,0,2000,0,98072,47.7625,-122.025,3030,50481,840000
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-9348700610,12/17/14,4,3.75,3370,6766,2,0,0,3,9,3370,0,2005,0,98052,47.7063,-122.106,3530,6766,800000
-7308900100,6/19/14,4,1,1940,5753,1.5,0,0,3,7,1940,0,1947,0,98177,47.7188,-122.358,2170,6075,401000
-1453601502,2/26/15,4,2,2520,7334,1,0,0,3,7,1600,920,1955,0,98125,47.7263,-122.291,2040,7937,303697
-4077800593,9/15/14,3,1,1360,8968,1,0,0,3,7,1360,0,1956,0,98125,47.7105,-122.289,1490,7355,355000
-9268200641,8/20/14,2,1,800,5040,1,0,0,3,6,800,0,1960,0,98117,47.6953,-122.362,1020,5040,350000
-6705850300,4/14/15,4,2.5,3010,9323,2,0,0,3,10,3010,0,1992,0,98075,47.578,-122.053,2840,8413,754999
-3720800115,3/31/15,3,1.75,2340,5500,2,0,2,3,9,2340,0,1988,0,98102,47.6451,-122.319,2830,5500,982218
-8079040330,9/27/14,3,2,1780,8621,1,0,0,3,8,1780,0,1992,0,98059,47.5062,-122.149,2470,8542,406500
-1824079052,4/1/15,4,3.25,4200,210394,2,0,0,4,10,4200,0,1993,0,98024,47.5607,-121.961,2370,184694,1650000
-1923300315,2/17/15,2,1.75,1720,3000,1,0,0,5,7,860,860,1925,0,98103,47.686,-122.351,1360,4500,565000
-3336001316,11/6/14,2,1,830,4500,1,0,0,3,6,830,0,1920,0,98118,47.5248,-122.265,1092,5350,160000
-9382200025,1/15/15,3,1,1090,6320,1,0,0,3,6,890,200,1954,0,98146,47.4976,-122.35,1460,7080,220000
-7237500650,2/13/15,5,4.25,5040,9466,2,0,0,3,11,5040,0,2004,0,98059,47.5282,-122.133,4300,9417,1280000
-3100500065,7/8/14,5,2.75,3500,5040,2,0,2,3,9,2950,550,1927,2007,98126,47.5527,-122.379,1450,5040,970000
-795000620,9/24/14,3,1,1080,6250,1,0,0,2,5,1080,0,1950,0,98168,47.5045,-122.33,1070,6250,115000
-795000620,12/15/14,3,1,1080,6250,1,0,0,2,5,1080,0,1950,0,98168,47.5045,-122.33,1070,6250,124000
-795000620,3/11/15,3,1,1080,6250,1,0,0,2,5,1080,0,1950,0,98168,47.5045,-122.33,1070,6250,157000
-8651430220,7/25/14,3,1,870,5200,1,0,0,5,6,870,0,1969,0,98042,47.3702,-122.078,870,5200,183000
-7954300740,9/9/14,4,2.5,2830,6163,2,0,0,3,9,2830,0,2000,0,98056,47.5227,-122.19,2730,6202,527000
-4046601460,6/6/14,4,2,1880,14653,2,0,0,3,8,1880,0,1978,0,98014,47.6959,-121.921,1750,14858,407193
-6933600456,3/13/15,4,2.75,3600,5040,2,0,0,3,9,2610,990,2004,0,98199,47.6487,-122.388,1590,5040,970000
-9357000650,5/27/14,4,2.5,2340,5600,2,0,0,3,7,2340,0,1921,2013,98146,47.5117,-122.379,1310,5600,535000
-7347600490,8/14/14,3,2,2040,13125,1,0,0,3,6,810,1230,1910,0,98168,47.478,-122.278,1460,10582,245000
-5095400760,6/23/14,3,1.75,1310,12750,1,0,0,3,7,1310,0,1993,0,98059,47.4695,-122.07,1790,13500,337000
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-3275300040,6/6/14,3,1.75,1370,9900,1,0,0,4,7,1370,0,1983,0,98003,47.2575,-122.312,1490,9600,320000
-2407000405,2/26/15,3,1,1080,7486,1.5,0,0,3,6,990,90,1942,0,98146,47.4838,-122.335,1170,7800,228500
-6664900330,2/23/15,3,2.5,1990,7577,2,0,0,3,7,1990,0,1990,0,98023,47.2908,-122.351,1900,7152,293000
-4036800900,9/24/14,3,1,1310,7000,1,0,0,4,7,1310,0,1958,0,98008,47.6019,-122.123,1280,7300,447000
-8648220150,5/7/14,3,1.75,1640,10762,1,0,0,3,7,1130,510,1988,0,98042,47.3586,-122.074,1680,10259,226500
-3876313170,12/9/14,3,2.25,1770,8000,1,0,0,4,7,1350,420,1976,0,98072,47.7358,-122.17,1850,7875,436000
-2738600220,8/4/14,3,2.5,2050,4876,2,0,0,3,8,2050,0,2005,0,98072,47.7746,-122.158,2320,4065,451000
-1593000690,4/8/15,3,1,1170,62290,2,0,0,3,5,1170,0,1986,0,98045,47.5104,-121.787,1810,42173,315000
-5101406536,10/28/14,2,1,1340,7250,1,0,0,4,7,1340,0,1951,0,98125,47.7015,-122.32,1450,7026,450000
-2267000485,12/1/14,3,1.5,2240,5300,1,0,0,5,7,1120,1120,1955,0,98117,47.6927,-122.395,1740,7110,635000
-822059059,3/25/15,2,1,880,17743,1,0,0,4,5,880,0,1951,0,98031,47.4115,-122.197,1217,13000,292500
-2310110230,5/20/14,3,2.5,2170,4905,2,0,0,3,8,2170,0,2004,0,98038,47.3503,-122.039,2300,4935,329900
-7974200777,11/18/14,2,1.5,1260,6660,1.5,0,0,4,7,1260,0,1926,0,98115,47.6792,-122.287,2140,4770,531000
-2025059201,7/31/14,3,1.75,1880,13300,1,0,0,3,7,1380,500,1967,0,98004,47.634,-122.204,3550,10883,725000
-1074100110,5/25/14,3,2.5,1620,7410,1,0,0,5,7,1620,0,1955,0,98133,47.7708,-122.335,1450,8121,355300
-8000200090,4/27/15,3,2.5,1610,10022,2,0,0,3,7,1610,0,1996,0,98003,47.2583,-122.3,1820,10017,280000
-1247100035,6/30/14,4,2.75,3330,9143,2,0,0,4,10,3330,0,1995,0,98033,47.6821,-122.19,2390,9143,1100000
-7010700210,6/5/14,4,2,1370,4000,2,0,0,3,9,1370,0,1951,1994,98199,47.6593,-122.394,2010,5720,605004
-7950304065,3/9/15,2,1,690,6000,1,0,0,3,6,690,0,1949,0,98118,47.5621,-122.283,840,3030,260000
-9523100026,7/23/14,4,2.5,3170,4979,2,0,0,4,7,2570,600,1925,0,98103,47.6655,-122.34,2060,5000,748000
-1093000090,4/16/15,2,2,1990,6180,1,0,0,4,7,1010,980,1941,0,98115,47.6792,-122.303,1470,5150,776000
-1532300155,9/16/14,4,1,1080,6095,1.5,0,0,4,6,1080,0,1924,0,98103,47.6962,-122.346,1200,5060,425000
-4006000423,1/8/15,4,1,1870,14703,1.5,0,0,3,6,1090,780,1928,0,98118,47.5274,-122.281,1650,6045,230000
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-8856970530,12/8/14,3,2.5,1860,5321,2,0,0,3,7,1860,0,2000,0,98038,47.3848,-122.033,1940,5205,326995
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-7003200120,6/27/14,2,0.75,840,40642,1,1,4,4,6,840,0,1937,0,98070,47.404,-122.447,1850,64069,528000
-1321059097,9/24/14,3,1.5,2390,32109,1,0,0,3,7,2390,0,1975,2007,98092,47.3028,-122.102,1370,32109,400000
-2571910100,10/29/14,4,2.5,2100,8501,2,0,0,5,7,2100,0,1993,0,98022,47.1951,-122.01,2130,8560,344000
-5104511050,9/2/14,4,3,2430,7163,2,0,0,3,8,2430,0,2003,0,98038,47.3558,-122.013,2430,6028,409950
-2771603990,7/15/14,3,2,1880,4000,1,0,2,3,8,1280,600,1950,0,98199,47.6375,-122.391,1920,4000,625000
-9407001770,5/12/15,3,1.75,1350,9000,1,0,0,3,7,1350,0,1987,0,98045,47.4487,-121.773,1370,9500,304950
-3211230300,9/29/14,2,2,2160,35183,1,0,0,3,9,2160,0,1985,0,98092,47.312,-122.115,2450,34992,381500
-3229200040,7/23/14,3,1.75,1430,13399,1,0,0,4,7,900,530,1946,0,98168,47.4787,-122.275,1720,6415,215000
-3810000843,4/27/15,5,1.75,2840,12870,2,0,2,4,7,2840,0,1925,0,98178,47.4961,-122.235,2170,9612,345000
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-3322049095,2/5/15,3,1,1690,20063,1.5,0,0,4,7,1690,0,1913,0,98001,47.3556,-122.294,1700,15899,240000
-8682280970,2/4/15,2,2,1930,5479,1,0,0,3,8,1930,0,2005,0,98053,47.7054,-122.011,1900,5479,548050
-9269200650,10/27/14,2,1,720,4920,1,0,0,3,6,720,0,1941,0,98126,47.5352,-122.371,670,4920,314000
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-7883603945,7/15/14,5,1.75,2300,6720,2,0,0,3,7,2300,0,1905,0,98108,47.528,-122.32,1200,6000,400000
-1352300580,11/14/14,1,1,460,4120,1,0,0,3,4,460,0,1937,0,98055,47.4868,-122.199,990,4120,247000
-8714600145,4/1/15,2,1.75,1240,4120,1,0,0,4,7,890,350,1906,0,98105,47.6689,-122.314,1640,3740,540000
-323089172,7/18/14,4,2.5,1900,15123,2,0,0,3,8,1900,0,1995,0,98045,47.5015,-121.772,1900,16477,410000
-8651511030,10/2/14,3,1.75,2120,9146,1,0,0,3,8,1260,860,1981,0,98074,47.6475,-122.064,2040,10485,525000
-7015200900,4/10/15,4,2.5,2440,5737,2,0,0,4,8,1700,740,1929,0,98119,47.6472,-122.367,2020,5543,820000
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-3123049131,12/18/14,2,1,1180,10200,1,0,0,4,7,1180,0,1955,0,98148,47.4358,-122.336,1330,10200,244000
-1773101530,12/18/14,1,1,520,4800,1,0,0,3,5,520,0,1930,0,98106,47.5533,-122.363,800,4960,275000
-6917700650,10/8/14,2,1.75,2070,23160,1,0,0,3,7,1260,810,1946,0,98199,47.6551,-122.394,1690,5458,577000
-3574800090,12/2/14,5,2.5,2250,7945,1,0,0,4,7,1360,890,1977,0,98034,47.7316,-122.221,1820,7866,446950
-7853220610,7/29/14,3,2.5,2050,5694,2,0,2,3,8,2050,0,2004,0,98065,47.5331,-121.855,2680,7187,457000
-9537200037,4/28/15,4,1.5,1310,137214,1.5,0,0,4,7,1310,0,1926,0,98198,47.362,-122.316,1310,9450,320000
-5470100090,9/5/14,3,1.5,1250,9484,1,0,0,4,7,1250,0,1969,0,98042,47.3675,-122.147,1320,9600,210000
-3826500730,9/22/14,4,2.5,2130,9100,1,0,0,3,8,1290,840,1978,0,98030,47.3815,-122.169,1770,7700,220000
-2998800040,6/13/14,3,2,2250,8800,1,0,0,4,7,1250,1000,1925,0,98116,47.5737,-122.409,2250,4800,589000
-7658600150,6/30/14,4,2,1880,3840,1,0,0,3,7,970,910,1904,0,98144,47.5929,-122.303,1670,1820,435000
-3816300065,7/16/14,3,1,1520,10798,1,0,0,3,7,1520,0,1953,0,98028,47.7635,-122.262,1670,9876,375000
-1561600056,10/17/14,4,3.5,4010,9654,2,0,0,3,10,4010,0,2007,0,98004,47.5891,-122.2,1870,9873,1740000
-8682261250,12/11/14,2,1.75,1660,5581,1,0,0,3,8,1660,0,2005,0,98053,47.713,-122.033,1670,4871,545000
-6392002550,10/22/14,3,2.25,3400,10000,2,0,0,3,10,3400,0,1983,0,98115,47.6846,-122.284,1860,5100,970000
-1370803835,7/18/14,2,1.75,2320,6755,1,0,0,5,8,1380,940,1946,0,98199,47.6398,-122.403,1990,5000,705000
-7805450040,3/16/15,5,3.25,3740,11536,2,0,0,4,9,2540,1200,1984,0,98006,47.5599,-122.108,2920,11258,915557
-8019200823,2/9/15,4,1.5,1810,9000,1.5,0,0,3,7,1810,0,1960,0,98168,47.4911,-122.322,1520,9780,259000
-5457800930,6/13/14,2,2.25,3170,3000,2,0,2,5,10,1990,1180,1900,0,98109,47.6291,-122.351,2980,5061,1700000
-3715500110,12/1/14,3,1.75,1680,8610,1,0,0,4,7,1290,390,1969,0,98034,47.7246,-122.173,1640,8809,427000
-6058600385,8/11/14,2,1,930,3100,1,0,0,3,6,930,0,1911,0,98144,47.5943,-122.302,1670,3800,390000
-7708250040,2/12/15,3,2.5,2390,8000,2,0,0,3,8,2390,0,1995,0,98042,47.3895,-122.154,2070,7585,363000
-2769600035,8/7/14,4,2.5,2680,3626,1.5,0,3,4,7,1680,1000,1928,0,98107,47.6727,-122.361,1950,4500,612000
-5500100120,9/16/14,4,1.75,1790,10186,1,0,0,4,8,1790,0,1965,0,98177,47.7769,-122.376,1790,9142,380000
-4472000040,8/18/14,4,3,1680,6003,1,0,0,3,7,1150,530,1997,0,98002,47.2885,-122.218,1820,6207,230000
-9376301591,4/14/15,3,1.75,1570,2600,1.5,0,0,4,8,1570,0,1931,0,98117,47.6867,-122.37,1490,4000,580000
-4232903990,11/19/14,3,1,2230,3200,2,0,2,3,8,1630,600,1918,0,98109,47.6334,-122.356,2280,5400,770000
-7575500150,9/24/14,4,2,1260,8400,1,0,0,3,6,1260,0,1991,0,98022,47.1946,-122,1120,8400,207200
-6817801430,3/5/15,3,2,1790,11430,1,0,0,3,7,1190,600,1985,0,98074,47.6319,-122.035,1700,12114,525000
-2883200760,2/9/15,3,2.5,2440,7419,1,0,0,3,7,1520,920,1961,0,98103,47.6857,-122.334,2440,4880,925000
-1797500985,9/2/14,4,2.25,2410,4000,2,0,0,5,8,1650,760,1910,0,98115,47.6727,-122.316,1820,4000,883000
-2896400210,5/8/15,4,2.5,1780,2992,2,0,0,3,7,1780,0,2003,0,98072,47.7633,-122.149,1610,2961,455000
-8691510150,9/22/14,3,2.5,1900,5194,2,0,0,3,7,1900,0,2004,0,98058,47.4391,-122.117,2230,5194,343500
-6163901380,11/14/14,2,1,960,8450,1,0,0,5,6,960,0,1950,0,98155,47.755,-122.316,1090,8450,244000
-9477000650,11/19/14,3,1.75,1640,11730,1,0,0,5,7,1640,0,1967,0,98034,47.7351,-122.189,1640,7770,397000
-2560800165,3/16/15,2,1,850,5000,1,0,0,3,6,850,0,1976,0,98198,47.3817,-122.314,1160,5000,180500
-5589300495,3/4/15,3,2.75,2150,6576,1,0,0,4,7,1900,250,1926,0,98155,47.7539,-122.308,2150,9071,310000
-2517000600,1/28/15,4,2.5,2780,3969,2,0,0,3,7,2780,0,2005,0,98042,47.3992,-122.164,2260,4160,315000
-5364200477,6/3/14,3,1,1030,4958,1,0,0,5,7,1030,0,1952,0,98105,47.6647,-122.277,2230,6987,718000
-7349400100,10/9/14,3,1.75,1930,7267,1,0,0,4,7,1330,600,1977,0,98002,47.3217,-122.205,1600,7698,279950
-1455600062,10/21/14,3,2.5,2080,9612,1,0,3,4,8,1700,380,1940,0,98125,47.7293,-122.283,2560,10202,689000
-629810720,8/18/14,4,2.5,3520,9901,2,0,0,3,10,3520,0,1998,0,98074,47.6084,-122.011,3490,9667,828000
-3395800455,6/25/14,2,1,890,8100,1,0,0,3,6,890,0,1942,0,98146,47.4839,-122.34,1260,8100,150000
-9191201385,3/1/15,3,1.75,1640,3400,1,0,0,4,7,930,710,1926,0,98105,47.6694,-122.3,1380,3750,505400
-6648150040,5/13/14,5,3.25,4860,23723,2,0,2,4,11,3820,1040,1989,0,98040,47.5767,-122.215,4040,13860,1680000
-7211400615,5/15/14,3,1,1040,5000,1,0,0,3,7,1040,0,1959,0,98146,47.5122,-122.358,1440,5000,217450
-6870000150,12/18/14,4,2.5,2820,4174,2,0,0,3,9,2820,0,2004,0,98034,47.7112,-122.226,2560,4853,677000
-3324079092,4/27/15,2,2.5,1320,48787,1,0,0,3,8,1320,0,2004,0,98027,47.5157,-121.924,1830,155073,361000
-8901000543,6/9/14,3,2.5,2590,7237,2,0,0,3,8,2590,0,2004,0,98125,47.7113,-122.309,1670,7648,620000
-7428000120,12/10/14,3,2.25,1540,5449,1,0,0,2,7,1180,360,1989,0,98023,47.29,-122.358,1460,6740,176000
-6675500112,4/14/15,3,1,960,7218,1,0,0,4,7,960,0,1969,0,98034,47.7278,-122.226,1580,9104,330000
-8898701340,10/29/14,3,2.5,1190,8175,1,0,0,3,7,1190,0,1986,0,98055,47.4556,-122.203,2230,9520,290000
-3904921120,7/15/14,4,2.5,2770,9532,2,0,0,4,9,2770,0,1988,0,98029,47.5688,-122.012,2770,9219,711000
-1545806960,4/22/15,3,1.75,1060,8100,2,0,0,4,7,1060,0,1983,0,98038,47.3617,-122.047,1410,8100,295000
-3303990410,11/11/14,5,3.25,4010,12110,2,0,0,3,11,4010,0,2003,0,98059,47.5228,-122.151,4010,12334,1100000
-1862900690,9/25/14,3,2,1140,7078,1,0,0,4,7,1140,0,1991,0,98031,47.4057,-122.185,1460,7078,257500
-123039333,6/9/14,4,1,1910,16320,1.5,0,0,3,6,1910,0,1934,0,98106,47.5151,-122.366,1380,9000,240000
-8077210230,12/12/14,4,2.5,2340,8955,2,0,0,3,9,2340,0,1990,0,98074,47.6283,-122.026,2340,8955,645000
-9550200650,5/6/14,2,1.75,1170,2400,1,0,0,4,7,740,430,1903,0,98103,47.6653,-122.333,1570,3919,499000
-4326000220,10/20/14,3,1,1290,9526,1.5,0,0,3,7,1290,0,1961,0,98034,47.7111,-122.213,1290,9508,321000
-1862400522,8/22/14,3,2.5,1810,1658,3,0,0,3,8,1810,0,1998,0,98117,47.6955,-122.376,1470,1585,449000
-7589200165,1/7/15,3,2.5,1820,5280,1,0,0,4,7,910,910,1949,0,98117,47.6892,-122.375,1600,4820,515000
-925059042,10/2/14,4,1.5,2220,12385,1,0,0,3,8,1270,950,1978,0,98033,47.6734,-122.185,2030,8831,456000
-2924079044,7/23/14,3,3.75,3830,219106,2,0,0,3,9,3830,0,1977,1999,98027,47.5432,-121.952,2440,219106,865000
-5535600110,6/18/14,4,2.5,2920,7700,2,0,0,3,9,2920,0,2003,0,98019,47.7351,-121.975,2920,8943,515500
-1428900033,11/19/14,4,2.5,2630,6100,2,0,0,3,8,2630,0,2004,0,98072,47.7735,-122.167,2360,5765,576925
-1822059382,1/2/15,3,1.75,1320,10416,1,0,0,3,7,1320,0,1996,0,98031,47.3902,-122.208,1670,7991,243000
-3584000180,5/28/14,3,2,1400,8640,1,0,0,5,7,1400,0,1968,0,98003,47.3182,-122.319,1270,9375,253400
-7812500180,4/13/15,3,2.5,1600,3580,2,0,0,3,7,1600,0,2000,0,98178,47.4939,-122.261,2020,4327,292000
-984210220,12/3/14,3,2.5,1490,8005,1,0,0,3,7,1090,400,1976,0,98058,47.4359,-122.165,1880,7905,271500
-8682310220,8/27/14,2,2.5,2170,6750,1,0,0,3,8,2170,0,2012,0,98053,47.7115,-122.014,2150,6074,765000
-7586200061,3/12/15,3,3.25,1280,1730,2,0,0,3,8,1090,190,2005,0,98177,47.7032,-122.36,1280,2121,375000
-5127100100,5/11/15,3,2,1620,9566,1,0,0,4,7,1620,0,1968,0,98059,47.474,-122.146,1660,10011,382880
-7856000150,6/9/14,3,2.5,2630,10100,1,0,0,4,9,1580,1050,1967,0,98006,47.5638,-122.153,2400,9700,852500
-5076700025,11/24/14,3,1.5,1240,8738,1,0,0,3,7,1240,0,1959,0,98005,47.5849,-122.17,1440,9344,475000
-9221400600,5/23/14,3,1.75,1300,2580,1,0,0,5,7,820,480,1919,0,98115,47.674,-122.319,1180,2820,462000
-1924059278,6/11/14,3,1.75,2430,14607,1,0,1,3,8,1230,1200,1949,1970,98040,47.5588,-122.211,2750,17425,762400
-6163901283,1/30/15,4,1.5,1890,7540,1,0,0,4,7,1890,0,1967,0,98155,47.7534,-122.318,1890,8515,330000
-7504460090,7/25/14,3,2.25,1890,12236,1,0,0,3,8,1890,0,1978,0,98074,47.6232,-122.047,2390,12323,473000
-4154302560,11/21/14,3,1.5,2440,7200,1,0,0,3,7,2440,0,1949,0,98118,47.5604,-122.274,1920,6900,550000
-7905390220,6/23/14,3,2.25,1780,7280,1,0,2,3,7,1340,440,1972,0,98034,47.723,-122.215,2060,7280,449500
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-2484700155,10/14/14,4,2,2060,6000,1,0,1,4,8,1370,690,1954,0,98136,47.5237,-122.383,2060,6600,705000
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-2372800100,9/25/14,3,1.5,1550,9126,1,0,0,5,7,1550,0,1957,0,98022,47.2012,-122,1450,9282,245000
-7518501822,10/17/14,3,2.5,1190,1290,3,0,0,3,8,1190,0,2008,0,98107,47.6762,-122.378,1410,1923,469000
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-623049232,7/15/14,2,0.75,550,7980,1,0,0,3,5,550,0,1952,0,98146,47.511,-122.348,1330,7980,115000
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-2354300845,8/4/14,3,1,1020,6000,1,0,0,3,5,1020,0,1900,0,98027,47.5281,-122.031,2070,7200,210000
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-1951100100,11/13/14,3,1,940,11055,1.5,0,0,4,7,940,0,1959,0,98032,47.3732,-122.295,1420,9100,180000
-9499200220,6/11/14,3,2,1640,5280,1.5,0,0,5,6,1640,0,1910,0,98002,47.3089,-122.213,1160,7875,234000
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-822069118,7/29/14,3,3.25,3660,66211,2,0,0,3,10,3660,0,2003,0,98038,47.4087,-122.062,3660,107153,920000
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-7950700110,12/9/14,3,1.75,1100,10125,1,0,0,4,7,1100,0,1969,0,98092,47.3232,-122.103,1520,10125,224000
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-3313600077,9/19/14,3,1,1320,7155,1,0,0,4,6,1320,0,1961,0,98002,47.2857,-122.22,1070,8100,185000
-452001540,8/18/14,3,1.75,1470,5000,1.5,0,0,5,7,1470,0,1900,0,98107,47.6755,-122.369,1530,5000,554600
-3832710210,8/25/14,3,1.75,1480,8009,1,0,0,3,7,980,500,1980,0,98032,47.3657,-122.28,1790,7678,268000
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-3424069066,5/21/14,3,1.75,1540,12446,1,0,0,5,8,1540,0,1967,0,98027,47.5172,-122.027,1330,11508,396450
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-809002290,5/19/14,4,3,2240,6000,1.5,0,0,4,8,1270,970,1914,0,98109,47.6369,-122.35,2240,4250,1190000
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-3488300110,9/10/14,2,1,1140,5650,1,0,1,3,6,980,160,1920,0,98116,47.5634,-122.391,1220,5700,374000
-3971700330,4/15/15,4,2,1780,12161,1,0,0,5,7,1160,620,1950,0,98155,47.7746,-122.323,1780,8170,415000
-5561400220,8/19/14,4,2.5,3370,35150,1,0,0,5,8,1770,1600,1993,0,98027,47.461,-122.002,2920,41241,592500
-2979800762,9/4/14,3,2.5,1484,1761,3,0,0,3,7,1484,0,2003,0,98115,47.6844,-122.317,1484,4320,365000
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-1823059223,5/20/14,3,1.75,1560,9788,1,0,0,3,7,1560,0,1964,0,98178,47.4876,-122.226,1840,11180,291000
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-1328300820,8/6/14,3,1.75,1980,7000,1,0,0,4,8,1360,620,1977,0,98058,47.4442,-122.129,1880,7200,329000
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-3131201105,7/9/14,3,1.75,1850,5100,1,0,0,3,7,1020,830,1909,0,98105,47.6605,-122.326,1850,5100,580000
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-7950302345,8/15/14,3,1,1010,3060,1.5,0,0,3,6,1010,0,1904,0,98118,47.5657,-122.285,1330,4590,345000
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-3982700088,4/2/15,3,2.5,2720,7250,2,0,0,3,9,2720,0,1990,0,98033,47.6894,-122.195,2870,7250,910000
-3448000755,6/4/14,3,1.5,2080,5244,1,0,0,3,7,1190,890,1959,0,98125,47.7144,-122.293,1850,6982,399950
-1446400615,5/27/14,4,2,1930,6600,1,0,0,4,7,1030,900,1967,0,98168,47.482,-122.332,1220,6600,268000
-2484700145,12/29/14,4,1.75,2250,8458,1,0,0,3,8,1450,800,1954,0,98136,47.5235,-122.383,1950,7198,559000
-1753500100,7/9/14,3,2.25,1980,8755,1,0,0,4,7,1300,680,1963,0,98198,47.3922,-122.321,2030,8671,309000
-7853300770,6/9/14,3,2.5,1960,4400,2,0,0,3,7,1960,0,2006,0,98065,47.5384,-121.889,2060,4400,410000
-7236100015,5/20/14,3,1,1320,8625,1,0,0,4,7,1320,0,1957,0,98056,47.4902,-122.179,1370,8295,259000
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-6430500191,11/6/14,1,1,700,3876,1,0,0,3,6,700,0,1910,0,98103,47.6886,-122.352,1150,3952,315000
-2354300835,12/24/14,2,2,1140,12000,1,0,0,3,6,1140,0,1943,0,98027,47.5277,-122.031,1880,6125,480000
-9510300220,8/4/14,3,2.5,2750,35440,2,0,0,3,9,2750,0,1994,0,98045,47.4745,-121.723,2710,35440,556000
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-2768200090,3/17/15,6,3.75,2770,5000,1,0,0,3,8,1870,900,1969,0,98107,47.669,-122.365,1570,2108,890000
-1761300650,10/6/14,4,2,1710,8814,1,0,0,5,7,1030,680,1975,0,98031,47.395,-122.174,1710,7272,295000
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-3297700100,9/3/14,3,1.75,1740,5500,1,0,0,5,7,970,770,1953,0,98116,47.577,-122.395,1740,7250,577000
-7518506717,9/17/14,3,2.5,2830,3750,3,0,0,3,10,2830,0,2014,0,98117,47.6799,-122.385,1780,5000,959000
-65000210,6/26/14,2,1.75,1240,6417,1,0,0,5,7,1240,0,1924,0,98126,47.5439,-122.379,1800,6417,471000
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-9264901490,4/28/15,4,2.25,3220,7889,2,0,0,3,8,3220,0,1978,0,98023,47.3112,-122.339,2120,7651,335000
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-9346700150,7/2/14,3,2.5,1840,9900,1,0,0,3,9,1840,0,1978,0,98007,47.6131,-122.151,2730,9900,552000
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-7137900490,3/16/15,3,2,1660,7958,1,0,0,3,7,1130,530,1983,0,98092,47.3187,-122.171,1550,7647,203700
-9264960850,7/9/14,4,3.5,3360,9767,2,0,0,3,9,2450,910,1990,0,98023,47.3047,-122.347,2580,8757,412000
-1545808960,1/6/15,3,2,1350,8960,1,0,0,4,7,1350,0,1986,0,98038,47.3614,-122.045,1470,8288,237500
-486000085,8/15/14,4,3.5,2970,5000,2,0,2,3,9,2200,770,2001,0,98117,47.6772,-122.399,1470,4560,866800
-7977200945,3/10/15,3,1,1000,5100,1,0,0,3,7,860,140,1946,0,98115,47.6857,-122.293,1000,5100,425000
-3056700150,6/25/14,3,2,1190,6833,1,0,0,3,7,1190,0,1995,0,98092,47.3191,-122.18,1540,8000,200000
-7896300150,9/29/14,3,1.75,1670,6034,1,0,0,3,7,990,680,1957,0,98118,47.5209,-122.286,1230,6034,280000
-7399100210,11/26/14,3,1.5,1200,2002,2,0,0,3,8,1200,0,1966,0,98055,47.4659,-122.189,1270,1848,140000
-2473370110,11/14/14,5,2.5,2250,10400,1,0,0,3,8,1280,970,1973,0,98058,47.4501,-122.139,2140,9592,370000
-2770605420,9/16/14,2,0.75,1040,4000,1,0,0,3,7,930,110,1909,0,98119,47.6489,-122.372,1700,4800,550000
-7856400300,7/2/14,2,2.5,3180,9400,2,0,4,5,10,2610,570,1985,0,98006,47.5617,-122.158,3760,9450,1410000
-7856400300,3/22/15,2,2.5,3180,9400,2,0,4,5,10,2610,570,1985,0,98006,47.5617,-122.158,3760,9450,1510000
-7923700330,5/28/14,4,1.5,2040,8800,1,0,0,4,7,1020,1020,1961,0,98007,47.5965,-122.139,1490,8800,510000
-5632500110,7/16/14,3,1,1160,10518,1,0,0,3,7,1160,0,1960,0,98028,47.7343,-122.22,1670,9380,351000
-723049219,3/25/15,3,1,880,10800,1,0,0,3,6,880,0,1942,0,98146,47.4949,-122.338,1100,8820,210000
-2320069111,5/7/15,4,1.75,2290,36900,1.5,0,2,5,7,1690,600,1938,0,98022,47.2034,-122.003,2170,12434,449999
-7972604345,5/19/14,3,1,950,7620,1,0,0,3,6,950,0,1954,0,98106,47.5178,-122.346,1260,7620,137000
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-1722069097,12/29/14,3,2.5,3100,100188,1,0,0,4,7,1820,1280,1981,0,98038,47.3928,-122.066,2430,104979,540000
-4022905473,12/5/14,5,3,2560,12480,1,0,0,3,8,1590,970,2012,0,98155,47.7657,-122.284,2500,17299,565000
-5318101695,4/9/15,4,1.5,2430,3600,2.5,0,0,3,8,2430,0,1980,0,98112,47.6351,-122.285,2020,4800,940000
-5216200090,6/16/14,2,1,830,26329,1,1,3,4,6,830,0,1928,0,98070,47.4012,-122.425,2030,27338,385000
-9526500090,8/22/14,3,3,2090,7634,1,0,0,3,8,1450,640,2001,0,98019,47.7408,-121.974,2090,9600,400000
-423059039,3/21/15,3,2,2030,8649,1,0,0,3,7,2030,0,1998,0,98056,47.5082,-122.166,1760,7200,365000
-6909700437,5/22/14,2,1,1060,1600,2,0,0,3,7,1060,0,1979,0,98144,47.5888,-122.294,1360,3360,353250
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-3223039229,5/27/14,4,3.5,3400,234352,2,0,0,3,8,2500,900,1991,0,98070,47.4335,-122.449,1300,39639,475000
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-2138700141,7/2/14,2,1,1500,4000,1,0,0,3,8,1100,400,1933,0,98109,47.6409,-122.353,1980,4000,736000
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-3526039019,7/2/14,3,3,2470,7410,2,0,0,5,8,1860,610,1977,0,98117,47.6937,-122.392,2390,7800,811000
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-7568700215,3/12/15,4,1.5,1660,6617,1,0,0,5,7,1660,0,1947,0,98155,47.739,-122.323,950,7440,399500
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-2767603255,2/24/15,2,1,1170,4750,1,0,0,3,6,1170,0,1903,0,98107,47.6729,-122.378,1170,2023,540000
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-1321400650,6/3/14,3,2.25,1765,7652,2,0,0,3,7,1765,0,1996,0,98003,47.3072,-122.328,1765,7719,250000
-643300180,5/23/14,3,2.75,1800,9550,1,0,0,4,7,1320,480,1966,0,98006,47.5679,-122.178,1890,9902,665000
-322059210,2/3/15,3,2.5,2650,144183,1,0,0,3,8,2650,0,1967,0,98042,47.4212,-122.144,1940,41210,425000
-9551201560,7/22/14,2,1,1410,3600,1.5,0,0,4,7,1310,100,1925,0,98103,47.6695,-122.338,1740,4200,760000
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-49000051,3/16/15,2,1.75,1430,7921,1,0,0,3,7,1430,0,1983,0,98146,47.5088,-122.371,1290,8040,350000
-3343301393,3/30/15,5,3.5,3300,7860,2,0,0,3,9,2410,890,2001,0,98006,47.5463,-122.192,2540,9920,789888
-2832100215,3/23/15,2,1,1220,10170,1,0,0,3,7,980,240,1948,0,98125,47.7297,-122.327,1990,9064,443000
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-7550800015,7/14/14,3,1.75,1410,5000,1,0,0,4,7,810,600,1923,0,98107,47.6727,-122.395,1760,5000,550000
-8682230760,7/24/14,2,2.5,3360,6750,2,0,0,3,9,3360,0,2004,0,98053,47.7112,-122.033,2510,6750,850000
-8645511500,4/20/15,4,2.75,2270,24237,1,0,0,4,7,1360,910,1977,0,98058,47.4672,-122.175,2050,8016,352750
-8567450220,8/18/14,4,2.5,2890,9045,2,0,0,3,8,2890,0,2001,0,98019,47.7385,-121.965,2840,10114,550000
-1556200205,11/18/14,5,1,1750,3861,1.5,0,0,3,7,1750,0,1903,0,98122,47.6075,-122.295,1700,4255,774900
-9476200580,7/10/14,3,1,1010,8711,1,0,0,5,6,1010,0,1944,0,98056,47.4914,-122.186,1250,8053,250000
-8965410150,8/25/14,4,2.5,3780,23623,2,0,0,3,9,3780,0,1997,0,98006,47.559,-122.118,3370,10210,962800
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-379000051,8/26/14,5,2.25,1980,13132,1,0,0,4,7,1260,720,1962,0,98198,47.3984,-122.301,1880,11325,307700
-871000155,12/11/14,3,1,1650,5102,1,0,0,4,8,1300,350,1953,0,98199,47.6524,-122.404,1440,5102,665000
-7852020580,7/24/14,3,2.75,1890,3930,2,0,0,3,8,1890,0,1999,0,98065,47.5337,-121.867,2100,4259,375000
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-809001965,7/29/14,3,1.5,1980,4000,2,0,0,3,8,1980,0,1919,0,98109,47.6364,-122.351,1980,3600,707000
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-6699000740,4/21/15,6,3.75,3190,4700,2,0,0,3,8,3190,0,2003,0,98042,47.3724,-122.105,2680,5640,359500
-8651610580,11/7/14,4,2.5,2570,7980,2,0,0,3,9,2570,0,1998,0,98074,47.6378,-122.065,2760,6866,715000
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-5415350770,9/23/14,4,2.5,2810,11902,2,0,0,4,9,2810,0,1993,0,98059,47.5303,-122.143,2990,10754,747500
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-2781250610,12/2/14,3,2,1470,2781,2,0,0,3,6,1470,0,2003,0,98038,47.349,-122.024,1360,3008,250000
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-3500100047,10/8/14,2,1,890,8180,1,0,0,3,7,890,0,1947,0,98155,47.737,-122.3,1130,8180,275400
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-3758900037,5/5/15,4,2.5,2580,10631,2,0,2,4,9,2580,0,1992,0,98033,47.6993,-122.206,4220,10631,865000
-2724201202,3/4/15,2,2,1250,7543,1,0,0,3,7,1250,0,1962,0,98198,47.4051,-122.296,1250,7506,163000
-7855600730,9/8/14,4,2.75,3140,9085,1,0,2,5,8,1570,1570,1961,0,98006,47.5675,-122.16,2430,9350,920000
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-3811300090,7/24/14,3,1.75,1810,8048,1,0,0,4,7,1290,520,1983,0,98055,47.4484,-122.194,1550,9081,325000
-538000450,6/3/14,5,2.5,2090,4698,2,0,0,3,7,2090,0,1998,0,98038,47.3538,-122.025,2070,4698,315000
-6303400475,9/11/14,4,1,1120,8763,1,0,0,3,6,1120,0,1971,0,98146,47.508,-122.358,1120,8636,227000
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-1781500180,3/27/15,2,1,1080,4725,1.5,0,0,3,7,1080,0,1944,0,98126,47.5275,-122.381,1520,4961,390000
-2341800195,11/6/14,2,1,890,5000,1,0,0,4,6,890,0,1947,0,98118,47.5526,-122.287,1160,5000,302000
-52000067,11/3/14,3,3.5,1650,1577,2,0,0,3,7,1100,550,2012,0,98109,47.6302,-122.344,1580,1280,495000
-1972202023,9/4/14,3,2.5,1820,1545,3,0,2,3,8,1640,180,1998,0,98103,47.6523,-122.346,1440,1290,504500
-2919700540,3/18/15,4,1.75,2320,4800,1.5,0,0,3,7,2170,150,1918,0,98117,47.6893,-122.365,1390,4800,555000
-6613000375,3/17/15,4,3.5,3260,5000,2,0,0,5,9,2630,630,1937,0,98105,47.6598,-122.273,2600,5000,1550000
-2391600735,9/9/14,3,1.5,1730,5750,1,0,0,3,7,1250,480,1947,0,98116,47.5645,-122.397,1370,5750,550000
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-822069066,2/23/15,4,2.5,1620,219542,2,0,0,3,7,1620,0,1980,0,98038,47.4014,-122.069,2240,217800,365000
-3834000820,6/13/14,3,2,2020,8555,1,0,0,4,7,1220,800,1957,0,98125,47.7278,-122.287,1600,8148,458000
-1432700880,4/9/15,2,1,1150,12861,1,0,0,3,6,1150,0,1959,0,98058,47.4493,-122.171,1170,7574,280000
-3658700395,4/9/15,4,1.75,1940,3060,1,0,0,4,7,1000,940,1911,0,98115,47.6786,-122.317,1320,3060,628000
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-4449800063,4/3/15,2,1,750,2786,1,0,0,5,7,750,0,1947,0,98117,47.6892,-122.393,1700,4653,435000
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-1604600790,2/11/15,2,2,860,3000,1,0,0,3,6,860,0,1906,0,98118,47.5633,-122.288,1290,3500,316000
-1796380330,6/23/14,3,2,1310,6738,1,0,0,4,7,1310,0,1990,0,98042,47.3694,-122.083,1290,8067,249900
-3416600490,7/31/14,3,2.25,1780,4252,2,0,0,4,8,1540,240,1989,0,98144,47.6004,-122.292,2220,4000,675000
-3904901520,10/30/14,3,2.25,1440,4667,2,0,0,3,7,1440,0,1985,0,98029,47.5662,-122.017,1610,4756,447000
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-567000401,4/21/15,4,2.5,2100,1397,3,0,0,3,8,1580,520,2008,0,98144,47.5928,-122.295,1490,1201,546000
-6450300673,12/31/14,3,2,1310,1361,3,0,0,3,7,1310,0,2003,0,98133,47.7337,-122.343,1370,1608,310000
-4440400155,1/6/15,3,1,1280,5100,1,0,0,3,7,880,400,1961,0,98178,47.5035,-122.259,1360,6120,190000
-2450000165,6/18/14,3,1.5,1320,8114,1,0,0,3,8,1320,0,1951,0,98004,47.5827,-122.195,2110,8114,650000
-9828701605,10/2/14,3,2.5,1740,2350,2,0,0,3,8,1130,610,1995,0,98112,47.6207,-122.297,1740,3201,585000
-856000985,11/6/14,4,2.5,2910,7364,2,0,0,3,10,2910,0,2003,0,98033,47.6906,-122.213,2480,8400,1430000
-7504100360,1/12/15,4,2.5,2500,12090,1,0,0,3,9,2500,0,1983,0,98074,47.6346,-122.045,3380,12760,565000
-7883606725,11/11/14,3,1,1100,6000,1.5,0,0,2,6,1100,0,1926,0,98108,47.5279,-122.318,960,5880,174900
-2926049564,9/24/14,3,2.25,1381,1180,3,0,0,3,8,1381,0,2007,0,98125,47.711,-122.32,1381,1180,360000
-7418700040,4/29/15,3,1,960,9624,1,0,0,3,7,960,0,1953,0,98155,47.7758,-122.301,1540,9624,234000
-3756900027,11/25/14,8,3,3840,15990,1,0,0,3,7,2530,1310,1961,0,98034,47.7111,-122.211,1380,8172,575000
-7237300610,3/3/15,3,2.5,2200,5954,2,0,0,3,7,2200,0,2004,0,98042,47.3709,-122.125,2200,5046,315000
-1312900180,3/25/15,3,1,1250,7820,1,0,0,3,7,1250,0,1967,0,98001,47.3397,-122.291,1300,7920,225000
-3824100211,6/26/14,3,1.5,2380,14500,1,0,0,4,7,1850,530,1961,0,98028,47.7714,-122.256,1830,13600,370000
-455000395,5/23/14,3,1,1500,3920,1,0,0,3,7,1000,500,1947,0,98107,47.6718,-122.359,1640,4017,606000
-2472950120,6/3/14,3,2,1410,7622,1,0,0,4,7,1410,0,1983,0,98058,47.4273,-122.147,1830,8330,272500
-7977201709,3/23/15,3,1.75,1680,3420,1,0,0,3,7,960,720,1992,0,98115,47.6855,-122.291,1680,4080,475000
-5095400040,6/5/14,3,1,1500,13500,1,0,0,4,7,1500,0,1968,0,98059,47.4666,-122.072,1350,13680,270000
-2324039152,8/18/14,4,1.75,2710,9216,1,0,0,3,8,1440,1270,1961,0,98126,47.5523,-122.379,1960,6350,624000
-1442300035,7/2/14,3,1.75,1730,7416,1.5,0,0,3,7,1730,0,1954,0,98133,47.76,-122.349,1390,6490,355000
-6145601725,11/4/14,3,1,960,3844,1,0,0,3,7,960,0,1972,0,98133,47.7027,-122.346,1020,3844,345000
-7137950210,11/20/14,4,2.5,2380,7792,2,0,0,3,8,2380,0,1993,0,98092,47.3273,-122.173,2260,7378,342000
-2720069019,11/3/14,3,1.75,1120,98445,1.5,0,2,4,7,1120,0,1917,0,98022,47.1853,-122.017,1620,34200,316000
-1560920040,7/31/14,4,2.5,2960,37430,2,0,0,3,9,2960,0,1990,0,98038,47.3988,-122.023,2800,36384,539950
-7812801785,2/18/15,3,2,1580,6655,1,0,0,3,6,790,790,1944,0,98178,47.4927,-122.248,1090,6655,221347
-8860500300,7/18/14,3,2.5,1870,4657,2,0,0,3,8,1870,0,2000,0,98055,47.4615,-122.214,2290,4795,330000
-6142100090,7/18/14,4,2.5,1810,13000,1,0,0,4,8,1470,340,1977,0,98022,47.2202,-121.993,1850,13000,279000
-4083302225,10/14/14,4,3,2550,3784,1.5,0,0,4,8,1750,800,1900,0,98103,47.6559,-122.338,2100,4560,850000
-2591700037,2/12/15,3,1.75,1910,12321,1,0,0,4,7,1100,810,1952,0,98004,47.5995,-122.198,1910,11761,746000
-5458300580,10/1/14,2,2,1200,1867,1,0,0,3,7,600,600,1924,1998,98109,47.627,-122.345,1790,2221,478000
-3362400650,1/16/15,4,2.75,2420,4635,1.5,0,0,5,7,2420,0,1905,0,98103,47.682,-122.347,1590,3150,820000
-5553300375,8/20/14,3,3.5,3080,6495,2,0,3,3,11,2530,550,1996,2006,98199,47.6321,-122.393,4120,8620,2160000
-2024059111,10/23/14,3,3,3850,38830,2,0,1,3,10,3850,0,2000,0,98006,47.5535,-122.191,2970,14050,820000
-6649900090,4/18/15,3,2,3000,22040,2,0,2,4,8,2470,530,1942,0,98177,47.7745,-122.368,2600,7947,887000
-3356403400,7/24/14,3,1,1360,20000,1,0,0,4,7,1360,0,1953,0,98001,47.2861,-122.253,1530,9997,159000
-2771604190,6/17/14,7,4.25,3670,4000,2,0,1,3,8,2800,870,1964,0,98199,47.6375,-122.388,2010,4000,824000
-6638900265,9/25/14,4,2.5,2270,5000,2,0,0,3,9,2270,0,2014,0,98117,47.6916,-122.37,1210,5000,812000
-8731960540,12/15/14,4,2.5,1750,11400,2,0,0,4,7,1750,0,1975,0,98023,47.3149,-122.386,1890,9024,242000
-7853301400,5/20/14,4,2.5,3550,8048,2,0,0,3,9,3550,0,2007,0,98065,47.5422,-121.888,3920,7871,625000
-123039176,12/12/14,4,1,2370,30200,1.5,0,0,4,7,1570,800,1948,0,98146,47.5108,-122.366,1640,9719,399888
-4178500150,9/22/14,3,2.25,1670,6600,2,0,0,4,7,1670,0,1990,0,98042,47.3604,-122.089,1670,6801,289000
-7702600930,8/4/14,3,2,1860,12944,1,0,0,3,9,1860,0,2002,0,98058,47.4298,-122.102,2500,29279,400000
-3892500150,5/21/14,3,2.5,4460,26027,2,0,0,3,12,4460,0,1992,0,98033,47.6573,-122.173,3770,26027,1550000
-6021500970,5/28/14,2,1,1080,4000,1,0,0,3,7,1080,0,1940,0,98117,47.6902,-122.387,1530,4240,345000
-6021500970,4/7/15,2,1,1080,4000,1,0,0,3,7,1080,0,1940,0,98117,47.6902,-122.387,1530,4240,874950
-9136100056,5/28/14,3,2.75,2280,4280,1,0,0,5,7,1280,1000,1917,0,98103,47.6685,-122.335,1650,4280,875000
-205000120,3/10/15,4,2.5,2540,32647,2,0,0,3,9,2540,0,1996,0,98053,47.6324,-121.988,2740,32647,628990
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-5492200090,10/7/14,4,2.75,2390,9300,1,0,0,3,8,1430,960,1979,0,98004,47.6035,-122.206,1910,9348,770126
-1777600900,7/10/14,4,2.5,2870,8995,1,0,0,5,8,1870,1000,1968,0,98006,47.5678,-122.128,2670,9672,710000
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-5745600040,8/14/14,3,1.75,2200,11520,1,0,0,4,7,2200,0,1952,0,98133,47.7659,-122.341,1690,8038,359000
-2114700090,3/1/15,2,0.75,720,5040,1,0,0,3,4,720,0,1949,0,98106,47.5323,-122.347,1290,4120,151000
-2597530650,8/15/14,3,2.5,2970,9600,2,0,0,3,9,2970,0,1994,0,98006,47.5422,-122.132,2970,9707,820000
-1099600620,3/26/15,3,1.5,960,6497,1,0,0,4,7,960,0,1970,0,98023,47.3018,-122.378,1160,7080,160000
-3693901720,7/1/14,4,1.75,1420,5000,1.5,0,0,4,7,1420,0,1945,0,98117,47.6771,-122.397,1490,5000,535000
-7417100123,4/23/15,3,2.25,1800,9010,1,0,0,3,7,1300,500,1975,0,98155,47.7722,-122.312,1950,10240,365000
-8691410730,2/20/15,4,2.5,3090,5600,2,0,0,3,9,3090,0,2005,0,98075,47.597,-121.979,3080,5788,708000
-3832300090,7/9/14,3,1,1200,7280,1,0,0,4,7,1200,0,1967,0,98032,47.3724,-122.277,1200,8400,215000
-2525049113,7/25/14,4,3.5,4065,18713,2,0,0,4,10,4065,0,1987,0,98039,47.6209,-122.237,3070,18713,1950000
-1523059103,9/26/14,4,2.5,2570,22215,2,0,0,5,7,2570,0,1958,0,98059,47.4833,-122.157,2460,6533,390000
-3187600100,5/13/14,3,2,1530,5401,1,0,0,4,7,1530,0,1937,0,98115,47.686,-122.304,1640,5467,570000
-1628700107,6/25/14,3,1.75,1500,13430,1,0,0,3,7,1500,0,1977,0,98072,47.7527,-122.082,1500,13430,383000
-1152700120,4/9/15,4,3,2490,5706,2,0,0,3,9,2490,0,2005,0,98042,47.3509,-122.165,2650,5880,370000
-808300180,2/11/15,4,2.5,3040,12522,2,0,0,3,7,3040,0,2000,0,98019,47.7247,-121.959,2490,9742,454000
-3585300194,3/24/15,5,3.25,4140,32700,1,0,4,3,10,2190,1950,1973,0,98177,47.7633,-122.369,3220,22077,1400000
-3342700610,7/28/14,4,1.75,1690,10854,1,0,0,3,7,1690,0,1977,0,98056,47.5241,-122.199,2390,7000,371000
-7376300085,5/5/15,3,1.75,1430,10350,1,0,0,3,7,1430,0,1959,0,98008,47.6353,-122.123,1890,10350,530000
-6204000040,6/10/14,4,2.75,2490,9714,1,0,0,4,8,1400,1090,1983,0,98011,47.7496,-122.201,2060,15300,608000
-3992700475,11/11/14,3,1.75,1350,7200,1,0,0,5,7,1350,0,1954,0,98125,47.713,-122.284,1100,7200,450000
-9510920120,7/30/14,4,2.5,3140,14421,2,0,0,3,10,3140,0,1994,0,98075,47.5943,-122.018,3140,17417,780000
-9485920120,8/29/14,4,2.5,2340,52272,2,0,0,2,8,2340,0,1978,0,98042,47.3468,-122.091,2480,40500,290000
-1685200110,9/16/14,3,1.75,1610,14182,1,0,0,4,7,1100,510,1978,0,98092,47.3174,-122.18,1510,8400,225000
-7574910650,9/11/14,4,2.5,3320,38032,2,0,0,4,10,3320,0,1991,0,98077,47.7478,-122.036,3270,37804,805000
-4178600040,4/7/15,3,2.5,2390,15669,2,0,0,3,9,2390,0,1991,0,98011,47.7446,-122.193,2640,12500,660000
-3793700210,6/13/14,3,1.75,1180,13927,1,0,0,5,7,1180,0,1962,0,98059,47.4818,-122.094,1400,13173,299000
-1972200325,9/19/14,2,2.25,1260,1312,3,0,0,3,8,1260,0,2007,0,98103,47.6538,-122.356,1300,1312,530000
-7010701383,10/17/14,3,2.5,1800,4400,1,0,0,5,7,1350,450,1970,0,98199,47.6599,-122.396,1920,4400,680000
-3353401340,2/16/15,4,1.75,1790,12000,1,0,0,5,6,1790,0,1944,0,98001,47.2664,-122.256,1550,9840,199900
-3352401037,1/8/15,3,1.75,1760,6300,1,0,0,3,7,1060,700,1963,0,98178,47.5003,-122.26,1340,7300,224000
-8802400906,8/29/14,3,1.75,1540,8885,1,0,0,4,7,1440,100,1980,0,98031,47.4031,-122.201,1540,12734,244000
-4443800940,4/8/15,4,1.75,1260,3880,1,0,0,5,7,860,400,1918,0,98117,47.687,-122.391,1000,3880,485000
-2215450100,1/12/15,4,2.5,2240,7589,2,0,0,3,8,2240,0,1994,0,98030,47.3824,-122.207,2250,7300,330000
-8900000100,12/31/14,4,2,1630,1724,1.5,0,0,3,6,1030,600,1915,1970,98119,47.6472,-122.362,1780,3810,509000
-8079010220,11/17/14,4,2.5,2350,7203,2,0,0,3,8,2350,0,1989,0,98059,47.5123,-122.151,2260,7274,440000
-8078050120,12/10/14,3,2,1350,8587,1,0,0,3,7,1350,0,1998,0,98022,47.2073,-122.012,1350,8587,244000
-1773101215,7/17/14,4,1.75,1320,4800,1,0,0,4,7,870,450,1930,0,98106,47.5534,-122.365,940,4800,399700
-2768100205,6/25/14,4,2.5,1950,2617,1.5,0,0,4,7,1250,700,1910,0,98107,47.6696,-122.372,1520,1438,519000
-5537200043,5/8/14,4,1,2100,9200,1,0,0,3,7,1050,1050,1959,0,98168,47.476,-122.292,1540,10033,211000
-868000905,7/8/14,3,2.5,3480,7800,1,0,0,4,7,1750,1730,1941,1998,98177,47.7047,-122.378,3010,9918,950000
-8635760490,9/2/14,3,2.5,1830,2839,2,0,0,3,8,1830,0,1999,0,98074,47.6022,-122.021,1830,3011,410000
-3052700245,3/25/15,4,2,2640,5000,2,0,0,3,7,2040,600,1949,0,98117,47.678,-122.375,1330,5000,750000
-9320901250,9/10/14,3,1,900,2550,1,0,0,4,6,900,0,1978,0,98023,47.3036,-122.363,1120,2550,133400
-2420069042,4/24/15,3,2,1553,6550,1,0,0,3,7,1553,0,1900,2001,98022,47.2056,-121.994,1010,10546,240000
-6870300090,6/4/14,3,2.5,1710,2300,2,0,0,3,8,1570,140,2005,0,98052,47.6743,-122.142,2120,2856,539000
-1223089066,8/14/14,4,3,3400,292723,2,0,0,3,10,3400,0,1998,0,98045,47.4883,-121.725,1760,69696,688000
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-3649100015,5/13/15,3,2.25,1820,15000,1,0,0,3,7,1480,340,1978,0,98028,47.7401,-122.249,1930,13600,480000
-1189000180,9/10/14,2,1,1510,3360,1,0,0,3,7,880,630,1924,0,98122,47.6135,-122.297,1330,3360,525000
-3905120610,6/25/14,4,2.5,2070,5415,2,0,0,3,8,2070,0,1996,0,98029,47.5706,-122.006,2120,5331,578000
-993002177,5/6/15,3,2.5,1380,1547,3,0,0,3,8,1380,0,2000,0,98103,47.6908,-122.341,1380,1465,345000
-6384500535,3/26/15,3,1,1270,6250,1,0,0,3,7,910,360,1955,0,98116,47.5694,-122.397,2000,6250,499000
-7751800115,8/26/14,3,1.5,1390,9680,1,0,0,4,7,1390,0,1956,0,98008,47.634,-122.125,1460,10050,425000
-4137020820,10/27/14,4,3,1840,7510,2,0,0,5,8,1840,0,1988,2013,98092,47.2595,-122.218,1650,7957,268000
-9407000230,12/4/14,3,1,1600,12566,1,0,0,4,7,1600,0,1971,0,98045,47.4431,-121.765,1600,10650,240000
-3306200230,3/3/15,3,1.5,1480,9606,1,0,0,4,7,1100,380,1964,0,98023,47.2978,-122.363,1600,9619,147000
-3888100176,3/6/15,4,2,2120,7806,1,0,0,4,6,1770,350,1949,0,98033,47.6859,-122.166,1560,9920,500000
-7011201325,10/28/14,4,2.75,2940,5400,1.5,0,2,5,8,1940,1000,1910,0,98119,47.6366,-122.369,1970,2008,1010000
-1424130220,3/9/15,4,3,3820,26895,2,0,2,3,11,3820,0,1995,0,98072,47.7253,-122.092,3820,24751,991500
-9165100375,11/18/14,5,2,2740,3838,1,0,0,4,7,1370,1370,1959,0,98117,47.6819,-122.393,1660,4040,510000
-1651500040,8/1/14,4,4,4360,12081,2,0,0,3,10,4360,0,2007,0,98004,47.6377,-122.219,2180,10800,1980000
-8929000090,7/2/14,4,2.5,1540,1870,2,0,0,3,8,1540,0,2014,0,98029,47.5524,-121.999,1540,1619,484998
-3303850360,6/25/14,4,3.5,4660,17398,2,0,2,3,11,4660,0,2003,0,98006,47.5422,-122.112,5080,24913,1280000
-2011000120,5/29/14,3,1.75,1590,7617,2,0,0,3,7,1590,0,1986,0,98198,47.3819,-122.312,1490,7450,210000
-6751100205,8/4/14,2,1,1180,10720,1,0,0,4,7,1180,0,1955,0,98007,47.5893,-122.135,1420,10750,450000
-5078400035,4/2/15,4,1.75,2360,8286,1,0,0,3,7,1320,1040,1952,0,98004,47.6226,-122.205,1680,7630,875000
-6073300530,4/28/15,4,2.75,1860,7500,1,0,0,5,8,1220,640,1967,0,98056,47.5398,-122.173,2020,8137,529950
-9818700645,7/23/14,3,1.75,1470,4000,1,0,0,3,7,1070,400,1979,0,98122,47.6067,-122.298,1280,3500,415000
-6181700625,2/20/15,4,2,2990,12970,1.5,0,2,4,7,1960,1030,1948,0,98028,47.7605,-122.258,2500,10680,590000
-8718500610,5/26/14,3,1.5,1690,9144,1,0,0,4,7,1140,550,1956,0,98028,47.739,-122.253,1840,10600,379950
-7950302150,4/10/15,1,1,660,3570,1,0,0,3,6,660,0,1906,0,98118,47.5659,-122.284,1520,4080,385000
-923000115,10/29/14,3,1.75,2310,7620,2,0,0,3,8,2310,0,1942,1988,98177,47.7266,-122.363,2200,7672,588000
-1722800835,8/11/14,2,1,770,2191,1,0,0,3,6,770,0,1937,0,98108,47.5512,-122.323,940,5000,252500
-7436300180,5/19/14,3,3.5,2320,3174,2,0,0,3,9,2060,260,1997,0,98033,47.6897,-122.175,2320,3187,530000
-1630700276,1/5/15,2,1.5,1370,159865,1,0,0,3,7,1370,0,1960,0,98072,47.7592,-122.092,1370,16217,385000
-2558670110,8/29/14,3,2.25,1700,7650,1,0,0,4,7,1340,360,1975,0,98034,47.7214,-122.166,1980,7200,419000
-402000110,10/17/14,2,1,960,5508,1,0,0,3,6,770,190,1951,0,98118,47.5307,-122.277,1280,5304,175000
-442000175,3/31/15,2,1,1150,5664,1,0,0,3,7,870,280,1948,0,98115,47.6894,-122.284,1380,5664,515000
-8825900410,2/18/15,4,2.5,2910,4680,1.5,0,0,5,9,1850,1060,1937,0,98115,47.6745,-122.31,1960,4120,945000
-984210120,6/20/14,5,2.25,2290,7420,1,0,0,3,7,1290,1000,1973,0,98058,47.4375,-122.166,1660,7526,359900
-8044050040,8/7/14,4,2.5,2260,5164,2,0,0,3,8,2260,0,1996,0,98056,47.509,-122.166,2260,5866,419950
-2771604370,9/26/14,3,1.75,1300,4000,1,0,0,3,7,900,400,1953,0,98199,47.6368,-122.388,1750,4000,460000
-5028602020,3/5/15,3,2.25,1850,7151,2,0,0,3,7,1850,0,1989,0,98023,47.2843,-122.352,1710,6827,255000
-643300040,11/4/14,4,1.75,1920,9500,1,0,0,4,7,1470,450,1966,0,98006,47.5683,-122.177,1820,10091,481000
-643300040,3/13/15,4,1.75,1920,9500,1,0,0,4,7,1470,450,1966,0,98006,47.5683,-122.177,1820,10091,719521
-224059025,6/20/14,3,3,4910,43560,2,0,0,4,10,4000,910,1989,0,98007,47.5911,-122.131,3540,12288,1080000
-3379200100,5/23/14,4,2.5,2210,6080,1,0,2,4,8,1410,800,1965,0,98178,47.4915,-122.228,2210,6175,334000
-6338000493,9/12/14,4,2.75,2280,3200,1.5,0,0,5,8,1520,760,1931,0,98105,47.6709,-122.282,1970,4687,675000
-293000068,6/13/14,3,1.75,1640,7437,1,0,0,3,7,1090,550,1948,0,98126,47.5324,-122.38,1640,7436,556000
-6169901095,8/15/14,4,2,1980,7200,2,0,3,3,8,1700,280,1910,0,98119,47.6318,-122.369,2490,4200,900000
-4443800375,10/2/14,3,1,900,4084,1.5,0,0,3,7,900,0,1910,0,98117,47.684,-122.393,1280,4080,400000
-9376301800,3/24/15,4,1.75,1960,4340,1,0,0,5,8,980,980,1912,0,98117,47.6847,-122.37,1630,4360,724950
-6799300150,9/3/14,4,2.25,1800,4500,2,0,0,4,8,1800,0,2004,0,98031,47.394,-122.183,2010,5050,321000
-3271800910,7/1/14,4,3.5,4270,5800,2,0,3,5,10,3170,1100,1937,0,98199,47.6474,-122.411,3100,5800,1360000
-42000245,6/13/14,4,2,1520,19672,1,0,0,3,6,1020,500,1920,0,98188,47.4683,-122.281,1810,7840,171000
-1625069101,7/7/14,4,3,5430,108900,2,0,0,4,10,5430,0,1987,0,98053,47.6582,-122.038,3170,107076,1360000
-4046700110,2/24/15,3,1.75,1950,15037,1,0,0,3,7,1950,0,1989,0,98014,47.6892,-121.913,1760,15181,323000
-2423600100,5/2/14,4,1.75,2190,125452,1,0,2,3,9,2190,0,1968,0,98092,47.2703,-122.069,3000,125017,491500
-621069154,7/21/14,4,1.5,1200,10890,1,0,0,5,7,1200,0,1972,0,98042,47.3423,-122.088,1250,10139,226000
-2436200025,10/9/14,6,1.75,2180,4000,1.5,0,0,4,7,1380,800,1926,0,98105,47.6643,-122.29,1720,4000,580000
-9808610410,8/22/14,4,2.5,2320,11259,2,0,0,3,9,2320,0,1982,0,98004,47.6443,-122.194,2820,11770,640000
-1370803640,8/20/14,3,1.75,1040,5097,1,0,0,4,7,800,240,1944,0,98199,47.6385,-122.401,1630,5097,619790
-3779300210,6/30/14,4,2.5,2700,6998,2,0,0,3,8,2700,0,2001,0,98188,47.4694,-122.263,2350,10550,383962
-424049059,8/15/14,3,2,1400,2445,1,0,0,3,7,840,560,2002,0,98144,47.5926,-122.299,1400,3200,373000
-5422560850,12/10/14,3,2.5,2060,8123,2,0,0,3,8,1010,1050,1977,0,98052,47.6642,-122.13,1760,6170,541338
-558100065,10/3/14,2,1,780,8160,1,0,0,4,6,780,0,1953,0,98133,47.7356,-122.34,1310,8160,254922
-4442800040,6/24/14,3,2.25,2400,5000,1.5,0,0,4,7,1440,960,1926,0,98117,47.6897,-122.393,1630,5000,575000
-4038600300,9/2/14,4,3,2900,15535,1,0,2,4,7,1870,1030,1961,0,98008,47.612,-122.119,2330,10217,650000
-5070000120,8/13/14,3,1.5,1740,9547,1,0,0,4,7,1740,0,1962,0,98055,47.4475,-122.213,1780,9936,269950
-795002450,4/30/15,2,1,780,6250,1,0,0,3,6,780,0,1942,0,98168,47.5099,-122.33,1280,7100,270950
-3579000180,12/29/14,3,2.75,2430,14861,1,0,0,3,9,1530,900,1988,0,98028,47.7461,-122.247,2230,10300,495000
-6821102170,5/7/14,4,2,2210,8556,1,0,1,4,8,1210,1000,1954,0,98199,47.6498,-122.396,2190,7975,794154
-5151900110,12/19/14,3,1.5,1510,11200,1,0,0,4,8,1510,0,1960,0,98003,47.3347,-122.325,2110,12070,340768
-5101407790,8/1/14,2,1,900,5413,1,0,0,3,7,900,0,1947,0,98125,47.7047,-122.307,1280,6380,375000
-2538400040,5/24/14,4,2.5,3670,7000,2,0,0,3,10,3670,0,2005,0,98075,47.5854,-122.08,3680,7437,820000
-1025049266,9/30/14,2,2.25,1160,954,2,0,0,3,8,960,200,2014,0,98105,47.6647,-122.284,1160,1327,555000
-4340610040,6/12/14,2,1.5,1070,1200,2,0,0,3,7,1070,0,1999,0,98103,47.697,-122.347,1070,1200,312500
-3204300610,12/2/14,2,1,950,4560,1.5,0,0,3,7,950,0,1925,0,98112,47.6288,-122.3,2040,4560,450000
-6793300220,1/5/15,3,2.75,2950,6667,2,0,0,3,9,2950,0,2003,0,98029,47.5577,-122.026,3340,6667,739000
-1568100087,4/13/15,3,2,1420,1716,2,0,0,3,7,1050,370,2003,0,98155,47.7364,-122.295,1420,8150,320000
-4338800600,6/9/14,3,1,1590,13000,1.5,0,0,3,6,1590,0,1944,0,98166,47.4789,-122.346,1460,8400,235000
-7211400535,3/23/15,4,1,1290,5000,1.5,0,0,3,7,1290,0,1957,0,98146,47.5128,-122.358,1440,2500,275500
-8682261140,6/18/14,2,2,1690,4500,1,0,0,3,8,1690,0,2004,0,98053,47.7133,-122.031,1640,4500,564000
-4435000145,5/1/15,4,1.75,1340,8700,1.5,0,0,3,6,1340,0,1958,0,98188,47.4514,-122.287,1240,8700,263000
-421059018,11/4/14,3,1.75,1397,18000,1,0,0,3,7,1397,0,1965,2014,98092,47.3388,-122.166,1950,31294,257000
-1321059013,3/19/15,4,2.5,3750,218506,2,0,0,3,10,3750,0,1991,0,98092,47.3045,-122.103,2540,39413,725000
-2143700406,12/11/14,3,2.25,2000,7560,1,0,0,3,7,1400,600,1979,0,98055,47.4798,-122.228,2040,6949,300000
-8961950410,7/7/14,3,2,2250,7904,1.5,0,0,3,8,2250,0,1998,0,98001,47.3165,-122.252,2460,8622,328000
-1788800770,7/28/14,3,1,840,8400,1,0,0,3,6,840,0,1959,0,98023,47.3281,-122.344,1030,8640,187500
-7518507685,2/23/15,3,1,1100,5100,2,0,0,4,7,1100,0,1900,0,98117,47.679,-122.386,1540,5100,400000
-2490200220,3/2/15,3,1.5,1660,5100,1,0,0,4,7,1210,450,1954,0,98136,47.5345,-122.383,1440,5100,515000
-284000025,4/20/15,2,2,2180,18525,1,1,4,5,9,1580,600,1952,0,98146,47.5036,-122.387,2480,21503,1410000
-522059189,4/17/15,3,1,1460,8400,1,0,0,3,7,1460,0,1958,0,98055,47.4243,-122.198,1460,9600,235000
-7203150330,7/17/14,4,2.5,2470,4945,2,0,0,3,8,2470,0,2012,0,98053,47.6898,-122.015,2510,4988,669000
-3124089060,4/24/15,3,1,1250,13503,1.5,0,0,4,6,1250,0,1931,0,98065,47.526,-121.829,1450,13503,282000
-7518504130,6/26/14,3,2,1480,3876,1,0,0,5,7,860,620,1928,0,98117,47.6808,-122.382,1660,3774,663000
-7893802670,4/24/15,3,3.25,2240,5000,2,0,0,3,9,1540,700,1989,0,98198,47.4114,-122.334,1800,7500,279900
-2548100180,5/7/14,3,2,1570,7200,1,0,0,4,7,1570,0,1952,0,98155,47.7501,-122.314,1410,7434,335000
-4024100915,12/31/14,4,2.75,3250,10000,2,0,0,3,9,3250,0,2014,0,98155,47.7557,-122.309,1620,10089,689000
-1026069106,4/21/15,3,2.25,1790,231303,1,0,0,3,7,1250,540,1980,0,98077,47.7558,-122.027,2090,93654,413100
-7852020720,3/27/15,3,2.5,2080,4931,2,0,0,3,8,2080,0,2000,0,98065,47.5342,-121.868,1890,4229,506950
-9828702265,5/6/14,3,2.5,1480,1171,3,0,0,3,8,1480,0,2006,0,98112,47.62,-122.3,1480,1231,500000
-5104511250,6/13/14,5,3,3610,9775,2,0,0,3,8,3610,0,2003,0,98038,47.3545,-122.011,2800,8582,540000
-9828201885,8/22/14,3,2.5,2040,4559,2,0,0,3,9,2040,0,1998,0,98122,47.6156,-122.295,1500,4500,812000
-7525950110,8/28/14,4,3.25,3850,19842,2,0,3,3,11,3180,670,1989,0,98074,47.6239,-122.065,4320,19500,1200000
-3211260120,12/15/14,3,2.25,3230,35306,2,0,0,3,9,3230,0,1987,0,98092,47.3065,-122.113,2760,35285,370000
-7250000065,8/25/14,3,2,2440,23512,1,0,0,3,6,1640,800,1933,0,98148,47.4594,-122.326,1630,19613,338000
-1446400564,5/7/14,4,1,1490,6600,1,0,0,3,7,1490,0,1969,0,98168,47.4835,-122.332,1280,6600,185000
-224059021,12/19/14,3,1,1150,35415,1,0,0,4,7,1010,140,1950,0,98008,47.5974,-122.129,2460,11781,450000
-6392000625,7/12/14,2,1,900,6000,1,0,0,3,7,900,0,1944,2004,98115,47.6855,-122.289,1460,4800,451000
-6817850110,4/21/15,4,2.5,3210,24527,1.5,0,0,3,11,3210,0,1984,0,98074,47.6399,-122.052,3280,24527,785000
-3902100175,7/28/14,5,3,3900,5250,1.5,0,1,5,8,2620,1280,1931,0,98116,47.5577,-122.389,1950,5700,850000
-7205400180,12/23/14,3,1,1240,18000,1,0,0,2,7,1240,0,1943,0,98198,47.3514,-122.315,1240,18000,235000
-7351200295,1/14/15,3,1.75,1760,6788,2,1,4,3,7,1760,0,1940,1960,98125,47.7336,-122.284,1630,7588,1150000
-291310260,5/16/14,3,2.25,1410,1377,2,0,0,3,7,1290,120,2005,0,98027,47.5342,-122.067,1445,1370,377500
-3026059204,5/30/14,3,2.5,2780,11964,2,0,0,3,9,2780,0,2009,0,98034,47.7127,-122.216,1760,9640,825500
-2856102105,6/10/14,5,3.25,3230,3825,2,0,0,3,9,2480,750,2014,0,98117,47.6785,-122.392,1480,5100,1060000
-3343301343,11/20/14,5,3.5,4600,8764,2,0,0,3,10,3180,1420,2007,0,98006,47.5491,-122.19,3210,9431,880000
-8682302030,5/21/14,3,2,1440,4421,1,0,0,3,8,1440,0,2007,0,98053,47.7188,-122.024,1440,4157,413800
-1048000160,6/27/14,2,1.5,1200,1687,3,0,0,3,8,1200,0,2008,0,98103,47.6491,-122.334,1240,1296,504200
-5714200140,4/22/15,4,3,2793,5703,2,0,0,3,9,2793,0,2009,0,98030,47.3682,-122.178,2793,5704,421500
-1152200030,3/5/15,4,2.5,2970,5050,2,0,0,3,8,2970,0,2014,0,98052,47.7043,-122.122,2810,4998,855169
-3157600075,2/7/15,3,2,1440,3218,1,0,0,3,7,850,590,2008,0,98106,47.5655,-122.36,1170,5000,380000
-1972200554,8/4/14,3,2.25,1480,1026,3,0,0,3,8,1480,0,2014,0,98103,47.6536,-122.354,1570,1283,580000
-9429400060,4/9/15,3,2.5,1870,5333,2,0,0,3,8,1870,0,2012,0,98019,47.7447,-121.984,2100,3730,377000
-301401610,9/30/14,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.3452,-122.209,2475,4000,329900
-1025039326,8/28/14,4,2.5,2950,7024,2,0,0,3,10,2950,0,2012,0,98199,47.6651,-122.403,2950,6339,921800
-9385200041,3/4/15,3,2.25,1410,905,3,0,0,3,9,1410,0,2014,0,98116,47.5818,-122.402,1510,1352,529500
-7237450550,6/3/14,4,2.5,2240,3712,2,0,0,3,8,2240,0,2014,0,98038,47.3551,-122.061,2530,4315,363990
-2862500060,1/15/15,5,2.75,3230,6500,2,0,0,3,9,3230,0,2014,0,98074,47.6237,-122.023,3180,7624,834950
-4046500270,8/19/14,3,2,2100,31550,1,0,0,3,8,2100,0,2010,0,98014,47.6907,-121.917,1860,18452,399000
-2161400060,11/14/14,3,2.25,1936,9495,1,0,0,3,8,1936,0,2013,0,98030,47.3714,-122.197,1410,12770,338900
-2781230070,3/11/15,3,2.5,3120,6000,2,0,0,3,9,3120,0,2007,0,98038,47.3473,-122.03,2670,6000,419950
-4019500160,4/13/15,4,2.5,2070,4270,2,0,0,3,8,2070,0,2010,0,98028,47.773,-122.265,2070,4610,493000
-6980500030,12/11/14,4,2.5,3700,4500,2,0,0,3,9,3700,0,2007,0,98028,47.7473,-122.23,3050,5047,650000
-1442880260,9/9/14,3,2.5,2130,5205,2,0,0,3,8,2130,0,2013,0,98045,47.4832,-121.774,2250,5462,456000
-9268851860,9/18/14,3,2.25,1620,997,2.5,0,0,3,8,1540,80,2010,0,98027,47.54,-122.026,1620,1068,425000
-832700320,2/9/15,3,2.5,1490,2478,3,0,0,3,8,1490,0,2009,0,98133,47.7236,-122.353,1270,1156,348000
-2937300550,10/29/14,5,4,4180,7232,2,0,0,3,9,4180,0,2014,0,98052,47.7049,-122.125,3570,6054,1040000
-2114700368,11/18/14,2,2.5,1400,1262,2,0,0,3,8,1160,240,2008,0,98106,47.5342,-122.349,1060,1524,299000
-2213000030,5/12/14,4,3.75,3490,9170,2,0,0,3,9,3490,0,2012,0,98004,47.5991,-122.2,1810,8470,1260000
-2626119062,11/12/14,3,1,1300,6098,1,0,0,3,7,1300,0,2013,0,98014,47.7074,-121.364,1300,6849,155000
-7338220160,2/25/15,4,2.5,2730,4962,2,0,0,3,8,2730,0,2006,0,98002,47.3363,-122.216,2150,3802,319500
-2781280310,12/22/14,3,2.5,1830,2517,2,0,0,3,8,1830,0,2005,0,98055,47.4496,-122.189,1610,2762,274000
-3448740070,6/16/14,5,2.5,2340,4500,2,0,0,3,7,2340,0,2009,0,98059,47.4911,-122.154,2190,4500,429000
-2895800710,12/2/14,3,1.75,1410,1899,2,0,0,3,8,1410,0,2014,0,98106,47.5171,-122.347,1410,1811,267800
-723049434,4/8/15,3,2.5,1930,8254,2,0,0,3,7,1930,0,2014,0,98146,47.4973,-122.346,1540,8849,369950
-2922059212,1/9/15,6,5,3028,18055,2,0,0,3,7,3028,0,2005,0,98030,47.3651,-122.197,1400,34575,480000
-1441000350,9/15/14,4,3.5,3180,4869,2,0,0,3,8,2390,790,2007,0,98055,47.4482,-122.206,2850,4500,440000
-8562790310,3/24/15,4,3.25,2950,4161,2,0,0,3,10,2210,740,2014,0,98027,47.5297,-122.073,2790,3693,839704
-2767604425,1/29/15,3,3.25,1430,1276,3,0,0,3,8,1430,0,2007,0,98107,47.6712,-122.38,1430,1243,535000
-306000565,8/25/14,2,1.5,1020,1275,3,0,0,3,8,1020,0,2008,0,98103,47.7003,-122.346,980,1415,290000
-6130500060,7/21/14,3,2.5,1650,1793,3,0,0,3,8,1650,0,2007,0,98133,47.7107,-122.332,1650,1863,370000
-3362400125,3/3/15,3,2,1060,651,3,0,0,3,7,1060,0,2007,0,98103,47.6828,-122.345,1440,1501,405000
-1442880510,5/30/14,4,2.75,2620,6019,2,0,0,3,8,2620,0,2013,0,98045,47.484,-121.771,2790,6716,499431
-9188200505,7/10/14,4,2.5,1830,3868,2,0,0,3,7,1830,0,2007,0,98118,47.5186,-122.276,2330,3868,275000
-1865400075,5/22/14,3,2.25,998,844,2,0,0,3,7,798,200,2007,0,98117,47.6983,-122.367,998,1110,320000
-7853320550,8/5/14,4,2.5,2070,4427,2,0,0,3,7,2070,0,2007,0,98065,47.5208,-121.869,2070,4556,425000
-9831200172,2/27/15,4,3.5,2860,2199,3,0,0,3,10,2860,0,2013,0,98102,47.6262,-122.323,1990,1378,1450000
-8141300030,2/10/15,3,2,1920,5688,1,0,3,3,9,1920,0,2007,0,98022,47.1952,-121.976,2384,4802,340000
-7899800863,10/1/14,3,2.5,1210,2046,2,0,0,3,9,920,290,2008,0,98106,47.5212,-122.357,1070,651,299900
-745530240,12/26/14,5,3.5,4890,12039,2,0,0,3,9,3590,1300,2014,0,98011,47.7338,-122.208,4590,10079,865950
-4055700784,8/15/14,4,2.5,3420,17038,2,0,0,3,9,3420,0,2007,0,98034,47.718,-122.241,2520,14190,720000
-1180000830,10/2/14,4,3.5,2870,3225,2,0,3,3,9,2070,800,2006,0,98178,47.5009,-122.225,1770,6450,460000
-291310270,11/19/14,3,2.5,1600,2042,2,0,0,3,8,1600,0,2005,0,98027,47.5341,-122.067,1445,1370,375000
-1934800162,5/11/15,2,1.5,960,1829,2,0,0,3,7,960,0,2005,0,98122,47.6032,-122.308,1470,1829,386180
-2309710070,1/14/15,3,2.75,1740,5639,1,0,3,3,7,1740,0,2010,0,98022,47.1942,-121.977,2380,5331,280000
-6181500340,8/8/14,4,2.5,2575,4725,2,0,0,3,8,2575,0,2011,0,98001,47.3058,-122.277,2575,5323,359000
-7853220390,5/2/14,5,3.25,3660,11995,2,0,2,3,10,3660,0,2006,0,98065,47.5337,-121.86,3320,11241,785000
-9834201375,2/6/15,3,2.25,1420,1230,2,0,0,3,8,940,480,2009,0,98144,47.5703,-122.288,1400,1230,425000
-5214510060,5/4/15,5,2.5,3070,7200,2,0,0,3,8,3070,0,2005,0,98059,47.4939,-122.137,2590,7200,575000
-3221079050,3/3/15,3,2.5,1920,144619,1,0,0,3,8,1920,0,2014,0,98022,47.2683,-121.946,2010,48787,465000
-1266200140,5/6/15,4,3.25,4160,10335,2,0,0,3,10,4160,0,2014,0,98004,47.6235,-122.192,1840,10333,1850000
-2523039346,2/18/15,4,3.25,3276,10801,2,0,0,3,9,3276,0,2008,0,98166,47.4585,-122.361,2010,11656,720000
-1624049293,5/6/14,5,3.75,2890,5000,1,0,0,3,7,1310,1580,2006,0,98108,47.5701,-122.296,1930,5117,390000
-1973700030,4/29/15,3,2.5,3430,10177,2,0,0,3,10,3430,0,2014,0,98034,47.7159,-122.251,3110,12339,2210000
-1070000390,7/2/14,4,3.5,3390,3979,2,0,0,3,9,2610,780,2014,0,98199,47.6482,-122.408,3350,4165,1050000
-2524059269,6/10/14,6,3.75,2930,14980,2,0,3,3,9,2930,0,2013,0,98006,47.5441,-122.117,3210,10787,915000
-1972200326,4/22/15,2,2.25,1300,1314,3,0,0,3,8,1300,0,2008,0,98103,47.6536,-122.356,1300,1312,562000
-3796000400,11/20/14,2,1.75,1250,1208,2,0,0,3,7,1040,210,2007,0,98144,47.6004,-122.299,1250,1656,349000
-321030070,8/14/14,4,2.5,2310,7800,2,0,0,3,8,2310,0,2011,0,98042,47.3737,-122.164,2310,7140,375000
-476000118,12/12/14,2,2.25,1360,1336,3,0,0,3,8,1360,0,2008,0,98107,47.6714,-122.392,1280,1295,479950
-2909310060,1/9/15,4,2.5,2020,5100,2,0,0,3,7,2020,0,2010,0,98023,47.2822,-122.357,2300,5685,319000
-832700240,10/3/14,3,1.5,1270,1067,3,0,0,3,8,1270,0,2009,0,98133,47.7236,-122.353,1090,1118,325000
-1442880570,8/21/14,4,2.75,2790,8092,2,0,0,3,8,2790,0,2013,0,98045,47.4834,-121.773,2790,6154,505657
-9542840060,3/5/15,4,2.5,2320,4142,2,0,0,3,7,2320,0,2010,0,98038,47.3662,-122.019,2150,4140,340000
-629650370,1/23/15,3,2.5,1750,6351,2,0,0,3,7,1750,0,2012,0,98001,47.2589,-122.256,1398,6092,250000
-7967000060,9/26/14,4,2.5,2030,4596,2,0,0,3,8,2030,0,2014,0,98001,47.3515,-122.275,2040,4705,349500
-3904100041,4/24/15,3,2.5,1270,865,2,0,0,3,7,1080,190,2008,0,98118,47.5351,-122.279,1630,7752,290750
-9268850860,5/5/15,5,3.25,2710,2356,2,0,0,3,8,2230,480,2013,0,98027,47.5394,-122.028,2160,2108,715000
-1454100127,8/11/14,4,2.75,2520,8433,2,0,0,3,8,2520,0,2014,0,98125,47.7214,-122.289,1890,7772,689950
-2856101290,9/24/14,2,2.5,1340,1263,3,0,0,3,8,1340,0,2008,0,98117,47.6788,-122.388,1510,1260,425000
-2767601872,1/19/15,2,3,1570,1281,3,0,0,3,8,1570,0,2014,0,98107,47.6741,-122.384,1570,2500,657000
-255370570,11/20/14,4,3.5,2690,5564,2,0,0,3,7,2690,0,2007,0,98038,47.3537,-122.018,2210,4046,359950
-301401370,7/31/14,4,2.75,2475,4276,2,0,0,3,7,2475,0,2014,0,98002,47.345,-122.21,2475,4000,319900
-1604601804,4/16/15,3,3.75,2260,2050,2,0,0,3,9,1170,1090,2010,0,98118,47.566,-122.29,2130,3082,532000
-6749700004,3/30/15,2,1,840,863,3,0,0,3,8,840,0,2008,0,98103,47.6974,-122.349,1110,1190,291000
-1806900499,7/21/14,3,3.25,1720,1330,2,0,0,3,8,1030,690,2004,0,98112,47.62,-122.309,1720,1520,675000
-7625703435,1/21/15,3,2.25,2940,6500,3,0,0,3,9,2940,0,2014,0,98136,47.5482,-122.388,1680,6500,885000
-7324900016,10/21/14,5,3.5,4170,9090,2,0,0,3,10,4170,0,2008,0,98004,47.5918,-122.196,1930,13635,1450000
-3575303430,10/16/14,6,4.25,4310,10000,2,0,0,3,8,2950,1360,2008,0,98074,47.6214,-122.062,2100,10000,780000
-9492500140,7/12/14,4,2.75,3010,7200,2,0,0,3,9,3010,0,2014,0,98033,47.6948,-122.179,3010,7203,839950
-9268851670,4/24/15,3,2.5,2170,1984,2.5,0,0,3,8,2170,0,2008,0,98027,47.5401,-122.027,2150,1984,645000
-301400830,12/23/14,3,2.5,1584,3200,2,0,0,3,7,1584,0,2011,0,98002,47.3451,-122.215,1584,2800,263000
-4310702918,10/30/14,2,2.25,1110,1290,3,0,0,3,8,1110,0,2006,0,98103,47.6968,-122.34,1360,1251,345000
-4305600240,11/25/14,4,2.5,2420,5006,2,0,0,3,8,2420,0,2013,0,98059,47.4795,-122.126,2750,5471,505000
-7169500200,9/3/14,2,2.25,1430,1210,2,0,0,3,8,1340,90,2005,0,98115,47.6765,-122.301,1430,1016,522500
-3943600070,8/11/14,3,2.5,2393,4788,2,0,0,3,8,2393,0,2012,0,98055,47.4517,-122.204,2439,5477,400000
-1048000060,6/19/14,3,2.25,1240,949,3,0,0,3,8,1240,0,2008,0,98103,47.6488,-122.334,1310,1140,543000
-3449500045,10/13/14,4,2.5,2980,12075,1,0,0,3,8,1910,1070,2007,0,98056,47.5074,-122.172,2240,12075,495000
-1438000200,9/11/14,4,3.5,2970,6587,2,0,0,3,8,2260,710,2014,0,98059,47.4776,-122.122,2970,5690,549995
-5424100030,2/11/15,3,2.5,2329,5720,2,0,0,3,8,2329,0,2010,0,98030,47.362,-122.2,2197,5720,327555
-7853270710,4/9/15,5,3.25,3340,9075,2,0,0,3,8,2600,740,2005,0,98065,47.5446,-121.88,2770,6646,690000
-9161100075,3/18/15,4,2.25,2580,2875,2,0,0,3,9,2580,0,2015,0,98116,47.5674,-122.392,1290,5750,673000
-1085622860,7/21/14,3,2.5,2029,3906,2,0,0,3,9,2029,0,2014,0,98003,47.341,-122.18,2029,3920,384435
-9578090240,8/15/14,4,2.75,3430,6500,2,0,0,3,9,3050,380,2006,0,98052,47.7079,-122.106,3070,6802,780000
-4083306045,10/29/14,5,3.75,3330,5042,2,0,2,3,9,2470,860,2014,0,98103,47.6497,-122.339,1780,3990,1380000
-6666830320,3/24/15,5,3.5,3220,5081,2,0,0,3,8,3220,0,2013,0,98052,47.7048,-122.111,2970,5753,950968
-8562780160,3/29/15,2,2.25,1240,750,2,0,0,3,7,1150,90,2008,0,98027,47.5322,-122.073,1240,750,334950
-2767704603,6/9/14,3,3.5,1500,1249,2,0,0,3,8,1240,260,2004,0,98107,47.6727,-122.373,1440,1850,489000
-5631500292,4/20/15,3,3,3530,8345,2,0,0,3,10,3530,0,2006,0,98028,47.7338,-122.234,1940,9600,600000
-2424039036,8/22/14,3,2.25,1260,915,2,0,0,3,8,1020,240,2007,0,98106,47.555,-122.363,1260,1056,282000
-2867300030,8/1/14,4,4,4168,8485,2,0,0,3,10,3222,946,2007,0,98023,47.3029,-122.387,4362,8100,442000
-6661200260,5/12/15,2,1.5,1030,2850,2,0,0,3,7,1030,0,1995,0,98038,47.3845,-122.039,1030,3000,220000
-7238000240,2/18/15,3,2.5,3080,5598,2,0,0,3,8,3080,0,2006,0,98055,47.4372,-122.206,3080,5303,489000
-4051150070,12/23/14,3,1.5,1072,4339,2,0,0,3,7,1072,0,2009,0,98042,47.386,-122.162,1443,4341,250000
-1442880320,7/24/14,4,2.75,2790,5000,2,0,0,3,8,2790,0,2014,0,98045,47.4831,-121.773,2620,5527,484259
-3616600003,3/2/15,3,2.5,4090,16972,2,0,2,3,11,3590,500,2007,0,98177,47.7258,-122.37,3740,16972,1680000
-3862710030,4/24/15,3,2.5,1800,4357,2,0,0,3,8,1800,0,2013,0,98065,47.5337,-121.841,1800,3663,450000
-9828201361,11/14/14,2,1.5,830,1276,2,0,0,3,7,830,0,2005,0,98122,47.6175,-122.297,1540,1484,299000
-4019500030,10/29/14,3,2.5,2280,4557,2,0,0,3,8,2280,0,2010,0,98028,47.7733,-122.266,2070,4610,450000
-3630240140,1/23/15,4,3,2110,1286,2,0,0,3,9,1710,400,2007,0,98029,47.5444,-122.014,2000,1286,585000
-5695000270,11/3/14,3,2.25,1570,1680,3,0,0,3,8,1570,0,2014,0,98103,47.6585,-122.348,1290,1870,660000
-2349300069,5/12/14,2,1.5,830,1333,2,0,0,3,7,830,0,2005,0,98136,47.5506,-122.381,1120,4822,301500
-6790830060,9/15/14,4,3.75,4120,8258,2,0,0,3,10,4120,0,2012,0,98075,47.5872,-122.055,3730,8332,949950
-3630200640,10/30/14,4,2.5,2540,5760,2,0,0,3,9,2540,0,2009,0,98029,47.5405,-121.993,2580,3600,759990
-7967000160,3/16/15,4,2.75,2050,4000,2,0,0,3,8,2050,0,2014,0,98001,47.3522,-122.275,2050,4000,355000
-9492500160,7/23/14,4,2.75,3080,7242,2,0,0,3,9,3080,0,2014,0,98033,47.6948,-122.178,3010,7205,889950
-9268851740,7/1/14,3,2.5,2390,1984,2,0,0,3,8,2220,170,2008,0,98027,47.5405,-122.027,2150,1984,629800
-3342100421,4/24/15,4,2.5,3170,5100,2,0,0,3,9,3170,0,2012,0,98056,47.5187,-122.208,1580,5100,745000
-6362900138,11/3/14,2,1.5,1240,1331,2,0,0,3,7,1050,190,2007,0,98144,47.5959,-122.298,1250,1431,379900
-9358001422,11/14/14,3,2.5,1090,1139,2,0,0,3,8,960,130,2009,0,98126,47.5664,-122.369,1400,1348,335000
-7853280350,5/12/14,5,4.5,4630,6324,2,0,0,3,9,3210,1420,2006,0,98065,47.5382,-121.86,4420,6790,809000
-7853361420,8/26/14,4,2.5,3230,5899,2,0,0,3,8,3230,0,2012,0,98065,47.515,-121.869,2720,5899,569950
-7852120030,8/8/14,4,3.5,3510,9263,2,0,0,3,10,3510,0,2001,0,98065,47.5413,-121.877,3690,10417,723000
-731500320,11/10/14,4,2.5,1785,2552,2,0,0,3,8,1785,0,2009,0,98030,47.3582,-122.2,1691,2700,282000
-6056100102,10/30/14,5,3.25,2360,3873,2,0,0,3,8,1990,370,2006,0,98108,47.5635,-122.299,1720,3071,569900
-1823049179,1/21/15,4,2,2340,9716,1,0,0,3,7,2340,0,2009,0,98146,47.4842,-122.347,1180,13500,385000
-9268850030,7/7/14,3,2.25,1620,1075,3,0,0,3,8,1540,80,2009,0,98027,47.5405,-122.026,1620,1237,420000
-9831200159,8/6/14,3,3.25,3890,3452,2,0,0,3,12,2890,1000,2006,0,98102,47.626,-122.323,2860,2199,2250000
-8924100370,9/15/14,4,3.5,3590,5335,2,0,2,3,9,3140,450,2006,0,98115,47.6762,-122.267,2100,6250,1210000
-8669150700,12/8/14,4,3,1984,4460,2,0,0,3,7,1984,0,2012,0,98002,47.3532,-122.211,2095,3402,292000
-889000024,3/16/15,3,2.25,1640,1023,3,0,0,3,8,1640,0,2014,0,98105,47.6636,-122.319,1720,1960,645000
-9268850350,3/19/15,4,2,1350,942,3,0,0,3,7,1350,0,2008,0,98027,47.5394,-122.026,1390,942,304500
-2619950310,5/7/15,4,3.5,2730,5707,2,0,0,3,8,2000,730,2011,0,98019,47.7327,-121.965,2430,5899,489500
-7430200060,4/24/15,4,4,5610,11063,3,0,0,3,11,4750,860,2006,0,98074,47.65,-122.065,4560,11063,1580000
-5100400251,1/6/15,2,1,962,1992,2,0,0,3,7,962,0,2012,0,98115,47.6911,-122.313,1130,1992,390000
-2597490030,10/2/14,4,3.5,3040,4006,2,0,0,3,8,2350,690,2013,0,98029,47.5439,-122.011,2050,4000,815000
-3655500030,4/3/15,3,3.5,2540,10578,2,0,1,3,9,2010,530,2014,0,98006,47.547,-122.192,3240,9831,719000
-3751600784,4/3/15,4,2.5,2240,4800,2,0,0,3,8,2240,0,2014,0,98001,47.2911,-122.266,2240,5040,331210
-6781200013,5/7/14,3,1.5,1260,1270,2,0,0,3,7,1040,220,2005,0,98133,47.7111,-122.331,1260,1472,245000
-2619950060,9/9/14,5,4,3210,7200,2,0,0,3,8,2410,800,2011,0,98019,47.7329,-121.966,2750,7200,465000
-9523100731,9/30/14,3,2.5,1620,1171,3,0,4,3,8,1470,150,2008,0,98103,47.6681,-122.355,1620,1505,580000
-9272201318,4/14/15,3,2,1580,1972,2.5,0,2,3,8,1180,400,2007,0,98116,47.5903,-122.386,1500,1908,540000
-5676000004,11/18/14,3,2.5,1430,1250,3,0,0,3,7,1430,0,2007,0,98103,47.6904,-122.342,1360,1269,399000
-8091670070,8/4/14,4,2.5,1850,5388,2,0,0,3,8,1850,0,2009,0,98038,47.3494,-122.041,2140,5086,328000
-7853380570,5/11/15,4,2.5,3340,5314,2,0,0,3,10,3340,0,2010,0,98065,47.5167,-121.885,3220,5500,701000
-8091670200,10/22/14,3,2.75,2670,4800,2,0,0,3,8,2670,0,2014,0,98038,47.3483,-122.042,2340,5000,408000
-8084900160,2/12/15,5,4.25,4660,16200,2,0,2,3,11,4660,0,2005,0,98004,47.6326,-122.216,3340,16200,2640000
-1498300875,8/14/14,3,2.5,1550,930,2,0,0,3,8,1060,490,2006,0,98144,47.5857,-122.314,1550,1301,445000
-7853270200,10/21/14,4,2.5,3470,6651,2,0,0,3,9,3470,0,2005,0,98065,47.5426,-121.879,2730,6179,672500
-9211010320,7/9/14,3,2.5,3010,7014,2,0,0,3,8,3010,0,2009,0,98059,47.4949,-122.149,3030,6180,538000
-2867300160,9/4/14,5,3.5,3931,9497,2,0,0,3,10,2650,1281,2014,0,98023,47.3008,-122.386,3510,9497,450000
-3278605570,6/19/14,3,2.5,1800,2700,2,0,0,3,8,1800,0,2011,0,98126,47.5458,-122.369,1380,1200,362500
-4310702858,10/15/14,3,2.5,1570,1551,3,0,0,3,8,1570,0,2008,0,98103,47.6961,-122.341,1570,1705,414950
-2838000030,1/27/15,3,2.5,2230,3939,2,0,0,3,8,2230,0,2014,0,98133,47.73,-122.335,2230,4200,679950
-1673000240,11/12/14,4,2.5,2423,7292,2,0,0,3,8,2423,0,2005,0,98023,47.3227,-122.37,2495,7489,290000
-7899800791,10/23/14,3,2,1160,1174,2,0,0,3,7,790,370,2007,0,98106,47.5225,-122.357,1160,994,230000
-8682320160,2/20/15,2,2,1440,4666,1,0,0,3,8,1440,0,2010,0,98053,47.709,-122.019,1510,4595,439950
-8155870200,5/22/14,4,2.5,2052,3723,2,0,0,3,8,2052,0,2014,0,98003,47.2824,-122.295,2052,5250,349900
-2858600083,12/22/14,5,2.5,2780,9272,2,0,0,3,8,2780,0,2014,0,98126,47.5168,-122.378,1150,8460,550000
-2391601195,4/30/15,4,4.25,3720,5750,2,0,2,3,9,2960,760,2006,0,98116,47.5632,-122.399,2550,5750,1050000
-976000903,3/19/15,2,2.25,1460,1851,2,0,0,3,9,1180,280,2014,0,98119,47.6461,-122.362,1800,4269,655000
-7904700128,11/10/14,3,3.5,1370,1540,2,0,0,3,8,1100,270,2006,0,98116,47.5638,-122.388,1370,915,385000
-5609000311,4/10/15,6,4.5,3600,6110,2,0,0,3,9,2510,1090,2012,0,98118,47.5687,-122.291,1360,5800,729999
-1972201963,6/16/14,3,2.25,1420,1282,3,0,0,3,8,1420,0,2006,0,98103,47.6533,-122.346,1530,1280,523950
-9272201704,5/12/14,2,2.5,980,895,2,0,0,3,8,670,310,2009,0,98116,47.5874,-122.386,980,899,369000
-8648900060,5/5/14,3,2.5,1790,2700,2,0,0,3,8,1790,0,2010,0,98027,47.564,-122.093,1890,3078,509900
-3832050890,7/15/14,3,2.5,2010,5399,2,0,0,3,7,2010,0,2006,0,98042,47.3338,-122.052,2280,5141,282000
-255450340,8/27/14,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3696,-122.018,2370,4200,387865
-2172000890,11/20/14,4,2.5,2560,6238,2,0,0,3,8,2560,0,2007,0,98178,47.4899,-122.255,2560,6240,385000
-6127010320,6/9/14,3,2.5,1900,6224,2,0,0,3,7,1900,0,2005,0,98075,47.5941,-122.004,2260,5450,536000
-2810100023,6/25/14,2,2.25,1350,1493,2,0,0,3,8,1050,300,2007,0,98136,47.5421,-122.388,1250,1202,395000
-8011100125,11/17/14,4,2.75,2650,6717,2,0,0,3,10,2650,0,2014,0,98056,47.4947,-122.171,2740,7923,545000
-7852090390,4/13/15,4,2.5,3020,7035,2,0,4,3,9,3020,0,2001,0,98065,47.5344,-121.874,3020,6771,715000
-3630080070,7/10/14,3,2.5,1500,2255,2,0,0,3,7,1500,0,2005,0,98029,47.5538,-121.997,1440,2040,348000
-9126100765,8/1/14,3,1.75,1320,1014,3,0,0,3,9,1320,0,2015,0,98122,47.6047,-122.305,1380,1495,455000
-7853380510,6/3/14,4,2.75,3120,7644,2,0,0,3,10,3120,0,2010,0,98065,47.5156,-121.884,2980,6050,575000
-993000136,10/7/14,3,2.25,1540,1270,3,0,0,3,7,1540,0,2014,0,98103,47.6935,-122.341,1230,1454,449950
-3278604510,6/25/14,3,2.5,1800,2790,2,0,0,3,8,1800,0,2011,0,98126,47.5455,-122.371,1580,2036,364000
-2937300060,12/1/14,4,2.5,3640,6389,2,0,0,3,9,3640,0,2014,0,98052,47.7049,-122.123,3570,6303,932990
-9510860060,6/27/14,3,2.5,2440,4153,2,0,0,3,9,2440,0,2003,0,98052,47.665,-122.087,2030,4143,710000
-293070310,2/13/15,4,4,3970,7314,2,0,0,3,9,3970,0,2014,0,98074,47.6173,-122.056,3560,5258,949990
-255450400,7/31/14,3,2.5,2060,4200,2,0,0,3,8,2060,0,2014,0,98038,47.3706,-122.017,2370,4200,326989
-3845100140,7/8/14,3,2.5,2538,4600,2,0,0,3,8,2538,0,2013,0,98092,47.2584,-122.196,2570,4800,335606
-3758900075,5/7/14,5,4.5,4270,8076,2,0,0,3,11,3400,870,2007,0,98033,47.699,-122.206,4100,10631,1530000
-3395071610,11/26/14,3,2.5,1320,3150,2,0,0,3,7,1320,0,2005,0,98118,47.5328,-122.282,1390,1725,299950
-9477580030,10/14/14,4,2.75,3340,5700,2,0,0,3,11,3340,0,2013,0,98059,47.5059,-122.146,3340,6940,962000
-8138870060,8/13/14,2,2.5,1590,1679,2,0,0,3,8,1590,0,2012,0,98029,47.5449,-122.011,1590,1680,395825
-7237450030,10/14/14,5,2.75,2710,4500,2,0,0,3,8,2710,0,2014,0,98038,47.3547,-122.062,2710,4626,419354
-3767300041,8/26/14,4,2.75,3140,7258,2,0,1,3,10,3140,0,2006,0,98034,47.7064,-122.232,2990,13600,920000
-291310370,8/29/14,3,2.25,1445,1028,2,0,0,3,7,1300,145,2005,0,98027,47.5339,-122.067,1445,1377,366000
-7853361230,5/16/14,4,2.5,2430,5000,2,0,0,3,7,2430,0,2009,0,98065,47.515,-121.873,2430,5441,480000
-7904700126,11/20/14,3,3.25,1370,915,2,0,0,3,8,1100,270,2006,0,98116,47.5639,-122.388,1370,1146,388000
-8085400376,4/21/15,4,3.5,5050,9520,2,0,0,3,11,3610,1440,2007,0,98004,47.6364,-122.209,2430,9248,2320000
-9828702851,1/21/15,3,2.5,1860,1290,2,0,0,3,9,1240,620,2010,0,98122,47.6179,-122.301,1710,1525,730000
-8562710550,5/21/14,5,3.75,5330,6000,2,0,2,3,10,3570,1760,2006,0,98027,47.5401,-122.073,4420,5797,950000
-3278613210,7/28/14,3,3.25,1710,2171,2,0,0,3,7,1400,310,2014,0,98106,47.5434,-122.368,1380,1300,358990
-7694200340,10/16/14,4,2.5,2650,4120,2,0,0,3,8,2650,0,2014,0,98146,47.5019,-122.34,2030,3768,398651
-1839500055,11/14/14,4,2.5,2590,7891,2,0,0,3,9,2590,0,2006,0,98056,47.5055,-122.194,1400,7891,530000
-3448900320,7/23/14,4,2.5,2610,5562,2,0,0,3,9,2610,0,2013,0,98056,47.5137,-122.169,2720,7400,610360
-9267200226,5/2/14,3,2.5,1770,1235,3,0,0,3,8,1600,170,2007,0,98103,47.6965,-122.342,1680,1203,436110
-2895730070,6/20/14,4,2.75,3730,8014,2,0,0,3,10,3730,0,2012,0,98074,47.6036,-122.059,3670,8279,925000
-2970800105,3/13/15,4,2.5,2420,5244,2,0,0,3,9,2420,0,2007,0,98166,47.4729,-122.35,1400,5250,449950
-325059277,5/27/14,4,2.5,3330,7399,2,0,0,3,9,3330,0,2009,0,98052,47.679,-122.153,2640,8601,760000
-6817750140,7/8/14,3,2.25,1910,3481,2,0,0,3,8,1910,0,2009,0,98055,47.4293,-122.188,1714,3177,293000
-8682320640,2/12/15,2,2.5,2170,7665,1,0,2,3,8,2170,0,2013,0,98053,47.7112,-122.019,2300,7100,695000
-8669180390,6/4/14,3,2.5,2437,5136,2,0,0,3,7,2437,0,2011,0,98002,47.3517,-122.21,2437,4614,285000
-4233600260,12/30/14,5,4,4180,12042,2,0,0,3,10,4180,0,2014,0,98075,47.5959,-122.014,1800,6052,1260000
-3278611600,7/14/14,3,2.5,1800,2791,2,0,0,3,8,1800,0,2011,0,98126,47.5442,-122.371,1580,2617,379900
-7787920160,4/27/15,5,2.5,2570,7412,2,0,0,3,8,2570,0,2006,0,98019,47.7265,-121.957,2890,8056,472000
-2517101200,7/7/14,4,2.5,2090,5195,2,0,0,3,7,2090,0,2007,0,98031,47.3986,-122.166,2090,5236,300000
-6181420200,11/20/14,4,2.5,2789,3960,2,0,0,3,7,2789,0,2007,0,98001,47.3059,-122.28,2547,3960,272000
-3845100550,11/20/14,4,2.5,2906,5893,2,0,0,3,9,2906,0,2014,0,98092,47.2599,-122.192,2680,4950,418395
-7853321180,12/22/14,5,2.5,2550,6405,2,0,0,3,7,2550,0,2008,0,98065,47.5191,-121.869,2190,5900,465000
-7502800030,7/16/14,4,2.75,3550,9400,2,0,0,3,9,3550,0,2014,0,98059,47.4827,-122.131,3550,9421,659950
-3869900139,1/7/15,3,2.25,1590,926,3,0,0,3,8,1590,0,2014,0,98136,47.5402,-122.387,1640,1321,484950
-1332700200,4/26/15,3,2.25,1950,1968,2,0,0,4,7,1160,790,1979,0,98056,47.5179,-122.195,1950,1968,359000
-9211010260,6/17/14,4,2.5,3250,4500,2,0,0,3,8,3250,0,2009,0,98059,47.4944,-122.149,3030,4518,519000
-4100500070,5/27/14,5,4.5,4590,14685,2,0,0,3,10,4590,0,2009,0,98033,47.664,-122.2,3030,9486,1710000
-7708210070,6/17/14,4,2.75,3070,7201,2,0,0,3,9,3070,0,2006,0,98059,47.4897,-122.147,2880,8364,535000
-7853270520,4/9/15,4,3.25,3030,7644,2,0,0,3,8,2830,200,2006,0,98065,47.5457,-121.881,3400,6908,622950
-5126300060,8/11/14,3,2.5,2610,5845,2,0,0,3,8,2610,0,2005,0,98059,47.4821,-122.142,2810,5000,515000
-2517000260,5/22/14,4,3.5,3150,6202,2,0,0,3,7,3150,0,2005,0,98042,47.3993,-122.162,2950,5940,330000
-832700270,2/13/15,3,1.5,1240,983,3,0,0,3,8,1240,0,2009,0,98133,47.7235,-122.353,1240,1026,318000
-3022800260,10/7/14,3,2.5,1680,2801,2,0,0,3,7,1680,0,2011,0,98011,47.745,-122.181,1920,2723,439000
-254000241,3/24/15,3,2.5,2220,5279,2,0,0,3,8,2220,0,2006,0,98146,47.5132,-122.387,1610,5297,540000
-7237501370,7/17/14,4,3.25,4800,12727,2,0,0,3,10,4800,0,2011,0,98059,47.5311,-122.134,4750,13602,1080000
-662440030,3/26/15,4,2.5,3100,4699,2,0,0,3,9,3100,0,2010,0,98038,47.3785,-122.023,2450,5130,435000
-2524069078,1/22/15,4,4,7850,89651,2,0,0,3,12,7850,0,2006,0,98027,47.5406,-121.982,6210,95832,2700000
-8895800200,10/17/14,4,2.75,3590,5625,2,0,0,3,10,3590,0,2012,0,98052,47.6959,-122.133,3590,5625,1100000
-9268850160,2/6/15,4,2,1590,942,3,0,0,3,7,1590,0,2008,0,98027,47.54,-122.026,1390,942,293467
-7299600700,5/12/15,3,2.5,2242,4800,2,0,0,3,8,2242,0,2013,0,98092,47.2581,-122.2,2009,4800,328000
-291310340,7/8/14,3,3.5,2490,3582,2,0,0,3,8,1720,770,2005,0,98027,47.5338,-122.067,1445,1590,550000
-2768100510,4/2/15,3,2,1530,1442,3,0,0,3,9,1530,0,2015,0,98107,47.6692,-122.372,1620,1456,649000
-1776230060,7/8/14,4,2.5,2150,3143,2,0,0,3,7,2150,0,2010,0,98059,47.5048,-122.154,2640,3200,435000
-1772600510,6/20/14,3,2.5,2440,4800,2,0,0,3,10,2440,0,2014,0,98106,47.5595,-122.365,1180,5480,625000
-8024200677,4/29/15,3,1.5,1270,1483,3,0,0,3,8,1270,0,2007,0,98115,47.6987,-122.317,1270,1413,415000
-982850060,6/3/14,3,2.25,1450,4706,2,0,0,3,7,1450,0,2009,0,98028,47.761,-122.232,1490,4667,400000
-7518506715,5/6/14,3,2.5,2690,4047,3,0,0,3,10,2690,0,2014,0,98117,47.6797,-122.385,2040,5000,979000
-7202280390,2/20/15,4,2.5,2755,4831,2,0,0,3,7,2755,0,2003,0,98053,47.685,-122.039,2510,4831,625250
-710600160,9/9/14,4,3.5,2650,3474,2,0,0,3,8,2230,420,2011,0,98027,47.5377,-122.046,2330,3474,665000
-952005525,6/27/14,3,3.25,2310,3075,2,0,0,3,8,1730,580,2005,0,98116,47.5644,-122.383,2310,3075,589500
-2487700274,3/9/15,2,3,1460,1452,2,0,0,3,8,1140,320,2007,0,98136,47.5224,-122.39,1460,1452,437000
-3449000060,10/1/14,3,1,1400,9000,1,0,0,5,7,1400,0,1959,0,98059,47.5022,-122.145,1440,8400,320000
-7830800473,1/14/15,3,2.5,2196,7475,2,0,0,3,8,2196,0,2006,0,98030,47.3803,-122.204,1860,6755,333500
-6056100370,11/24/14,3,2.25,2020,2750,2,0,0,3,8,1680,340,2008,0,98108,47.5633,-122.297,1720,1546,430000
-2126059295,8/5/14,5,4.5,4280,8465,2,0,0,3,10,4280,0,2014,0,98034,47.7325,-122.165,2990,11067,995500
-1442880340,6/3/14,3,3,2340,5002,2,0,0,3,8,2340,0,2013,0,98045,47.4831,-121.773,2790,5375,427874
-7694200070,5/21/14,4,2.5,2220,4228,2,0,0,3,8,2220,0,2014,0,98146,47.5014,-122.341,2220,4157,334990
-8562710640,2/11/15,4,4,4420,5940,2,0,0,3,10,3410,1010,2006,0,98027,47.5397,-122.072,4510,5797,909500
-3832050860,3/19/15,3,2,1580,4961,2,0,0,3,7,1580,0,2006,0,98042,47.3338,-122.053,2280,5000,210000
-2526059225,1/23/15,4,2.75,3550,6558,2,0,0,3,9,3550,0,2013,0,98052,47.7076,-122.115,3140,5617,952990
-1972200139,2/18/15,2,1.75,1510,851,3,0,0,3,8,1420,90,2013,0,98107,47.6536,-122.358,1300,1338,622500
-2768100186,6/18/14,3,3.5,1360,1419,2,0,0,3,8,1040,320,2007,0,98107,47.6697,-122.371,1560,1977,515000
-6791400070,1/26/15,3,2.5,2040,13590,2,0,0,3,8,2040,0,2009,0,98042,47.3122,-122.04,1850,12485,350000
-424049284,10/16/14,1,1.5,1120,912,3,0,0,3,7,1120,0,2011,0,98144,47.5924,-122.299,1380,3200,310000
-7853280550,5/28/14,4,3.5,4490,5099,2,0,0,3,9,3390,1100,2006,0,98065,47.5394,-121.861,4290,5537,700000
-7768800270,7/15/14,4,2.5,3560,6786,2,0,0,3,9,2930,630,2014,0,98075,47.5756,-122.071,3560,5886,907687
-8682320350,7/9/14,2,2.5,2150,5760,1,0,0,3,8,2150,0,2010,0,98053,47.7094,-122.018,1640,4680,741500
-1776460140,7/24/14,3,2.5,2130,5088,2,0,0,3,8,1840,290,2011,0,98019,47.7329,-121.976,2130,5762,395000
-5045700400,2/23/15,5,2.75,2990,6370,2,0,0,3,8,2990,0,2014,0,98059,47.4853,-122.154,2730,5740,559950
-3356402702,7/25/14,4,2.5,1847,8000,2,0,0,3,7,1847,0,2008,0,98001,47.2872,-122.257,1847,8000,215000
-2140950160,2/22/15,4,2.5,2610,7227,2,0,0,3,9,2610,0,2011,0,98010,47.314,-122.023,2630,7421,390000
-2621069017,3/3/15,3,2.25,1670,107157,1,0,0,3,7,1670,0,2007,0,98022,47.2743,-122.009,3310,108900,425000
-1422069070,5/7/15,3,2.5,1860,415126,2,0,0,3,7,1860,0,2006,0,98038,47.3974,-122.005,2070,54014,472000
-2579500181,4/7/15,4,3.5,3440,9776,2,0,0,3,10,3440,0,2006,0,98040,47.5374,-122.216,2400,11000,1330000
-7852120140,6/10/14,4,3.5,3510,9364,2,0,0,3,10,3510,0,2001,0,98065,47.54,-121.876,3510,9161,695000
-9274200324,1/20/15,3,2.5,1740,1279,3,0,0,3,8,1740,0,2008,0,98116,47.589,-122.387,1740,1280,545000
-422000075,7/11/14,4,2.5,2240,5500,2,0,0,3,8,2240,0,2013,0,98056,47.496,-122.169,700,5500,389950
-263000253,3/30/15,3,2.25,1550,1485,3,0,0,3,8,1550,0,2011,0,98103,47.6989,-122.346,1550,1480,380000
-9268850140,11/17/14,4,2,1390,745,3,0,0,3,7,1390,0,2008,0,98027,47.5401,-122.026,1390,942,288790
-9306500200,4/1/15,3,3,2500,6000,2,0,0,3,8,2500,0,2012,0,98058,47.4408,-122.161,2130,6000,432500
-8562770350,12/6/14,3,3.5,2710,3326,2,0,0,3,8,1650,1060,2005,0,98027,47.5371,-122.073,2280,2738,615000
-2026049326,7/7/14,3,2.5,1720,3012,2,0,0,3,9,1720,0,2011,0,98133,47.7312,-122.334,1720,7658,500000
-9126101090,5/31/14,3,2.25,1760,1146,3,0,0,3,9,1760,0,2014,0,98122,47.6073,-122.304,1346,3472,615000
-2888000030,9/26/14,4,2.25,2270,8196,1,0,0,5,7,1150,1120,1963,0,98034,47.7214,-122.227,1920,10122,500000
-8032700075,10/15/14,3,3.5,1690,1765,2,0,0,3,8,1370,320,2006,0,98103,47.6536,-122.34,1690,1694,622000
-7853440140,4/9/15,5,3.5,4000,9234,2,0,0,3,9,4000,0,2015,0,98024,47.5265,-121.887,3690,6600,802945
-1245003330,7/31/14,4,2.5,2880,9003,2,0,0,3,10,2880,0,2008,0,98033,47.6844,-122.199,2640,8126,1260000
-1176001124,2/24/15,3,2.5,1480,1531,3,0,0,3,8,1480,0,2014,0,98107,47.669,-122.402,1530,1321,598950
-7853360990,1/2/15,3,2.5,1950,4949,2,0,0,3,7,1950,0,2009,0,98065,47.5155,-121.87,2200,5740,430000
-7853320030,11/24/14,4,2.75,2700,5150,2,0,0,3,9,2700,0,2009,0,98065,47.5209,-121.874,2700,5747,515000
-7576200012,7/17/14,2,3,2210,3917,2,0,0,3,10,1500,710,2008,0,98122,47.6166,-122.291,1720,3933,1260000
-7207900030,6/9/14,4,3.5,2370,3692,2.5,0,0,3,8,2370,0,2013,0,98056,47.5044,-122.17,2520,5425,400000
-952006827,4/22/15,3,2.5,1310,1254,2,0,0,3,7,850,460,2007,0,98116,47.5622,-122.384,1310,1372,390000
-7853321090,10/1/14,3,2.5,2410,4293,2,0,0,3,7,2410,0,2007,0,98065,47.5196,-121.869,2190,5900,450000
-1042700060,5/16/14,5,1.5,3360,5402,2,0,0,3,9,3360,0,2014,0,98074,47.6067,-122.053,3360,5415,804995
-2597490140,3/26/15,4,3.25,3040,4155,2,0,0,3,8,2350,690,2013,0,98029,47.5429,-122.012,2680,4000,825000
-7852130800,5/13/14,4,2.25,2140,6355,2,0,0,3,7,2140,0,2002,0,98065,47.5367,-121.88,2480,5746,435000
-7625702967,6/9/14,3,2.5,1720,1715,2,0,0,3,7,1240,480,2004,0,98136,47.5481,-122.384,1610,1626,398000
-3845100640,6/5/14,4,2.5,2658,3960,2,0,0,3,9,2658,0,2014,0,98092,47.2603,-122.194,2578,4200,411605
-1773100922,12/8/14,3,3.25,1480,983,2,0,0,3,8,1180,300,2013,0,98106,47.5555,-122.363,1330,1062,315000
-2770602493,11/20/14,2,2,1350,1209,3,0,0,3,8,1350,0,2013,0,98199,47.649,-122.383,1310,982,455000
-475000187,5/1/15,3,2.5,1150,1194,2,0,0,3,8,1020,130,2006,0,98107,47.6684,-122.365,1450,1714,452950
-6056100383,5/20/14,3,1.75,1690,1468,2,0,0,3,8,1380,310,2008,0,98108,47.563,-122.297,1690,1936,380000
-6056111370,11/24/14,2,1.75,1270,1916,2,0,0,3,8,1270,0,2012,0,98108,47.5648,-122.294,1140,1916,340000
-9578500510,11/3/14,3,2.5,2655,5080,2,0,0,3,8,2655,0,2013,0,98023,47.2972,-122.348,2879,5232,409950
-9828701488,5/4/15,2,1,880,1165,2,0,0,3,8,880,0,2005,0,98122,47.6192,-122.297,1640,3825,360000
-6600000217,4/3/15,4,4.25,4645,7757,2,0,0,3,10,3855,790,2006,0,98112,47.6248,-122.29,2150,6970,1600000
-8024200685,5/20/14,3,1.5,1270,1443,3,0,0,3,8,1270,0,2007,0,98115,47.699,-122.317,1270,1413,440000
-2923039264,9/10/14,2,1.75,1728,95950,1,0,3,3,9,1728,0,2012,0,98070,47.4579,-122.443,1720,35735,730000
-8073900070,5/22/14,3,2.25,1950,7221,1,0,0,4,8,1950,0,2006,0,98188,47.431,-122.285,2310,8125,408000
-2419700030,8/25/14,4,2.5,3170,3862,3,0,0,3,8,3170,0,2008,0,98034,47.6705,-122.145,2840,4181,820000
-9396700024,7/31/14,2,2.5,1233,1244,2,0,0,3,7,963,270,2007,0,98136,47.5533,-122.381,1230,1300,360000
-3845100160,6/20/14,3,2.5,2570,4600,2,0,0,3,8,2570,0,2014,0,98092,47.2582,-122.196,2570,5000,339990
-9126100814,10/8/14,3,2,1560,1020,3,0,0,3,8,1560,0,2014,0,98122,47.605,-122.304,1560,1728,515000
-1982201595,1/21/15,3,1.75,1630,1166,2,0,0,3,8,1020,610,2013,0,98107,47.6646,-122.367,1420,1670,541000
-8151600973,4/6/15,4,2.5,2510,7245,2,0,0,3,9,2510,0,2007,0,98146,47.5096,-122.363,1830,8900,375000
-2722059322,10/20/14,4,2.5,2223,5780,2,0,0,3,8,2223,0,2010,0,98042,47.3586,-122.157,1690,7766,320000
-8562780090,2/27/15,2,2.25,1230,1058,2,0,0,3,7,1160,70,2008,0,98027,47.5325,-122.073,1240,817,325000
-3346300356,3/18/15,5,2.75,3050,7520,2,0,0,3,8,3050,0,2014,0,98056,47.5245,-122.184,2180,10800,740000
-7237450600,10/30/14,5,2.75,2710,6220,2,0,0,3,8,2710,0,2014,0,98038,47.3555,-122.061,2530,4759,450000
-8944550100,7/23/14,4,2.5,2090,4400,2,0,0,3,8,2090,0,2011,0,98118,47.5403,-122.286,2090,3430,455000
-3438502437,2/3/15,3,2.5,1440,1068,2,0,0,3,8,1160,280,2006,0,98106,47.5393,-122.361,1580,1483,292500
-2423069039,8/6/14,3,2.5,2500,51836,1,0,0,3,9,1510,990,2013,0,98027,47.4694,-121.989,2270,54450,650000
-8011100047,3/6/15,4,2.75,2740,7872,2,0,0,3,10,2740,0,2015,0,98056,47.4954,-122.172,1220,6300,530000
-1042700300,8/4/14,5,3.25,3360,6120,2,0,0,3,9,3360,0,2014,0,98074,47.607,-122.053,3230,5398,829995
-1776460110,12/23/14,4,2.75,2280,5013,2,0,0,3,8,2280,0,2009,0,98019,47.7333,-121.976,2130,5121,395000
-293070090,7/11/14,4,2.75,3520,5500,2,0,0,3,9,3520,0,2014,0,98074,47.6181,-122.056,3340,5500,859990
-7548301044,7/10/14,2,1.5,1320,826,2,0,0,3,8,1100,220,2008,0,98144,47.5879,-122.304,1340,1213,342500
-7203160090,12/5/14,4,2.75,3410,5838,2,0,0,3,9,3410,0,2012,0,98053,47.6931,-122.022,3420,7048,743000
-8096800110,12/15/14,3,2.25,2730,9388,1,0,0,3,7,1390,1340,1975,0,98030,47.3785,-122.185,2255,5701,345000
-3278600900,12/31/14,3,2.5,1780,2778,2,0,0,3,8,1530,250,2007,0,98126,47.5487,-122.372,1380,1998,443000
-4051150100,9/29/14,3,2.5,1427,4337,2,0,0,3,7,1427,0,2009,0,98042,47.3857,-122.162,1443,4347,260000
-925059311,7/22/14,4,2.5,2910,6555,2,0,0,3,9,2910,0,2005,0,98033,47.6659,-122.172,2910,10419,810000
-4305600100,12/22/14,4,2.75,3250,5600,2,0,0,3,8,3250,0,2011,0,98059,47.4806,-122.125,2730,5667,570000
-2311400195,3/3/15,5,3.5,3630,8100,2,0,0,3,10,3630,0,2008,0,98004,47.5951,-122.2,1730,8246,1560000
-1732800194,11/13/14,2,2.5,1680,975,3,0,0,3,9,1680,0,2009,0,98119,47.6321,-122.361,1680,977,840000
-5015001452,4/14/15,3,2.5,2280,2296,3,0,0,3,9,1890,390,2013,0,98112,47.6256,-122.299,1390,4000,950000
-7853430690,1/27/15,3,2.5,3310,4682,2,0,0,3,9,2380,930,2015,0,98065,47.5201,-121.885,2660,5166,572800
-3821700038,10/1/14,3,3,1290,1112,3,0,0,3,7,1290,0,2008,0,98125,47.7282,-122.296,1230,9000,305000
-5078400215,7/30/14,5,4.75,3940,7067,2,0,0,3,10,3230,710,2008,0,98004,47.6232,-122.205,1910,7735,1700000
-1773100315,8/27/14,4,2.5,2170,6000,2,0,0,3,7,1630,540,2008,0,98106,47.5589,-122.365,1720,5668,445000
-2224069165,9/2/14,4,3.5,3290,8059,2,0,0,3,9,3290,0,2012,0,98029,47.5573,-122.02,3290,10758,801000
-9510861140,7/14/14,3,2.5,2550,5376,2,0,0,3,9,2550,0,2004,0,98052,47.6647,-122.083,2250,4050,711000
-3277801431,8/27/14,3,2.25,1140,977,2,0,0,3,7,850,290,2008,0,98126,47.5439,-122.375,1140,976,268500
-1760650750,10/6/14,4,2.5,2300,3825,2,0,0,3,7,2300,0,2012,0,98042,47.3594,-122.082,2110,3825,320000
-1607100038,9/21/14,4,3.25,2670,5001,1,0,0,3,9,1640,1030,2013,0,98108,47.5666,-122.293,1610,5001,500000
-1862400176,5/5/14,4,2.5,2440,6651,2,0,0,3,9,2440,0,2014,0,98117,47.6971,-122.371,1350,7653,631625
-5457801833,1/27/15,2,2.5,1611,2210,2,0,2,3,10,1611,0,2005,0,98109,47.6291,-122.347,2070,2182,850000
-8562770110,10/27/14,3,3.5,2710,3290,2,0,0,3,8,1650,1060,2006,0,98027,47.5367,-122.072,2440,3290,600000
-2623039019,5/8/14,3,2.75,2015,16807,2,1,4,3,9,2015,0,2007,0,98166,47.45,-122.377,1780,12310,988500
-9578500690,3/27/15,4,3.25,3444,5166,2,0,0,3,8,2714,730,2014,0,98023,47.2966,-122.348,2848,5182,430236
-711000110,9/15/14,3,2.5,3060,9576,2,0,0,3,10,3060,0,2005,0,98004,47.5928,-122.199,3060,9579,1270000
-2597490750,4/28/15,4,2.5,2050,2772,2,0,0,3,8,2050,0,2013,0,98029,47.5431,-122.011,1800,2886,689500
-6056100165,12/1/14,3,1.5,1390,1882,2,0,0,3,7,1390,0,2014,0,98108,47.5667,-122.297,1490,2175,175003
-2767603824,9/15/14,2,2.5,1240,1249,3,0,0,3,8,1240,0,2006,0,98107,47.6718,-122.386,1240,2500,459000
-7237550110,4/24/15,4,3.25,3750,74052,2,0,0,3,10,3750,0,2013,0,98053,47.658,-122.006,4920,74052,1180000
-2325300037,9/2/14,3,3.25,1410,1442,3,0,0,3,8,1360,50,2006,0,98125,47.7183,-122.317,1500,1200,358000
-1085623710,7/14/14,4,2.5,2448,4949,2,0,0,3,9,2448,0,2014,0,98030,47.3428,-122.179,2815,5446,447055
-774100475,6/27/14,3,2.75,2600,64626,1.5,0,0,3,8,2600,0,2009,0,98014,47.7185,-121.405,1740,64626,415000
-1489300215,10/13/14,4,3.25,3330,9000,2,0,0,3,9,2870,460,2004,0,98033,47.6836,-122.208,2550,6349,1210000
-9828702902,10/21/14,2,2.25,1160,1010,2,0,0,3,8,1000,160,2006,0,98112,47.6207,-122.301,1200,1170,495000
-6371000100,11/20/14,2,2.25,1330,1380,2,0,0,3,8,1060,270,2005,0,98116,47.577,-122.41,1580,4802,479000
-2025069140,3/17/15,3,2.5,2830,4334,3,1,4,3,10,2830,0,2006,0,98074,47.6318,-122.071,2830,38211,1900000
-2781280300,10/16/14,3,2.5,1610,3517,2,0,0,3,8,1610,0,2005,0,98055,47.4496,-122.189,1830,2889,249900
-9551201240,10/30/14,4,2.5,2800,4000,2,0,0,3,9,2800,0,2011,0,98103,47.6695,-122.339,1770,4200,1470000
-2726059144,4/10/15,5,3.75,4570,10194,2,0,0,3,11,4570,0,2006,0,98034,47.718,-122.161,2040,7560,1040000
-5363200100,10/20/14,4,2.5,2820,6120,2,0,0,3,9,2820,0,2014,0,98115,47.6911,-122.293,1510,6120,897000
-1725059330,3/27/15,4,2.5,2570,9470,2,0,0,3,9,2570,0,2006,0,98033,47.6548,-122.19,2570,10663,1100000
-7234601140,11/13/14,3,2.25,1710,1193,2,0,0,3,9,1140,570,2014,0,98122,47.6173,-122.31,1510,1193,685000
-3057000300,9/30/14,3,1.5,1220,3286,2,0,0,3,7,1220,0,1982,0,98033,47.7168,-122.189,1220,2640,295000
-1972200553,8/4/14,3,2.25,1650,946,3,0,0,3,8,1650,0,2014,0,98103,47.6536,-122.354,1570,1283,619000
-6371000148,11/25/14,2,1.5,1130,1340,2,0,0,3,8,910,220,2008,0,98116,47.5761,-122.41,1310,1340,439108
-301400850,2/20/15,3,2.25,1489,2800,2,0,0,3,7,1489,0,2011,0,98002,47.3452,-122.215,1584,3200,260000
-1123049232,6/6/14,5,2.5,2690,5557,2,0,0,3,7,2690,0,2012,0,98178,47.4914,-122.253,2090,10500,279000
-3654200037,3/30/15,3,2.25,1530,1305,2,0,0,3,7,1116,414,2007,0,98177,47.7034,-122.357,1320,1427,380000
-7299601790,11/7/14,3,2.5,1600,6315,2,0,0,3,8,1600,0,2013,0,98092,47.2611,-122.198,1608,4300,287000
-2771101921,12/11/14,2,1.5,1000,1251,2,0,0,3,7,930,70,2006,0,98199,47.6529,-122.384,1420,1187,377000
-3566800485,2/23/15,4,3.5,2440,3012,3,0,1,3,8,2440,0,2005,0,98117,47.6923,-122.392,1860,4650,649950
-2767601311,10/24/14,3,2.5,1260,1102,3,0,0,3,8,1260,0,2007,0,98107,47.675,-122.387,1320,2500,445000
-9137101696,5/4/15,3,2.5,1660,1692,3,0,0,3,7,1610,50,2005,0,98115,47.6801,-122.322,1210,1230,605000
-9528104345,9/23/14,3,2.25,1190,1137,2,0,0,3,7,960,230,1999,0,98115,47.677,-122.325,1190,1080,475000
-3753000100,8/28/14,3,3,1520,1884,3,0,0,3,8,1520,0,2009,0,98125,47.7176,-122.284,1360,1939,399000
-6798100690,4/20/15,5,2.75,3250,8100,2,0,0,3,8,3250,0,2014,0,98125,47.7133,-122.311,1270,8100,718000
-148000475,5/28/14,4,3.25,4700,9160,1,0,4,3,11,2520,2180,2005,0,98116,47.5744,-122.406,2240,8700,1400000
-3277801417,5/16/14,3,2.5,1480,1663,2,0,0,3,9,1180,300,2012,0,98126,47.5443,-122.375,1380,1537,341000
-8682320090,5/19/14,2,2.5,2380,9374,1,0,2,3,8,2380,0,2011,0,98053,47.7095,-122.019,1610,5000,818000
-9828701507,12/2/14,3,2.25,1640,1873,3,0,0,3,8,1640,0,2014,0,98112,47.6196,-122.297,1640,3920,759000
-3362400432,6/11/14,3,3.5,1650,2262,3,0,0,3,8,1650,0,2010,0,98103,47.6823,-122.347,1620,3166,547500
-856000195,5/21/14,5,4.75,5305,8401,2,0,2,3,11,3745,1560,2005,0,98033,47.6864,-122.215,2960,7200,2700000
-9396700028,7/22/14,2,2.5,1278,987,2,0,0,3,7,1002,276,2007,0,98136,47.5532,-122.381,1220,1287,358000
-8850000018,10/1/14,3,2.5,1200,813,3,0,0,3,9,1200,0,2010,0,98144,47.5894,-122.315,1750,4365,412000
-9524100207,1/30/15,2,1.5,690,1058,2,0,0,3,7,690,0,2005,0,98103,47.6951,-122.343,690,1058,245000
-1085623350,10/7/14,4,2.5,3202,4964,2,0,0,3,9,3202,0,2014,0,98030,47.3412,-122.179,2425,4886,460940
-7663700973,5/22/14,3,2.25,1347,1292,3,0,0,3,7,1347,0,2010,0,98125,47.7306,-122.291,1480,1865,321000
-7853420100,6/23/14,4,3.5,2960,6000,2,0,0,3,9,2960,0,2014,0,98065,47.5183,-121.886,2960,6000,633634
-1025039168,9/23/14,1,0.75,740,1284,1,0,0,4,6,740,0,1928,0,98107,47.6741,-122.406,1430,3988,290000
-476000110,4/1/15,2,2.25,1200,1137,3,0,0,3,7,1200,0,2007,0,98107,47.6715,-122.392,1280,1295,445000
-2254100090,4/7/15,5,3.5,4320,7502,2,0,0,3,9,3500,820,2012,0,98056,47.5235,-122.168,3250,7538,887250
-8682320600,9/11/14,3,2.5,2310,7348,1,0,3,3,8,2310,0,2010,0,98053,47.7116,-122.019,2310,7153,739000
-9834201366,12/16/14,3,2,1490,1286,3,0,0,3,8,1490,0,2014,0,98144,47.57,-122.288,1420,1230,429900
-7625702451,1/6/15,3,2,1480,800,2,0,0,3,8,1000,480,2014,0,98136,47.5492,-122.387,1480,886,459000
-301402120,6/25/14,3,2.25,1481,2820,2,0,0,3,7,1481,0,2012,0,98002,47.3457,-122.217,1481,3028,240000
-6382500076,9/10/14,3,3,1730,1902,3,0,0,3,8,1730,0,2014,0,98117,47.6944,-122.377,1830,1804,566950
-3758900259,5/7/14,4,3.5,3900,8391,2,0,0,3,10,3900,0,2006,0,98033,47.6979,-122.205,3820,12268,1040000
-3126049446,3/10/15,3,3.5,1130,1449,3,0,0,3,7,1130,0,2005,0,98103,47.6968,-122.348,1130,1200,343000
-3744000100,11/11/14,4,3.25,3230,4838,2,0,0,3,9,3230,0,2014,0,98038,47.3559,-122.023,2980,5094,572115
-9510860750,1/8/15,5,3.5,3920,5150,2,0,0,3,9,2820,1100,2004,0,98052,47.6638,-122.084,3170,5530,918000
-7228500037,5/5/15,2,1.5,1190,1361,2,0,0,3,8,1190,0,2007,0,98122,47.6161,-122.302,1280,3360,555000
-3814900750,7/16/14,4,2.5,2311,4396,2,0,0,3,9,2311,0,2014,0,98092,47.3276,-122.163,2458,4616,399440
-1294300038,7/11/14,3,2.5,1810,914,3,0,0,3,8,1380,430,2008,0,98116,47.5732,-122.387,1810,914,450000
-7853350090,6/4/14,4,2.5,3290,6203,2,0,0,3,9,3290,0,2008,0,98065,47.5441,-121.86,2990,6835,648000
-9211010900,6/18/14,4,2.5,3250,5000,2,0,0,3,8,3250,0,2008,0,98059,47.4988,-122.148,3230,5507,580000
-1085623250,3/31/15,4,2.5,2544,4071,2,0,0,3,9,2544,0,2013,0,98030,47.341,-122.179,2358,4179,415000
-2025049192,10/21/14,3,2.5,1380,1389,3,0,0,3,8,1380,0,2008,0,98102,47.6427,-122.327,1380,1249,527500
-7625703354,7/30/14,3,2.25,1430,800,2,0,0,3,8,1140,290,2011,0,98136,47.5477,-122.388,1430,1387,384000
-2051200436,8/20/14,3,2.5,3490,28213,1.5,0,2,3,9,2242,1248,2009,0,98070,47.365,-122.456,2120,56628,692000
-3880900236,8/22/14,2,1.5,910,966,2,0,0,3,8,820,90,2006,0,98119,47.627,-122.361,2740,6400,455000
-1646502355,4/3/15,4,3.25,3080,4120,2,0,0,3,9,2380,700,2014,0,98117,47.6845,-122.359,1410,4120,1280000
-2619950110,6/24/14,3,2.5,2280,6031,2,0,0,3,8,2280,0,2011,0,98019,47.7322,-121.966,2430,7200,415000
-1964700054,12/22/14,3,2.5,1660,1344,3,0,0,3,8,1660,0,2008,0,98102,47.644,-122.327,1750,2040,975000
-1926059039,10/6/14,4,2.5,3320,7429,2,0,0,3,9,3320,0,2014,0,98034,47.7189,-122.225,1840,7429,799950
-3438500037,4/5/15,5,4,1680,7268,1,0,0,3,8,1370,310,2008,0,98106,47.5571,-122.356,2040,8259,545000
-9578501110,10/3/14,4,3.5,2584,5005,2,0,0,3,8,2584,0,2014,0,98023,47.296,-122.35,2767,5201,429900
-8856004786,7/29/14,3,2.5,2217,8019,2,0,0,3,7,2217,0,2009,0,98001,47.2776,-122.251,1470,8037,275000
-7708200600,7/18/14,3,2.5,2480,4136,2,0,0,3,8,2480,0,2009,0,98059,47.493,-122.147,2510,4314,498000
-9492500090,5/27/14,3,2.5,2610,7256,2,0,0,3,9,2610,0,2014,0,98033,47.695,-122.18,2610,7206,754950
-8691440100,6/6/14,4,3,3240,5562,2,0,0,3,10,3240,0,2013,0,98075,47.5919,-121.975,3380,5562,895000
-7222000090,5/6/14,4,3.25,3569,8327,2,0,0,3,10,3569,0,2013,0,98055,47.4595,-122.208,2550,5251,580000
-3321049112,2/22/15,4,2.5,3181,5831,2,0,0,3,8,3181,0,2014,0,98003,47.2716,-122.297,2056,24393,379900
-2911000100,3/10/15,4,2.5,1921,4888,2,0,0,3,7,1921,0,2009,0,98001,47.2689,-122.24,1921,9140,245000
-3862710090,8/26/14,3,2.5,1570,4926,2,0,0,3,8,1570,0,2014,0,98065,47.5342,-121.842,1800,3202,417000
-8648900110,5/5/14,3,2.5,1940,3211,2,0,0,3,8,1940,0,2009,0,98027,47.5644,-122.093,1880,3078,555000
-8648900110,8/26/14,3,2.5,1940,3211,2,0,0,3,8,1940,0,2009,0,98027,47.5644,-122.093,1880,3078,555000
-6791400100,9/10/14,4,2.5,2210,13721,2,0,0,3,8,2210,0,2009,0,98042,47.3122,-122.039,1850,12951,353000
-2768301477,4/25/15,3,2.25,1280,1187,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,539000
-126039256,9/4/14,3,2,1520,5040,2,0,0,3,7,1520,0,1977,2006,98177,47.777,-122.362,1860,8710,434900
-8562780110,12/2/14,2,2.25,1230,1078,2,0,0,3,7,1160,70,2008,0,98027,47.5324,-122.073,1240,817,325000
-8032700110,4/9/15,3,2.5,1480,2159,3,0,0,3,8,1480,0,2007,0,98103,47.6533,-122.341,1480,1554,650000
-5635100090,2/25/15,4,2.5,2612,5850,2,0,0,3,8,2612,0,2014,0,98030,47.3751,-122.189,2419,8984,379950
-2597490300,11/19/14,3,2.5,2350,4975,2,0,0,3,8,2350,0,2012,0,98029,47.5418,-122.01,2350,3951,700000
-9301300805,12/15/14,3,2.5,1300,1590,2,0,0,3,8,1100,200,2014,0,98109,47.6384,-122.343,1070,1223,675000
-3449000300,6/9/14,4,1.5,2020,7560,1,0,0,4,7,2020,0,1960,0,98059,47.502,-122.146,1410,8080,379000
-8562770490,3/30/15,3,2.5,2140,2867,2,0,0,3,8,1960,180,2005,0,98027,47.5357,-122.073,2280,2836,571000
-3052700464,10/24/14,3,2.25,1380,1621,2,0,0,3,8,1140,240,2007,0,98117,47.678,-122.375,1460,1403,475000
-9276200569,5/9/14,4,3.5,2730,3047,2,0,0,3,8,2400,330,2006,0,98116,47.5797,-122.391,1980,4600,769900
-7853280490,12/22/14,4,3.5,4220,5817,2,0,0,3,9,2910,1310,2006,0,98065,47.5392,-121.862,4290,6637,633000
-2883200524,5/12/14,3,2.5,1570,1433,3,0,0,3,8,1570,0,2010,0,98103,47.6858,-122.336,1570,2652,635000
-3630200300,7/25/14,4,3.5,4670,6000,2,0,3,3,11,3820,850,2007,0,98027,47.5414,-121.994,4310,6000,1240000
-1383800015,1/8/15,3,2.25,1370,1007,3,0,0,3,8,1330,40,2009,0,98107,47.6682,-122.361,1570,1635,524000
-1441000090,11/26/14,4,3.5,3273,5115,2,0,0,3,8,2671,602,2014,0,98055,47.4477,-122.204,2996,5100,485000
-3760500407,5/21/14,3,4,3880,13095,2,0,3,3,11,3700,180,2009,0,98034,47.6996,-122.233,3880,10830,1030000
-9528101214,10/24/14,3,3.5,1494,1262,3,0,0,3,8,1494,0,2011,0,98115,47.6826,-122.324,1494,1264,650000
-2801910100,10/1/14,3,2.5,2930,5641,2,0,0,3,8,2930,0,2013,0,98052,47.71,-122.113,3300,5641,754842
-1085623640,9/24/14,4,2.5,2598,5553,2,0,0,3,9,2598,0,2014,0,98092,47.3412,-122.178,2502,4900,428900
-7299601460,6/23/14,3,2.5,2242,4995,2,0,0,3,8,2242,0,2011,0,98092,47.2595,-122.202,1798,4942,329900
-1070000110,12/18/14,4,2.5,2830,5932,2,0,0,3,9,2830,0,2014,0,98199,47.6479,-122.408,2840,5593,1040000
-7853360820,9/9/14,4,2.5,2710,6937,2,0,0,3,7,2710,0,2009,0,98065,47.5153,-121.871,2380,5866,544999
-7436700090,5/29/14,4,2.75,2320,4344,2,0,0,3,8,2320,0,2012,0,98059,47.4862,-122.163,2310,3770,449950
-3034200399,1/13/15,4,2.5,2720,7991,2,0,0,3,9,2720,0,2006,0,98133,47.7168,-122.331,1590,8611,635000
-889000015,11/3/14,3,1.75,1650,1180,3,0,0,3,8,1650,0,2014,0,98105,47.6638,-122.319,1650,1960,599000
-2767704252,11/3/14,3,3.25,1430,1348,2,0,0,3,8,1160,270,2008,0,98107,47.6743,-122.374,1160,1265,478000
-2143700756,9/29/14,4,2.5,2090,5040,2,0,0,3,9,2090,0,2014,0,98055,47.4797,-122.23,1430,12000,388000
-8946780110,8/4/14,4,3.5,3660,4903,2,0,0,3,9,2760,900,2014,0,98034,47.7184,-122.156,3630,4992,809950
-6790830090,4/15/15,4,3.5,4220,8417,3,0,0,3,10,4220,0,2012,0,98075,47.5869,-122.054,3730,8435,1060000
-2768100512,4/22/15,2,2.5,1450,1213,2,0,0,3,9,1110,340,2015,0,98107,47.6692,-122.372,1620,1456,659000
-9477580110,6/26/14,4,3.75,3460,6738,2,0,0,3,11,3460,0,2013,0,98059,47.506,-122.145,3340,6120,971971
-7625702437,1/15/15,3,2.5,1350,874,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,389000
-5416510490,7/8/14,4,2.75,3000,5470,2,0,0,3,8,3000,0,2005,0,98038,47.3613,-122.038,2420,4891,355000
-1123059125,12/8/14,4,2.5,2950,10003,2,0,0,3,9,2950,0,2006,0,98059,47.489,-122.14,2790,9323,551500
-7237450110,7/1/14,4,2.5,2530,5048,2,0,0,3,8,2530,0,2014,0,98038,47.3559,-122.063,2530,4359,417838
-250000090,7/14/14,4,4.5,4650,7660,2,0,0,3,11,3640,1010,2008,0,98004,47.6349,-122.198,1710,8400,1750000
-2025049206,6/11/14,2,1,710,1131,2,0,0,4,7,710,0,1943,0,98102,47.6413,-122.329,1370,1173,399950
-5631500941,7/15/14,4,2.5,3050,8000,2,0,0,3,9,3050,0,2007,0,98028,47.7465,-122.231,1910,8000,740000
-8562780490,2/23/15,3,2.5,1150,683,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,755,335000
-3262300485,4/21/15,5,5.25,3410,8118,2,0,0,3,11,3410,0,2006,0,98039,47.6295,-122.236,3410,16236,2250000
-5693500846,4/20/15,3,1.75,1370,1921,3,0,0,3,8,1370,0,2007,0,98103,47.6595,-122.351,1370,4000,667000
-925059313,3/12/15,4,2.5,3540,7009,2,0,0,3,9,3540,0,2007,0,98033,47.6749,-122.176,2150,10290,920000
-2461900492,5/11/14,3,2.5,1370,1350,2,0,0,3,7,1010,360,2007,0,98136,47.5534,-122.382,1450,6000,368000
-6817750110,7/10/14,4,2.5,1714,3080,2,0,0,3,8,1714,0,2009,0,98055,47.429,-122.188,1714,3250,307000
-3574770100,1/16/15,4,2.75,3650,4534,2,0,0,3,7,2940,710,2014,0,98028,47.7397,-122.224,2400,7682,550000
-8564860110,1/13/15,4,2.5,2990,6037,2,0,0,3,9,2990,0,2013,0,98045,47.4766,-121.735,2990,5992,594491
-1085622460,9/29/14,4,2.5,3284,6516,2,0,0,3,8,3284,0,2014,0,98092,47.3393,-122.181,2555,5008,460458
-1777600850,6/24/14,4,2.25,3550,13900,1,0,0,3,8,1830,1720,2010,0,98006,47.5681,-122.127,2770,12200,859000
-9284801500,12/11/14,3,3,1860,2875,2,0,0,3,8,1710,150,2009,0,98126,47.5511,-122.373,1350,4830,399950
-7217400389,4/1/15,3,3.25,1720,1977,2,0,0,3,8,1360,360,2007,0,98122,47.6127,-122.299,1720,3420,547500
-3832051140,6/23/14,3,2.5,2540,4775,2,0,0,3,7,2540,0,2006,0,98042,47.3341,-122.052,2270,5000,310000
-925059137,6/2/14,4,2.75,3270,12880,2,0,0,3,9,3270,0,2014,0,98033,47.6679,-122.172,2420,7505,939000
-6021503706,10/14/14,2,2.5,980,1021,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,329900
-475000176,12/22/14,3,2.5,1150,1193,2,0,0,3,8,1020,130,2006,0,98107,47.6684,-122.365,1450,1640,436000
-1220000367,7/16/14,3,2.5,1820,1855,2,0,0,3,8,1570,250,2008,0,98166,47.4643,-122.346,1470,6900,320000
-3278605590,9/26/14,3,2.5,1580,3825,2,0,0,3,8,1580,0,2011,0,98126,47.5458,-122.369,1380,1500,375000
-7203140110,3/24/15,3,2,1460,3696,2,0,0,3,7,1460,0,2010,0,98053,47.6861,-122.013,1720,3631,392137
-3818400110,8/26/14,4,2.5,2900,4950,2,0,0,3,8,2900,0,2004,0,98028,47.7717,-122.236,2590,4950,520000
-7702080110,10/16/14,5,2.75,2620,6389,2,0,0,3,9,2620,0,2007,0,98028,47.77,-122.236,2620,4504,535000
-952002250,3/24/15,2,2.5,1340,999,2,0,0,3,8,940,400,2008,0,98116,47.5655,-122.386,1470,1436,407000
-9578500820,11/25/14,4,3.25,3266,5398,2,0,0,3,8,3266,0,2014,0,98023,47.2975,-122.35,3087,5152,424950
-3448000542,8/11/14,2,1.5,1076,1060,3,0,0,3,7,1076,0,2006,0,98125,47.7167,-122.298,1076,1060,290000
-9358000552,10/29/14,3,3.25,1680,1478,2,0,0,3,8,1360,320,2009,0,98126,47.5674,-122.369,1530,2753,399000
-2770601696,7/3/14,3,2.5,1930,1348,2,0,0,3,8,1300,630,2005,0,98199,47.6513,-122.384,1630,6000,439990
-9834201145,2/22/15,4,2.5,2880,3091,2,0,0,3,9,1940,940,2014,0,98144,47.5711,-122.286,1560,4080,635000
-3575305452,7/17/14,4,2.25,2240,5000,2,0,0,3,8,2240,0,2013,0,98074,47.6212,-122.058,1760,7500,635000
-6181500100,4/29/15,3,2.5,2594,4455,2,0,0,3,8,2594,0,2012,0,98001,47.3054,-122.276,2981,4950,351000
-2767604074,8/22/14,2,1.5,1210,1232,3,0,0,3,8,1210,0,2007,0,98107,47.6712,-122.39,1330,1174,437500
-2872100345,5/30/14,4,3.5,3760,5000,2,0,0,3,9,2860,900,2014,0,98117,47.6826,-122.394,1340,5000,919204
-2937300440,9/8/14,4,2.5,3600,6055,2,0,0,3,9,3600,0,2014,0,98052,47.7053,-122.126,3590,6050,923990
-2597490660,6/24/14,4,2.5,2050,2772,2,0,0,3,8,2050,0,2012,0,98029,47.5421,-122.011,2050,2934,639888
-3528900768,1/14/15,3,3.25,1510,2064,2,0,0,3,8,1220,290,2008,0,98109,47.6398,-122.345,1670,2594,675000
-3885802135,6/10/14,4,2.5,2580,3909,2,0,0,3,8,2580,0,2013,0,98033,47.6852,-122.21,1820,5772,899900
-3336500190,1/30/15,3,2.5,1670,4020,2,0,0,3,7,1670,0,2009,0,98118,47.53,-122.268,1670,4020,252000
-2425059174,3/17/15,4,2.5,3190,10034,2,0,0,3,9,3190,0,2007,0,98052,47.6379,-122.111,2110,9300,925000
-1890000170,10/29/14,3,2.5,1280,1920,3,0,0,3,8,1280,0,2009,0,98105,47.6621,-122.324,1450,1900,552000
-5137800130,4/7/15,4,2.5,2718,6197,2,0,0,3,8,2718,0,2006,0,98092,47.3255,-122.164,2667,5000,388500
-2767603753,8/29/14,2,2,1370,1878,3,0,0,3,8,1370,0,2004,0,98107,47.6721,-122.387,1280,1878,548000
-6181410950,9/22/14,3,2.5,1794,4769,2,0,0,3,7,1794,0,2005,0,98001,47.3052,-122.283,3557,4807,254950
-3226069049,12/8/14,4,4.5,5120,41327,2,0,0,3,10,3290,1830,2008,0,98053,47.7009,-122.059,3360,82764,1240000
-6056110430,9/30/14,3,2.5,2160,1912,2,0,0,3,9,1970,190,2014,0,98118,47.5642,-122.292,1810,2653,629000
-2916200091,3/3/15,4,2.5,2180,7204,2,0,0,3,8,2180,0,2014,0,98133,47.7221,-122.352,1500,7650,734000
-1773100980,6/18/14,3,2.25,1490,1294,2,0,0,3,7,1220,270,2010,0,98106,47.5569,-122.363,1490,1283,309000
-1123059126,7/3/14,3,2.5,2950,10254,2,0,0,3,9,2950,0,2006,0,98059,47.4888,-122.14,2800,9323,554950
-825079024,5/6/15,3,2.75,2990,207781,2,0,0,3,9,2990,0,2000,0,98014,47.662,-121.944,2590,218671,785000
-8029770470,6/5/14,4,2.5,2700,5150,2,0,0,3,9,2700,0,2007,0,98059,47.5071,-122.148,3160,7620,550000
-1563102965,8/11/14,4,3.5,3130,5000,3,0,0,3,10,3130,0,2014,0,98116,47.5656,-122.403,1950,5152,1010000
-5021900635,10/28/14,3,2,3620,14250,2,0,0,3,8,3220,400,2007,0,98040,47.5767,-122.225,2370,14250,1580000
-9264450460,6/3/14,5,2.75,2481,4045,2,0,0,3,8,2481,0,2014,0,98001,47.2602,-122.284,2363,4175,309000
-7694200430,6/25/14,3,2.5,1730,3600,2,0,0,3,8,1730,0,2014,0,98146,47.5019,-122.34,2030,3600,328423
-7548301041,6/23/14,3,1.5,1420,1192,2,0,0,3,8,1140,280,2008,0,98144,47.5881,-122.304,1340,1213,345000
-726059483,11/21/14,5,3.5,3160,5175,2,0,0,3,9,3160,0,2014,0,98011,47.755,-122.216,2100,9351,660000
-2771102144,5/2/14,3,3.25,1320,1327,2,0,0,3,8,1040,280,2008,0,98199,47.6506,-122.383,1440,1263,385000
-7011201476,3/18/15,2,2.25,1010,1107,2,0,0,3,8,710,300,2006,0,98119,47.6363,-122.371,1140,1531,459000
-53500020,1/14/15,3,2.5,1870,4046,2,0,0,3,7,1870,0,2007,0,98042,47.342,-122.059,2130,4800,248000
-8920100066,8/20/14,4,3.5,5220,15411,2,0,3,3,11,3550,1670,2006,0,98075,47.592,-122.085,3110,14124,1480000
-8091670020,8/1/14,4,2.5,2260,5824,2,0,0,3,8,2260,0,2011,0,98038,47.3496,-122.042,2240,5561,379000
-1176001310,3/4/15,5,4.5,4340,5722,3,0,4,3,10,4340,0,2010,0,98107,47.6715,-122.406,1770,5250,2950000
-3629960680,9/26/14,2,2.25,1620,1841,2,0,0,3,8,1540,80,2004,0,98029,47.5483,-122.004,1530,1831,395000
-8562770250,5/7/14,3,2.5,2280,2289,2,0,0,3,8,1880,400,2006,0,98027,47.5375,-122.073,2280,2425,535000
-1102000514,10/22/14,5,3.5,3400,9804,2,0,0,3,9,2550,850,2008,0,98118,47.543,-122.266,2380,7440,970000
-1773100275,2/1/15,2,1.5,830,1020,2,0,0,3,7,830,0,2006,0,98106,47.5604,-122.363,830,1379,205000
-321030010,10/15/14,4,2.5,2310,7384,2,0,0,3,8,2310,0,2010,0,98042,47.3737,-122.165,2310,7800,310000
-5393600509,7/2/14,2,1.5,830,1858,2,0,0,3,7,830,0,2005,0,98144,47.5828,-122.314,1480,3030,334500
-2895730280,8/28/14,5,3.25,4130,7197,2,0,0,3,10,4130,0,2012,0,98074,47.6022,-122.06,3730,7202,995000
-7967000130,4/1/15,4,3,2050,4000,2,0,0,3,8,2050,0,2014,0,98001,47.3525,-122.275,2050,4000,370228
-7570060290,3/4/15,4,2.5,2050,4953,2,0,0,3,9,2050,0,2014,0,98038,47.3448,-122.024,2340,6175,383000
-291310170,8/4/14,3,2.5,1600,2610,2,0,0,3,8,1600,0,2005,0,98027,47.5344,-122.068,1445,1288,384500
-923000425,7/18/14,5,2.5,3190,8160,2,0,0,3,9,3190,0,2014,0,98177,47.7246,-122.363,1650,8160,865000
-3630200780,5/22/14,4,3.75,3860,5474,2.5,0,0,3,10,3860,0,2007,0,98029,47.5396,-121.995,3040,5474,1050000
-9578060660,5/13/14,4,2.5,2040,5616,2,0,0,3,8,2040,0,2012,0,98028,47.7737,-122.238,2380,4737,502000
-250000010,9/24/14,4,3.5,3845,8400,2,0,0,3,10,3845,0,2013,0,98004,47.6354,-122.198,1710,8400,1750000
-1438000010,9/12/14,4,2.5,2650,6875,2,0,0,3,8,2650,0,2014,0,98059,47.479,-122.124,2650,5831,569995
-6626300095,5/19/14,4,2.5,3430,64441,2,0,0,3,8,3430,0,2013,0,98077,47.7694,-122.064,3580,64441,749950
-8562901100,12/30/14,3,2.5,2430,5400,2,0,0,3,8,2430,0,2007,0,98074,47.6062,-122.057,2640,11990,550000
-6979970080,5/13/14,3,3.5,2876,5086,2,0,0,3,8,2360,516,2007,0,98072,47.7511,-122.173,2390,4419,525000
-7853320470,6/11/14,4,3.5,2550,8698,2,0,0,3,7,2550,0,2007,0,98065,47.5216,-121.869,2430,5519,516000
-1424069056,8/5/14,4,3.75,4100,61419,2,0,0,3,9,4100,0,2014,0,98029,47.5626,-122.005,2010,32362,1350000
-3448740250,4/28/15,4,2.5,2730,4526,2,0,0,3,7,2730,0,2009,0,98059,47.491,-122.153,2190,4572,440000
-8129700728,4/14/15,3,2.5,1780,1729,2,0,0,3,8,1080,700,2008,0,98103,47.6594,-122.355,1780,1741,660000
-3832080440,12/9/14,3,2.5,1880,5000,2,0,0,3,7,1880,0,2010,0,98042,47.3359,-122.054,2260,5000,261950
-9512200050,8/27/14,5,3.75,3090,4943,2,0,0,3,10,3090,0,2010,0,98058,47.4594,-122.133,3191,5561,551000
-4027700014,2/25/15,3,3.5,2460,14155,2,0,0,3,8,1900,560,2014,0,98155,47.7743,-122.279,2440,14080,665000
-7853400250,6/4/14,4,3.5,2910,5260,2,0,0,3,9,2910,0,2012,0,98065,47.5168,-121.883,2910,5260,610000
-7853400250,2/19/15,4,3.5,2910,5260,2,0,0,3,9,2910,0,2012,0,98065,47.5168,-121.883,2910,5260,645000
-7853420480,6/18/14,3,1.75,1930,6360,1,0,0,3,9,1930,0,2013,0,98065,47.5181,-121.885,2770,6373,536751
-8943600020,4/26/15,3,2.25,1413,3403,2,0,0,3,8,1413,0,2009,0,98031,47.4196,-122.193,1763,3719,260000
-4221900305,1/21/15,3,3.25,4030,6300,2,0,0,3,10,3630,400,2006,0,98105,47.6664,-122.276,1660,6300,1310000
-1112630130,2/20/15,4,3.25,2880,5929,2.5,0,0,3,8,2880,0,2014,0,98023,47.2752,-122.349,2880,5846,429900
-123039376,8/20/14,4,2.75,2360,15100,1,0,0,3,8,2360,0,2014,0,98146,47.5117,-122.365,1440,13346,535000
-2767603962,4/14/15,2,1.75,1070,1276,3,0,0,3,8,1070,0,2006,0,98107,47.6719,-122.39,1290,2057,462550
-4083306552,3/10/15,3,3.25,1460,1367,3,0,0,3,8,1460,0,2008,0,98103,47.6485,-122.334,1310,1191,602000
-745500010,12/8/14,4,2.75,3800,9606,2,0,0,3,9,3800,0,2008,0,98011,47.7368,-122.208,3400,9677,730000
-7899800851,4/23/15,2,1.5,1190,801,3,0,0,3,8,1190,0,2010,0,98106,47.5212,-122.358,1190,810,300500
-7853350170,5/16/14,5,2.5,3200,6455,2,0,0,3,9,3200,0,2009,0,98065,47.5446,-121.862,3290,7924,675000
-6056100380,5/20/14,3,2.25,1970,2377,2,0,0,3,8,1680,290,2008,0,98108,47.5631,-122.297,1690,1936,415000
-626059127,11/17/14,3,2.5,2830,5831,2,0,0,3,9,2830,0,2010,0,98011,47.7744,-122.224,2830,6064,614000
-1459920190,12/4/14,4,2.5,2630,5701,2,0,0,3,7,2630,0,2010,0,98042,47.375,-122.16,2770,5939,385000
-3574750020,6/25/14,4,2.75,2720,4613,2,0,0,3,9,2720,0,2005,0,98028,47.7352,-122.223,2830,4836,594000
-2547200190,5/20/14,4,2.75,3160,8097,2,0,0,3,9,3160,0,2014,0,98033,47.6709,-122.166,2200,8097,860000
-9206500250,9/9/14,4,4,3770,8899,2,0,0,3,10,2940,830,2006,0,98074,47.6476,-122.079,3300,8308,1100000
-7202300480,10/24/14,4,2.75,3500,6226,2,0,0,3,9,3500,0,2004,0,98053,47.6846,-122.045,3480,7222,775000
-7237450190,8/6/14,5,2.75,2710,4685,2,0,0,3,8,2710,0,2014,0,98038,47.3555,-122.062,2710,4449,430760
-8682320420,4/27/15,2,2.5,2170,6361,1,0,2,3,8,2170,0,2009,0,98053,47.7109,-122.017,2310,7419,755000
-6003500743,5/19/14,2,2.25,1540,958,3,0,0,3,9,1540,0,2007,0,98122,47.6179,-122.318,1410,958,640000
-328000182,5/1/15,3,3.25,1876,1531,3,0,0,3,9,1876,0,2009,0,98115,47.6864,-122.265,1876,1533,613500
-821079102,10/17/14,4,3.5,3720,213073,1,0,2,3,10,3720,0,2007,0,98010,47.3216,-121.94,2190,59241,780000
-1622049242,3/4/15,4,2.5,3148,9612,2,0,3,3,9,3148,0,2014,0,98198,47.3994,-122.311,3000,11475,550000
-7203120050,10/8/14,4,3.25,3240,4852,2,0,0,3,9,3240,0,2010,0,98053,47.695,-122.022,3320,5318,789500
-7853360250,7/10/14,5,3.5,3340,5000,2,0,0,3,8,2580,760,2012,0,98065,47.5168,-121.871,3420,5000,592000
-1327600190,4/10/15,4,2.5,2413,5701,2,0,0,3,8,2413,0,2014,0,98042,47.3731,-122.159,2380,5725,454950
-4187000250,4/13/15,4,2.5,2500,4500,2,0,0,3,7,2500,0,2010,0,98059,47.4928,-122.149,2230,4500,475000
-2902201300,12/29/14,2,1.75,1180,904,2,0,0,3,10,780,400,2014,0,98102,47.6396,-122.329,1380,3610,659000
-1635500250,11/24/14,4,2.5,2890,5801,2,0,0,3,9,2890,0,2005,0,98028,47.7349,-122.238,2890,6286,570000
-6031400094,2/26/15,5,3,2230,6551,1,0,0,3,7,1330,900,2014,0,98168,47.487,-122.32,2230,9476,347500
-6601200250,4/2/15,4,2.5,1767,4500,2,0,0,3,8,1767,0,2006,0,98001,47.2607,-122.25,1949,4636,205000
-9358001403,9/3/14,3,3.25,1450,1468,2,0,0,3,8,1100,350,2009,0,98126,47.5664,-122.37,1450,1478,380000
-4216500020,10/3/14,5,2.75,2930,7663,2,0,0,3,9,2930,0,2013,0,98056,47.5308,-122.184,2750,10335,718000
-1438000440,7/24/14,5,2.75,2710,4136,2,0,0,3,8,2710,0,2014,0,98059,47.4786,-122.123,2590,4136,515805
-6061500130,7/14/14,4,3.25,3600,18645,2,0,1,3,10,3000,600,2013,0,98059,47.5294,-122.154,3970,10957,1030000
-3862710050,11/13/14,3,2.5,1800,3265,2,0,0,3,8,1800,0,2014,0,98065,47.5338,-121.841,1800,3663,437718
-7604400114,8/14/14,4,2.5,2290,5515,2,0,0,3,8,2290,0,2006,0,98106,47.5518,-122.357,1380,5515,450000
-9828702649,10/28/14,3,2.5,1510,1178,2,0,0,3,8,1060,450,2007,0,98122,47.6181,-122.301,1510,1210,515000
-2946003947,3/2/15,2,2.5,1090,13444,2,0,0,3,7,1090,0,2007,0,98198,47.4166,-122.319,1380,6000,204000
-993000307,5/23/14,3,2,1270,1323,3,0,0,3,8,1270,0,2006,0,98103,47.6934,-122.342,1330,1323,360000
-3362400094,12/3/14,3,2.25,1540,1005,3,0,0,3,8,1540,0,2008,0,98103,47.6827,-122.346,1510,1501,550000
-7853380480,5/29/14,3,2.5,2930,6050,2,0,0,3,9,2930,0,2008,0,98065,47.5151,-121.883,2760,5765,650880
-3893100462,2/25/15,5,3.75,4360,8504,2,0,4,3,10,3530,830,2014,0,98033,47.6936,-122.19,2680,9000,1790000
-2326600130,2/25/15,4,3.5,3640,4983,2,0,3,3,9,2790,850,2014,0,98075,47.5619,-122.027,3270,14700,895900
-3424069008,6/6/14,4,2.5,2430,4747,2,0,0,3,8,2430,0,2008,0,98027,47.5285,-122.031,1930,7200,585000
-3277801586,5/8/15,3,2.25,1520,1464,2,0,0,3,8,1240,280,2010,0,98126,47.543,-122.375,1710,1464,380000
-5045700250,11/18/14,5,2.75,2730,5820,2,0,0,3,8,2730,0,2014,0,98059,47.4856,-122.154,2730,5700,565997
-3278603000,5/4/15,3,3,2440,2076,2,0,0,3,8,1930,510,2006,0,98126,47.5476,-122.37,2440,2310,459000
-7548800050,4/21/15,3,3.75,1580,1303,2,0,0,3,8,1340,240,2010,0,98144,47.5875,-122.315,1560,1294,550000
-1972201964,7/25/14,3,2.25,1420,983,3,0,0,3,8,1420,0,2006,0,98103,47.6533,-122.346,1530,1280,500000
-3395070980,3/27/15,5,3.25,2820,3275,2,0,0,3,8,2230,590,2006,0,98118,47.5339,-122.284,2610,3275,461500
-5710000005,5/22/14,4,5.5,5060,10320,2,0,0,3,11,5060,0,2008,0,98004,47.6245,-122.21,3010,10080,2150000
-9319800050,4/21/15,4,2.5,2650,5000,2,0,0,3,8,2650,0,2007,0,98116,47.5605,-122.396,1110,6250,790000
-3303700221,6/27/14,3,2.25,1490,1212,2,0,0,3,9,1040,450,2011,0,98112,47.6226,-122.313,1490,1337,735000
-3304300080,3/30/15,4,2.5,3060,7710,2,0,0,3,9,3060,0,2009,0,98059,47.4828,-122.136,3040,7840,588000
-642800130,5/13/15,3,3.25,3240,4185,2,0,0,3,8,2770,470,2011,0,98075,47.5794,-122.03,2660,4692,724500
-6192410480,7/9/14,3,2.75,2820,5348,2,0,0,3,9,2820,0,2008,0,98052,47.7073,-122.118,3140,5640,749000
-6127000480,9/18/14,5,3.5,4140,7642,2,0,0,3,8,4140,0,2003,0,98075,47.591,-122.008,3330,6953,720000
-6145601599,6/11/14,2,1.5,982,846,2,0,0,3,8,806,176,2006,0,98133,47.7034,-122.345,1010,3844,250000
-3630200460,3/27/15,3,2.75,2460,3600,2,0,0,3,9,2460,0,2007,0,98029,47.5409,-121.994,2570,3600,790000
-3845101100,1/21/15,4,2.5,2547,4800,2,0,0,3,9,2547,0,2014,0,98092,47.2592,-122.194,2598,4800,392440
-6792200066,7/25/14,4,2.25,1834,7460,2,0,0,3,8,1834,0,2012,0,98042,47.3568,-122.163,1979,9008,280000
-5317100294,11/13/14,4,4.5,3130,5126,3,0,0,3,10,2450,680,2014,0,98112,47.6239,-122.29,2540,7784,1330000
-8150600250,12/17/14,4,2.5,2730,4847,2,0,0,3,9,2730,0,2008,0,98126,47.549,-122.374,1250,4840,649000
-9376301112,10/31/14,2,2.5,1380,1329,2,0,0,3,8,1050,330,2008,0,98117,47.6903,-122.37,1360,3750,457000
-856000635,3/23/15,4,4.25,4700,10800,2,0,1,3,11,3910,790,2002,0,98033,47.6882,-122.214,2370,7680,2230000
-9320350130,8/23/14,3,3,2330,4284,2,0,0,3,9,1920,410,2004,0,98108,47.5547,-122.308,2330,3709,453000
-7694200380,9/22/14,3,2.5,1730,3600,2,0,0,3,8,1730,0,2014,0,98146,47.5014,-122.34,2030,3600,329780
-635000009,11/12/14,2,2.5,2350,2390,3,0,2,3,10,2000,350,2007,0,98144,47.5999,-122.286,1950,2390,1050000
-7853440050,5/5/15,5,4.5,4000,6713,2,0,0,3,9,4000,0,2015,0,98024,47.5254,-121.886,3690,6600,771005
-8563010130,7/25/14,3,2.5,3350,7752,1,0,0,3,9,2180,1170,2009,0,98008,47.6263,-122.099,2570,7988,1300000
-2767604592,6/19/14,3,3.25,1530,1612,3,0,0,3,8,1530,0,2006,0,98107,47.6706,-122.378,1530,1611,607500
-1332700020,1/16/15,2,2.25,1610,1968,2,0,0,4,7,1610,0,1979,0,98056,47.5184,-122.196,1950,1968,278000
-1442870440,7/2/14,4,2.75,2620,6178,2,0,0,3,8,2620,0,2013,0,98045,47.4823,-121.771,2790,6538,475000
-5347200179,8/14/14,3,2,1300,1920,2,0,0,3,8,850,450,2006,0,98126,47.5183,-122.376,1300,1344,270000
-8924100372,4/23/15,4,3.5,3590,5334,2,0,2,3,9,3140,450,2006,0,98115,47.6763,-122.267,2100,6250,1300000
-6666830170,8/11/14,4,2.5,2490,5647,2,0,0,3,8,2490,0,2014,0,98052,47.7043,-122.114,2970,5450,778983
-3336000052,10/22/14,3,2.5,1320,1780,2,0,0,3,7,880,440,2005,0,98118,47.528,-122.269,3040,6000,221000
-2895800380,8/21/14,4,2.25,1800,2752,2,0,0,3,8,1800,0,2014,0,98106,47.5165,-122.346,1800,2752,338800
-1042700250,8/4/14,5,1.5,3360,5225,2,0,0,3,9,3360,0,2014,0,98074,47.6072,-122.053,3230,5368,834995
-7787920250,5/1/15,4,2.5,3220,9328,2,0,0,3,8,3220,0,2006,0,98019,47.7273,-121.958,3020,9300,550000
-3026059363,10/31/14,3,3.5,2514,1559,2,0,0,3,8,2024,490,2007,0,98034,47.7044,-122.209,2090,10454,575000
-3590000050,9/23/14,4,2.75,3130,9711,2,0,0,3,9,3130,0,2014,0,98059,47.4823,-122.124,1570,10500,649000
-7853361410,5/30/14,4,2.5,2720,4738,2,0,0,3,8,2720,0,2012,0,98065,47.515,-121.869,2590,5740,545000
-1355300009,11/20/14,2,2.25,1390,916,2,0,0,3,8,1165,225,2007,0,98122,47.6168,-122.314,1415,1488,625000
-8835800010,12/23/14,4,4.5,4920,270236,2,0,3,3,10,3820,1100,2006,0,98045,47.4695,-121.775,4920,260924,1040000
-9268851680,5/16/14,3,2.5,2134,1984,2.5,0,0,3,8,2134,0,2008,0,98027,47.5402,-122.027,2170,1984,611000
-8096800500,3/17/15,3,2.5,1741,5701,2,0,0,3,8,1741,0,2012,0,98030,47.379,-122.184,2002,5700,300000
-7202261060,12/29/14,3,2.5,2560,5238,2,0,0,3,8,2560,0,2001,0,98053,47.6887,-122.04,2560,5185,577000
-7237450130,10/20/14,4,2.5,2220,3561,2,0,0,3,8,2220,0,2014,0,98038,47.3561,-122.063,2530,4449,349990
-3630130010,7/14/14,3,2.5,1910,4363,2,0,0,3,9,1910,0,2006,0,98029,47.5482,-121.996,1890,3732,650000
-567000381,3/28/15,2,1.5,980,853,2,0,0,3,7,820,160,2009,0,98144,47.5925,-122.295,1130,1270,378000
-1760650290,2/5/15,3,2.5,1950,4197,2,0,0,3,7,1950,0,2013,0,98042,47.3613,-122.081,2300,4178,313200
-1024069215,9/12/14,5,4.25,4150,12015,2,0,0,3,10,4150,0,2014,0,98075,47.5816,-122.021,3230,27520,1210000
-1105000373,5/6/15,2,1.5,1110,986,2,0,0,3,7,950,160,2009,0,98118,47.5427,-122.272,1110,3515,252500
-1773100561,3/5/15,3,2.5,1250,1150,2,0,0,3,8,1080,170,2009,0,98106,47.5582,-122.363,1250,1150,308000
-9510860840,5/15/14,4,2.5,3310,5404,2,0,0,3,9,3310,0,2004,0,98052,47.6635,-122.083,2600,4730,803100
-4187000660,6/18/14,4,2.5,2020,5501,2,0,0,3,7,2020,0,2010,0,98059,47.4937,-122.15,2020,5494,415000
-7203120020,8/14/14,4,3.5,3310,4850,2,0,0,3,9,3310,0,2010,0,98053,47.6954,-122.022,3320,5955,785000
-8559300020,5/28/14,4,2.5,2798,4473,2,0,0,3,9,2798,0,2012,0,98055,47.4295,-122.205,2358,4593,499950
-3356402705,3/17/15,4,2.5,1847,8000,2,0,0,3,7,1847,0,2008,0,98001,47.2874,-122.257,1767,8000,216000
-662440020,2/26/15,4,2.5,2420,4981,2,0,0,3,9,2420,0,2009,0,98038,47.3785,-122.023,2420,5000,380000
-255370020,11/6/14,4,2.5,2020,3600,2,0,0,3,7,2020,0,2012,0,98038,47.3535,-122.017,2210,3800,345000
-293810190,11/4/14,4,2.5,2400,6811,2,0,0,3,8,2400,0,2007,0,98059,47.4959,-122.15,2710,5314,456500
-8091670190,11/4/14,3,2.5,1760,5390,1,0,0,3,8,1760,0,2014,0,98038,47.3482,-122.042,2310,5117,382495
-1760650280,3/6/15,4,2.5,2110,4178,2,0,0,3,7,2110,0,2013,0,98042,47.3612,-122.081,2300,4142,324950
-6306800010,8/11/14,4,2.5,2692,8392,2,0,0,3,9,2692,0,2014,0,98030,47.3519,-122.197,2574,14446,436472
-982850010,5/30/14,3,2.25,1490,4522,2,0,0,3,7,1490,0,2009,0,98028,47.7611,-122.233,1580,4667,365250
-6705600020,3/24/15,5,3.25,3960,6352,2,0,0,3,10,3960,0,2014,0,98075,47.5806,-122.055,2930,9875,919990
-9478550430,4/29/15,4,2.5,1740,4642,2,0,0,3,7,1740,0,2012,0,98042,47.3686,-122.117,1950,4642,316475
-5498100010,3/24/15,4,2.5,1940,4517,1,0,0,3,8,1190,750,2010,0,98028,47.776,-122.26,1910,10410,425000
-7625702901,3/11/15,2,1,970,3279,2,0,0,3,7,790,180,2007,0,98136,47.5469,-122.383,1150,1351,302860
-301401410,7/22/14,3,2.5,1852,4000,2,0,0,3,7,1852,0,2014,0,98002,47.3455,-122.21,2166,4000,298000
-251500080,8/26/14,4,4,4810,18851,2,0,3,3,11,4810,0,2007,0,98004,47.6364,-122.214,3970,19929,3200000
-521049227,12/1/14,4,4,5635,9695,2,0,3,3,10,4360,1275,2011,0,98003,47.3389,-122.334,3726,9765,950000
-100300500,11/21/14,3,2.5,1520,3041,2,0,0,3,7,1520,0,2009,0,98059,47.4874,-122.152,1820,3229,333000
-8669160460,3/5/15,3,2.5,2099,4275,2,0,0,3,7,2099,0,2010,0,98002,47.3521,-122.211,2099,4275,289950
-2810100007,5/6/15,3,2.25,1250,811,3,0,0,3,8,1250,0,2014,0,98136,47.5419,-122.388,1250,1232,419950
-6749700006,7/15/14,2,1.5,1090,1183,3,0,0,3,8,1090,0,2008,0,98103,47.6974,-122.349,1110,1384,306000
-1085623730,11/29/14,4,2.5,3216,5902,2,0,0,3,9,3216,0,2014,0,98030,47.3425,-122.179,2815,4916,498445
-6666830430,6/20/14,4,2.5,2970,4400,2,0,0,3,8,2970,0,2014,0,98052,47.705,-122.114,3010,4892,775950
-7852110380,7/3/14,3,2.5,2610,6405,2,0,0,3,8,2610,0,2001,0,98065,47.5373,-121.874,2580,6285,605000
-8080400177,9/9/14,2,1.75,1340,1368,2,0,0,3,7,1060,280,2006,0,98122,47.618,-122.311,2480,1707,520000
-293070010,10/28/14,4,2.75,3300,4987,2,0,0,3,9,3300,0,2014,0,98074,47.6175,-122.056,3520,5453,849990
-9144100007,6/4/14,3,2,1630,7599,1,0,0,3,10,1630,0,2006,0,98117,47.6981,-122.376,2030,7599,767450
-7234601142,8/8/14,3,2.25,1590,929,2,0,0,3,9,1060,530,2014,0,98122,47.6172,-122.31,1510,1193,665000
-1972200426,9/18/14,2,2.75,1310,1268,3.5,0,0,3,8,1310,0,2007,0,98103,47.6534,-122.355,1350,1288,525000
-7768800280,7/22/14,4,3.5,3600,5697,2,0,0,3,9,2940,660,2014,0,98075,47.5755,-122.071,3490,5911,870515
-9512200420,7/21/14,4,2.5,2154,4153,2,0,0,3,9,2154,0,2012,0,98058,47.4557,-122.13,2154,4091,390000
-7132300525,4/11/15,3,1.75,1530,825,3,0,0,3,8,1530,0,2015,0,98144,47.5929,-122.308,1580,1915,500000
-7515000143,8/5/14,3,2.25,1360,1041,2,0,0,3,8,1094,266,2006,0,98117,47.6925,-122.375,1522,1382,399950
-3395070440,2/9/15,3,2.5,1320,2480,2,0,0,3,7,1320,0,2005,0,98118,47.536,-122.284,1320,3240,305000
-629650380,1/23/15,4,2.5,1660,6724,2,0,0,3,7,1660,0,2009,0,98001,47.259,-122.256,1544,6054,255000
-1115600130,9/30/14,4,2.5,2891,6499,2,0,0,3,9,2891,0,2014,0,98001,47.3359,-122.257,2550,8383,415000
-8562790950,3/27/15,3,2.5,2340,2155,2,0,0,3,10,2120,220,2012,0,98027,47.53,-122.073,2640,2680,716500
-3413700130,6/25/14,3,2.5,2320,2267,3,0,0,3,8,2320,0,2009,0,98177,47.7027,-122.359,1240,1883,425000
-9532000170,2/17/15,4,2.5,2190,3855,2,0,0,3,8,2190,0,2010,0,98011,47.7705,-122.169,2190,3600,540000
-255450380,8/4/14,3,2.5,2060,4742,2,0,0,3,8,2060,0,2014,0,98038,47.3706,-122.017,2370,4725,324747
-7203140420,1/28/15,3,2.5,1740,4145,2,0,0,3,7,1740,0,2010,0,98053,47.6875,-122.015,1740,4045,385000
-1760650670,8/12/14,3,2.25,1400,3825,2,0,0,3,7,1400,0,2012,0,98042,47.3596,-122.082,2110,3825,270000
-5556300098,6/12/14,5,4,4410,14380,2,0,0,3,11,4410,0,2006,0,98052,47.6463,-122.121,2720,11454,1240000
-8129700743,4/16/15,3,2.5,1780,1647,2,0,0,3,8,1080,700,2008,0,98103,47.6597,-122.355,2000,1741,672000
-3023000050,1/29/15,3,2.5,1760,10137,2,0,0,3,8,1760,0,2010,0,98038,47.355,-122.059,2000,6935,310000
-518500480,8/11/14,3,3.5,4410,10756,2,1,4,3,11,3430,980,2014,0,98056,47.5283,-122.205,3550,5634,3000000
-1725059127,2/25/15,6,4.25,5550,11547,2,0,2,3,11,4270,1280,2014,0,98033,47.6547,-122.202,3480,11547,2350000
-9511120050,6/27/14,3,2.5,2432,9391,2,0,2,3,9,2432,0,2005,0,98001,47.3453,-122.267,2912,8932,427000
-8943600430,4/23/15,3,2.5,2283,3996,2,0,0,3,8,2283,0,2008,0,98031,47.4221,-122.192,1760,3992,389950
-9429400170,6/25/14,3,2.5,1860,3730,2,0,0,3,8,1860,0,2012,0,98019,47.7442,-121.984,2110,4509,309620
-3845101150,7/1/14,4,2.5,2701,4500,2,0,0,3,9,2701,0,2014,0,98092,47.2586,-122.194,2570,4800,399895
-1085623560,2/2/15,4,2.5,2930,4875,2,0,0,3,9,2930,0,2014,0,98030,47.3421,-122.179,2815,4900,442515
-263000255,12/2/14,3,2.25,1540,1561,3,0,0,3,8,1540,0,2010,0,98103,47.6991,-122.346,1540,1547,375000
-7299600130,7/2/14,3,2.5,2242,4500,2,0,0,3,8,2242,0,2014,0,98092,47.2583,-122.198,2009,4500,309780
-7853320280,3/12/15,3,2.5,1950,4345,2,0,0,3,7,1950,0,2007,0,98065,47.5202,-121.873,2260,4345,425000
-4253400098,5/1/15,2,3,1160,1073,2,0,0,3,7,880,280,2007,0,98144,47.5788,-122.315,1250,4812,405000
-3814900380,7/19/14,3,2.5,2060,5115,2,0,0,3,9,2060,0,2014,0,98092,47.3261,-122.163,2648,4500,356250
-6821101732,2/19/15,3,2.25,1230,875,3,0,0,3,8,1230,0,2013,0,98199,47.6521,-122.4,1760,5664,550000
-3644100086,5/5/14,2,1.5,1160,1438,2,0,0,3,7,1160,0,2001,0,98144,47.5917,-122.295,1220,1740,340000
-7237450080,8/23/14,4,2.5,2245,4301,2,0,0,3,8,2245,0,2014,0,98038,47.3555,-122.063,2530,4478,362865
-6389970010,3/23/15,4,3.5,4120,12626,2,0,1,3,11,3970,150,2014,0,98034,47.7089,-122.245,4120,11913,1360000
-9578090050,5/5/14,4,2.5,3400,9692,2,0,0,3,9,3400,0,2007,0,98052,47.708,-122.109,3070,7375,830000
-1489300005,8/1/14,5,3.75,4270,7500,2,0,0,3,10,3210,1060,2014,0,98033,47.6845,-122.207,2410,8350,1600000
-7768800290,3/4/15,4,3.5,2890,5911,2,0,0,3,9,2370,520,2014,0,98075,47.5754,-122.071,3490,6093,855000
-1245003220,8/19/14,5,3.5,3220,8000,2,0,0,3,9,2900,320,2008,0,98033,47.6834,-122.2,2100,9680,1210000
-5608000010,8/11/14,4,3.5,4010,15365,2,0,1,3,11,4010,0,2006,0,98027,47.5528,-122.093,3550,13429,1390000
-5379805260,3/26/15,4,3.5,2260,30250,2,0,0,3,7,2260,0,2013,0,98188,47.4493,-122.281,1270,16350,400200
-3278600670,5/23/14,2,1,1140,1730,1.5,0,0,3,8,1010,130,2007,0,98126,47.5494,-122.372,1360,1730,235000
-2781240050,5/7/15,3,2,1640,4714,1,0,0,3,8,1640,0,2009,0,98038,47.3539,-122.021,1770,4802,349950
-7502800050,7/9/14,4,2.75,3510,9400,2,0,0,3,9,3510,0,2014,0,98059,47.4827,-122.131,3550,9429,659950
-9544700500,5/8/14,3,2.75,3010,1842,2,0,0,3,9,3010,0,2011,0,98075,47.5836,-121.994,2950,4200,785000
-2771603314,4/16/15,2,2.25,1060,925,2,0,0,3,8,980,80,2006,0,98199,47.6386,-122.388,1020,4000,475000
-4181200680,5/27/14,3,2.5,1658,2700,2,0,0,3,8,1658,0,2014,0,98198,47.3667,-122.307,1658,2700,263900
-9347300010,5/1/15,3,2.5,1960,3540,2,0,0,3,8,1960,0,2012,0,98038,47.3568,-122.055,1840,3825,342000
-255450020,9/18/14,3,2.5,2420,4725,2,0,0,3,8,2420,0,2014,0,98038,47.371,-122.018,2370,4200,367899
-7230200585,2/4/15,3,3.5,3420,23786,1.5,0,0,3,9,3420,0,2014,0,98059,47.4739,-122.11,1590,23774,657044
-9828702771,11/13/14,2,1.5,893,965,2,0,0,3,8,893,0,2007,0,98122,47.6187,-122.301,1340,1436,359950
-9492500170,7/23/14,4,2.75,3020,7203,2,0,0,3,9,3020,0,2014,0,98033,47.6948,-122.178,3010,7215,879950
-9265880170,8/26/14,4,2.5,2470,5954,2,0,0,3,8,2470,0,2013,0,98028,47.7685,-122.236,2470,4800,550000
-7299600920,12/9/14,4,2.5,2009,4800,2,0,0,3,8,2009,0,2012,0,98092,47.2586,-122.2,1798,4800,279000
-8690600050,7/18/14,3,2.5,1530,1116,2.5,0,0,3,7,1530,0,2005,0,98028,47.7385,-122.25,1530,7780,255000
-1176001119,2/24/15,3,1.75,1590,1113,3,0,0,3,8,1590,0,2014,0,98107,47.6691,-122.402,1520,1357,609500
-3449850050,6/20/14,5,3,2630,3149,2,0,0,3,8,1670,960,2013,0,98056,47.5065,-122.171,2240,4825,420000
-9211000170,10/8/14,4,2.5,3230,7187,2,0,0,3,9,3230,0,2008,0,98059,47.4995,-122.15,2950,6537,570000
-6056111350,5/12/15,3,2.25,1430,2343,2,0,0,3,8,1430,0,2012,0,98108,47.5648,-122.294,1270,1916,439000
-7299601630,11/8/14,3,2.5,2242,5744,2,0,0,3,8,2242,0,2012,0,98092,47.2597,-122.199,2009,5712,310000
-7133300380,2/9/15,4,2.5,2500,4000,2,0,0,3,8,2500,0,2014,0,98144,47.5902,-122.311,1480,4300,635000
-2770601775,11/28/14,3,2.5,1230,922,2,0,0,3,8,1080,150,2009,0,98199,47.6518,-122.384,1230,1237,399950
-3630200630,8/5/14,4,2.5,3020,3600,2.5,0,0,3,9,3020,0,2009,0,98029,47.5407,-121.993,2570,3600,805000
-4385700250,4/7/15,4,3.5,3480,4000,2,0,0,3,9,2460,1020,2015,0,98112,47.6356,-122.281,2620,4000,1800000
-6430500182,4/3/15,4,3,3330,7650,1,0,0,3,9,1830,1500,2008,0,98103,47.6889,-122.352,1200,3876,1210000
-8029770190,10/15/14,4,2.5,3400,4840,2,0,0,3,10,3190,210,2006,0,98059,47.5066,-122.146,3400,5710,745000
-5393600507,6/24/14,2,1.5,830,1119,2,0,0,3,7,830,0,2005,0,98144,47.5828,-122.314,1480,3622,329445
-207700050,10/15/14,5,3,3110,4464,2,0,0,3,8,3110,0,2007,0,98011,47.7719,-122.168,2450,4221,588000
-8138870470,7/7/14,3,2.5,1910,2091,2,0,0,3,8,1910,0,2014,0,98029,47.5445,-122.013,1630,1546,494815
-7853370020,10/14/14,3,2.75,3230,5250,2,0,0,3,9,2680,550,2014,0,98065,47.5196,-121.878,2710,5250,591975
-3304300380,1/8/15,5,2.75,3380,8179,2,0,0,3,9,3380,0,2011,0,98059,47.4827,-122.135,2840,8179,600000
-3528960020,7/8/14,3,2.75,2830,3496,2,0,0,3,8,2830,0,2012,0,98029,47.5606,-122.011,2160,3501,673000
-1853080840,2/11/15,5,3.5,3700,7055,2,0,0,3,9,3700,0,2014,0,98074,47.5929,-122.057,3170,6527,889950
-7852130460,3/25/15,4,3,2520,4104,2,0,0,3,7,2520,0,2002,0,98065,47.5352,-121.88,2510,5015,500000
-2768301357,10/1/14,3,2.25,1530,1396,2,0,0,3,8,1240,290,2007,0,98107,47.666,-122.367,1690,2500,500000
-8562710250,5/5/14,4,4.25,4420,5750,2,0,0,3,10,3410,1010,2006,0,98027,47.5404,-122.073,4420,5750,890000
-6824100014,4/29/15,3,3,1460,1180,3,0,0,3,8,1460,0,2006,0,98117,47.6998,-122.367,1460,1224,437000
-7905200061,9/5/14,3,2.25,1450,1486,2,0,0,3,8,1160,290,2006,0,98116,47.5694,-122.387,1370,1437,419700
-3524039228,7/23/14,3,2,1160,3441,1,0,0,4,6,580,580,1930,0,98136,47.5314,-122.392,1160,4000,394000
-2781240040,8/6/14,3,2,1640,4802,1,0,0,3,8,1640,0,2010,0,98038,47.3538,-122.021,1940,4802,342000
-1222029064,6/26/14,3,1.75,1444,249126,1.5,0,0,3,7,1444,0,2008,0,98070,47.4104,-122.486,1760,224770,420000
-9523100730,5/23/14,3,2.5,1620,1173,3,0,4,3,8,1470,150,2008,0,98103,47.6681,-122.355,1620,1505,580000
-5649600464,3/27/15,2,1.5,1100,1228,2,0,0,3,7,900,200,2007,0,98118,47.5538,-122.282,1340,1380,343000
-7548301050,4/2/15,2,1.5,1340,1402,2,0,0,3,8,1120,220,2008,0,98144,47.588,-122.304,1340,1213,390000
-9542840450,8/11/14,3,1.5,1450,4694,2,0,0,3,7,1450,0,2011,0,98038,47.3654,-122.021,1870,4198,274000
-126039467,1/14/15,4,2.5,3040,7200,2,0,0,3,9,3040,0,2008,0,98177,47.7747,-122.366,2360,8245,700000
-7936000463,4/16/15,4,2.5,2560,7210,2,0,0,3,9,2560,0,2006,0,98136,47.5535,-122.395,2160,10439,838000
-3021059304,9/17/14,6,3,2744,9926,2,0,0,3,7,2744,0,2006,0,98002,47.2773,-122.216,2470,9926,300000
-3362401758,9/3/14,3,2.25,1420,990,3,0,0,3,8,1420,0,2008,0,98103,47.6801,-122.348,1350,1415,467000
-886000090,3/2/15,2,1,700,7457,1,0,0,3,6,700,0,1943,0,98108,47.5348,-122.295,1500,7130,395000
-1196003740,9/24/14,5,4.25,4110,42755,2,0,2,3,10,2970,1140,2000,0,98023,47.3375,-122.337,2730,12750,734000
-5045700090,1/6/15,5,2.75,2670,4780,2,0,0,3,8,2670,0,2013,0,98059,47.4866,-122.155,2560,5380,480000
-1604601801,2/17/15,3,2.75,2130,1400,2,0,0,3,9,1080,1050,2010,0,98118,47.5661,-122.29,1520,3132,539000
-5057100090,5/5/15,5,2.75,3078,6371,2,0,0,3,9,3078,0,2014,0,98042,47.3587,-122.163,1979,19030,459950
-3869900146,10/30/14,2,1,840,892,2,0,0,3,7,840,0,2006,0,98136,47.5396,-122.387,1030,1007,306500
-3862710180,3/26/15,3,2.5,1800,2731,2,0,0,3,8,1800,0,2014,0,98065,47.5342,-121.841,1800,3265,408474
-1023059246,5/14/14,3,2.75,2580,5200,2,0,0,3,8,2580,0,2008,0,98059,47.496,-122.151,2700,5602,437000
-6056100150,6/23/14,3,1.5,1270,2356,2,0,0,3,7,1270,0,2012,0,98108,47.5671,-122.298,1490,2175,160797
-3342700464,1/7/15,4,3.5,3065,5440,3,0,0,3,9,3065,0,2014,0,98056,47.524,-122.2,2210,8400,729000
-3026059362,10/31/14,3,2.5,1861,1587,2,0,0,3,8,1578,283,2007,0,98034,47.7043,-122.209,2090,10454,499000
-1327600150,10/16/14,4,2.75,2260,5705,2,0,0,3,8,2260,0,2014,0,98042,47.3726,-122.159,2260,5727,359950
-2895730540,12/10/14,5,3.25,4150,7100,2,0,0,3,10,4150,0,2013,0,98074,47.6026,-122.06,3560,7214,929000
-2768200209,10/6/14,2,2.5,1500,1174,2,0,0,3,8,1140,360,2014,0,98107,47.6689,-122.363,1550,1519,529950
-9268851380,4/3/15,3,2.25,1620,998,2.5,0,0,3,8,1540,80,2012,0,98027,47.5394,-122.027,1620,1068,461000
-7625703007,10/14/14,2,1.5,830,1325,2,0,0,3,7,830,0,2005,0,98136,47.5472,-122.384,1310,1485,271115
-7202280580,1/6/15,4,2.5,3120,5137,2,0,0,3,7,3120,0,2003,0,98053,47.6842,-122.04,2755,5137,653000
-1972202187,10/24/14,3,2.5,1870,1058,3,0,0,3,8,1380,490,2007,0,98103,47.6512,-122.345,1440,1136,565000
-2767600985,12/4/14,3,2.25,1240,1250,3,0,0,3,8,1240,0,2014,0,98107,47.6748,-122.377,1470,1250,529950
-5631501202,3/26/15,4,2.5,2820,5612,2,0,0,3,9,2820,0,2007,0,98028,47.7477,-122.236,1620,14881,585000
-1972200556,7/3/14,3,1.75,1630,1526,3,0,0,3,8,1630,0,2014,0,98103,47.6536,-122.354,1570,1274,609000
-301400930,6/18/14,3,2.25,1584,2800,2,0,0,3,7,1584,0,2012,0,98002,47.3454,-122.214,1584,2800,267000
-9265880040,5/9/14,4,2.5,2840,4500,2,0,0,3,8,2840,0,2012,0,98028,47.7678,-122.237,2840,4939,557000
-7853280610,11/17/14,4,3.25,3910,6293,2,0,0,3,9,3130,780,2006,0,98065,47.5389,-121.86,4410,6015,709950
-1972200847,7/18/14,3,2.5,1730,1301,3,0,0,3,9,1730,0,2011,0,98103,47.653,-122.352,1330,1240,625000
-8562790940,12/23/14,3,2.75,1840,2060,2,0,0,3,10,1700,140,2013,0,98027,47.53,-122.073,2590,2680,599000
-1623089165,5/6/15,4,3.75,4030,503989,2,0,0,3,10,4030,0,2008,0,98045,47.4807,-121.795,2110,71874,920000
-6788200596,10/16/14,4,3.5,3440,3800,3,0,0,3,9,3440,0,2014,0,98112,47.6408,-122.307,1760,3800,1290000
-1760650610,3/30/15,4,2.5,2110,3825,2,0,0,3,7,2110,0,2012,0,98042,47.3602,-122.082,2110,3825,324500
-7853360850,1/16/15,3,2.5,2430,5866,2,0,0,3,7,2430,0,2009,0,98065,47.5158,-121.871,2380,5866,471500
-2526069092,8/8/14,4,3.75,4690,207141,2,0,0,3,10,4030,660,2007,0,98019,47.7072,-121.983,2890,200527,1020000
-2424059061,11/11/14,4,3.5,3500,43560,2,0,0,3,9,2850,650,2014,0,98006,47.5481,-122.103,3640,40545,998000
-7661600206,1/29/15,4,2.5,2070,8685,2,0,0,3,7,2070,0,2006,0,98188,47.4697,-122.267,2170,9715,262000
-8149600065,4/1/15,4,3.5,3350,6350,2,0,2,3,8,2610,740,2009,0,98116,47.5602,-122.39,1820,6350,844000
-6666830120,6/24/14,4,2.5,2440,4850,2,0,0,3,8,2440,0,2013,0,98052,47.7043,-122.114,2970,5450,745641
-3034200087,12/12/14,5,3,3010,7357,2,0,0,3,9,3010,0,2008,0,98133,47.7226,-122.33,2370,8050,659950
-255450410,8/4/14,3,2.5,2060,4200,2,0,0,3,8,2060,0,2014,0,98038,47.3706,-122.018,2370,4200,339989
-3438501327,5/4/15,2,2.5,1570,2399,2,0,0,3,7,1180,390,2009,0,98106,47.5488,-122.364,1590,2306,352500
-9828702389,5/13/14,3,2.5,1580,1161,2,0,0,3,8,1010,570,2008,0,98112,47.6206,-122.299,1680,1177,525000
-8691440330,9/29/14,5,3.5,4280,6530,2,0,3,3,10,4280,0,2014,0,98075,47.5941,-121.973,3960,6863,1140000
-1085623740,8/12/14,5,3.5,2815,4900,2,0,0,3,9,2815,0,2011,0,98030,47.3424,-122.179,2798,4900,491000
-1424069110,7/18/14,4,2.5,2620,6114,2,0,0,3,9,2620,0,2011,0,98029,47.5603,-122.013,2620,5808,675000
-993001914,1/6/15,3,2.25,1250,1033,3,0,0,3,8,1250,0,2007,0,98103,47.6907,-122.343,1250,1150,344000
-9211010220,11/4/14,4,2.5,3250,4500,2,0,0,3,8,3250,0,2008,0,98059,47.4944,-122.15,3030,4598,530000
-2143701015,12/10/14,4,3.25,2510,7686,2,0,0,3,9,2510,0,2003,0,98055,47.4785,-122.228,2510,6732,290500
-6056111430,1/13/15,2,1.75,1270,1685,2,0,0,3,8,1270,0,2012,0,98108,47.5646,-122.295,1270,1843,335000
-1925059254,5/7/15,5,4,6670,16481,2,0,0,3,12,4960,1710,2007,0,98004,47.6409,-122.221,4800,16607,3000000
-3278606200,9/19/14,3,2.5,1580,3075,2,0,0,3,8,1580,0,2013,0,98126,47.545,-122.368,1710,2934,379000
-3126049501,7/17/14,3,1.5,1360,2030,3,0,0,3,8,1360,0,2008,0,98103,47.6961,-122.349,1360,1167,385000
-4305600360,2/25/15,4,2.5,2400,9612,1,0,0,3,8,1230,1170,1962,2009,98059,47.4799,-122.127,2430,5539,500012
-6632300212,5/5/14,3,3,1571,2017,3,0,0,3,8,1571,0,2008,0,98125,47.7338,-122.309,1520,1497,366750
-1189000492,6/6/14,2,2,1405,1073,2,0,0,3,8,1140,265,2007,0,98122,47.612,-122.295,1405,3000,405000
-3319500628,2/12/15,3,1.5,1010,1546,2,0,0,3,8,1010,0,1971,2014,98144,47.5998,-122.311,1010,1517,356999
-2436700625,4/17/15,2,2.5,1450,1281,2,0,0,3,8,1220,230,2006,0,98105,47.665,-122.285,1440,1281,590000
-3679400474,11/4/14,3,1.75,1420,1361,2,0,0,3,7,960,460,2014,0,98108,47.5684,-122.314,1340,1343,294000
-7203190110,4/26/15,4,2.5,2650,4644,2,0,0,3,8,2650,0,2013,0,98053,47.6945,-122.018,2640,5099,731500
-1853080850,6/6/14,5,2.75,3030,7679,2,0,0,3,9,3030,0,2014,0,98074,47.593,-122.057,3080,6341,837219
-1125079111,4/15/15,4,5.5,6530,871200,2,0,2,3,11,6530,0,2008,0,98014,47.664,-121.878,1280,858132,1600000
-518500610,6/16/14,3,2.75,2670,3738,1,0,0,3,10,1720,950,2013,0,98056,47.5299,-122.203,2610,3734,798800
-293670040,10/8/14,2,2.5,1170,809,2,0,0,3,9,1170,0,2007,0,98103,47.6875,-122.339,1170,1121,482500
-3303970100,3/6/15,4,2.5,3260,26772,2,0,0,3,9,3260,0,2007,0,98027,47.5115,-122.031,3260,14491,820000
-3834000594,7/11/14,3,1.5,1480,1722,3,0,0,3,7,1480,0,2007,0,98125,47.728,-122.292,1480,5764,319000
-3342100569,8/13/14,3,2.5,2700,6947,2,0,3,3,9,2700,0,2013,0,98056,47.5172,-122.208,2500,6947,950000
-7237501380,5/7/15,4,3.5,4640,13404,2,0,0,3,10,4640,0,2007,0,98059,47.531,-122.134,4690,13590,1270000
-2325300093,7/7/14,3,2.5,1601,2491,3,0,0,3,7,1536,65,2007,0,98125,47.719,-122.317,1420,1156,378000
-9808100150,4/2/15,5,3.75,5350,15360,1,0,1,3,11,3040,2310,2008,0,98004,47.648,-122.218,3740,15940,3350000
-3332500085,10/27/14,3,2.5,2540,5237,2,0,0,3,8,2540,0,2011,0,98118,47.5492,-122.276,1800,4097,489950
-3869900150,4/27/15,2,1.75,1030,1106,2,0,0,3,7,765,265,2006,0,98136,47.5397,-122.387,1030,1066,345000
-2011400401,2/26/15,3,2.5,2730,7136,2,0,0,3,8,2730,0,2012,0,98198,47.3938,-122.321,2130,8932,510000
-9578501030,7/29/14,4,2.5,3172,5033,2,0,0,3,8,3172,0,2014,0,98023,47.2961,-122.348,2704,5232,432500
-8029770410,4/20/15,4,2.5,3160,8530,2,0,0,3,9,3160,0,2006,0,98059,47.5075,-122.148,3160,6460,650000
-6639900242,10/3/14,4,2.5,2850,12429,2,0,0,3,9,2850,0,2008,0,98033,47.6915,-122.177,2540,12000,750000
-2919700735,4/27/15,4,3.5,2780,3100,2,0,0,3,8,2120,660,2014,0,98117,47.6886,-122.364,1740,3600,870000
-8691440410,12/15/14,4,3.5,3860,6543,2,0,0,3,10,3860,0,2014,0,98075,47.5934,-121.974,3760,6888,900000
-2902201301,12/16/14,2,1.75,1180,900,2,0,0,3,10,780,400,2014,0,98102,47.6395,-122.329,1380,3610,664950
-291310150,6/2/14,3,2.25,1410,1290,2,0,0,3,7,1290,120,2004,0,98027,47.5345,-122.069,1490,1380,391000
-323079101,1/23/15,4,3.5,6370,205603,2,0,0,3,12,6370,0,2008,0,98027,47.5016,-121.905,1490,33580,1800000
-5057100110,5/14/15,5,3,3223,6371,2,0,0,3,9,3223,0,2014,0,98042,47.3584,-122.163,1979,9008,479349
-9268850940,12/23/14,4,3.25,2600,2074,2,0,0,3,8,2150,450,2011,0,98027,47.5402,-122.028,2510,2074,661000
-993000315,10/2/14,3,3.25,1380,1234,3,0,0,3,8,1380,0,2006,0,98103,47.6935,-122.342,1370,1282,379000
-9268851800,5/5/14,3,2.25,1620,998,2.5,0,0,3,8,1540,80,2010,0,98027,47.5401,-122.027,1620,1299,415000
-4310702837,12/1/14,3,3.25,1370,1227,3,0,0,3,8,1370,0,2007,0,98103,47.6964,-122.341,1370,1236,375000
-4310703083,5/23/14,3,2,1220,1186,3,0,0,3,8,1220,0,2007,0,98103,47.6972,-122.341,1280,1251,355000
-1890000166,9/5/14,3,2.5,1280,1889,3,0,0,3,8,1280,0,2009,0,98105,47.6619,-122.324,1450,1889,540000
-7904700146,7/24/14,2,1.5,770,850,2,0,0,3,7,770,0,2006,0,98116,47.5644,-122.388,1350,915,290000
-1931300308,5/20/14,3,2.5,1210,1200,3,0,0,3,8,1210,0,2008,0,98103,47.6543,-122.345,1210,1200,500000
-8091670730,9/2/14,4,2.5,2890,6322,2,0,0,3,8,2890,0,2011,0,98038,47.3494,-122.044,2380,5738,416000
-3278612370,8/11/14,3,2.5,1580,2765,2,0,0,3,8,1580,0,2011,0,98126,47.5444,-122.369,1580,1820,349900
-7600065,6/5/14,3,2.25,1530,1245,2,0,0,3,9,1050,480,2014,0,98122,47.6018,-122.297,1530,2307,465000
-3630200900,6/30/14,4,2.5,3670,7680,2.5,0,0,3,10,3670,0,2007,0,98029,47.5401,-121.993,3130,6112,950000
-3278611450,3/26/15,4,2.25,1850,2340,2.5,0,0,3,8,1850,0,2014,0,98126,47.543,-122.372,1850,2340,496800
-2026049184,3/20/15,4,2.5,2440,6581,2,0,0,3,8,2440,0,2014,0,98133,47.7321,-122.334,1480,7432,680000
-9103000455,4/24/15,4,3.25,2190,4265,2,0,0,3,9,1540,650,2015,0,98122,47.6178,-122.29,1730,4265,920000
-8691440220,2/2/15,5,4,4360,8030,2,0,0,3,10,4360,0,2015,0,98075,47.5923,-121.973,3570,6185,1290000
-7202300540,7/1/14,4,2.75,3990,6637,2,0,0,3,9,3990,0,2003,0,98053,47.6835,-122.045,3500,7074,825000
-1453601038,10/2/14,3,2.5,1270,1283,3,0,0,3,7,1270,0,2007,0,98125,47.7209,-122.291,1270,1512,292000
-9211010330,4/9/15,4,2.5,3340,6924,2,0,0,3,8,3340,0,2009,0,98059,47.495,-122.149,3030,6119,576000
-1972201773,3/13/15,2,2,1500,761,3,0,3,3,8,1500,0,2008,0,98103,47.6522,-122.346,1360,1527,670000
-7974200948,5/20/14,4,3.5,3120,5086,2,0,0,3,9,2480,640,2008,0,98115,47.6762,-122.288,1880,5092,953007
-2700200040,2/23/15,4,2.5,2480,4334,2,0,0,3,8,2480,0,2012,0,98038,47.3826,-122.036,2480,5632,399000
-7625702264,4/27/15,2,2,1110,1155,3,0,0,3,7,980,130,2008,0,98136,47.5496,-122.388,1110,1089,399000
-2428100100,11/17/14,4,2.75,2760,5670,2,0,0,3,10,2760,0,2014,0,98075,47.5819,-122.047,2760,6600,847093
-1176001123,2/6/15,3,2.5,1510,1493,3,0,0,3,8,1510,0,2014,0,98107,47.669,-122.402,1530,1357,599950
-3052700472,8/13/14,3,2.5,1460,1614,2,0,0,3,8,1180,280,2007,0,98117,47.6781,-122.374,1380,1402,499000
-1623089086,10/15/14,4,2.75,3980,285318,2,0,2,3,9,3980,0,2006,0,98045,47.4803,-121.795,2100,105415,760000
-2311400145,10/29/14,4,3.75,3320,8234,2,0,0,3,10,3320,0,2014,0,98004,47.5963,-122.2,1560,8240,1700000
-8895800090,5/12/14,4,3.25,3270,5187,2,0,0,3,9,3110,160,2014,0,98052,47.6966,-122.133,3600,5825,1030000
-847100021,5/20/14,4,2.5,2670,8765,2,0,0,3,9,2670,0,2006,0,98059,47.4876,-122.146,2880,8765,515000
-291310120,12/9/14,3,2.25,1410,1332,2,0,0,3,7,1290,120,2004,0,98027,47.5345,-122.069,1445,1290,355000
-301401390,8/5/14,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.3452,-122.21,2166,4000,319900
-7519001068,5/27/14,3,3.5,1600,1431,2,0,0,3,8,1240,360,2006,0,98117,47.6865,-122.363,1500,4120,460000
-7203101590,1/8/15,2,1,1290,3383,2,0,0,3,7,1290,0,2008,0,98053,47.6968,-122.025,1290,2828,305000
-7299600530,3/17/15,3,2.5,1608,4818,2,0,0,3,8,1608,0,2012,0,98092,47.2583,-122.203,2009,5200,280000
-7625703357,2/27/15,2,2.25,1300,2104,2,0,0,3,8,1010,290,2011,0,98136,47.5477,-122.388,1430,1850,394950
-7889601270,8/21/14,4,3.5,2530,3000,2,0,0,3,8,1850,680,2014,0,98146,47.4919,-122.336,1470,6000,382000
-4083306553,4/22/15,3,2.5,1390,1411,3,0,0,3,8,1390,0,2008,0,98103,47.6485,-122.334,1350,1266,560000
-9828701508,5/20/14,3,2.25,1640,1204,3,0,0,3,8,1640,0,2014,0,98112,47.6196,-122.297,1630,3136,772000
-8946390150,7/22/14,4,2.5,2229,5723,2,0,0,3,7,2229,0,2012,0,98032,47.3693,-122.286,2738,5742,324950
-8648900040,7/9/14,3,2.5,1790,3078,2,0,0,3,8,1790,0,2010,0,98027,47.5638,-122.094,1890,3078,530000
-4092300211,10/24/14,3,2.25,990,736,2.5,0,0,3,8,880,110,2009,0,98105,47.6605,-122.319,1030,1201,384000
-3343902510,6/11/14,5,2.75,3240,6863,2,0,0,3,10,3240,0,2013,0,98056,47.5033,-122.193,2360,6002,719950
-2919700107,8/11/14,2,2.5,1280,819,2,0,0,3,8,1060,220,2006,0,98103,47.6905,-122.364,1290,2900,319950
-2781280230,1/28/15,3,2.5,1610,3848,2,0,0,3,8,1610,0,2006,0,98055,47.4497,-122.188,1610,3049,292000
-3232200085,4/28/15,6,3.5,3670,3959,2,0,0,3,10,2410,1260,2008,0,98119,47.6356,-122.373,2060,3625,1500000
-1972200259,5/7/14,2,2.5,1150,1027,3,0,0,3,8,1150,0,2008,0,98103,47.6534,-122.356,1360,1210,425000
-1926059236,10/10/14,5,3.75,3760,4702,2,0,0,3,9,2780,980,2014,0,98034,47.7202,-122.223,2950,5981,799950
-2768200210,8/25/14,2,2.5,1320,1157,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.363,1550,1519,499000
-3304300210,3/27/15,4,2.75,2700,7992,2,0,0,3,9,2700,0,2012,0,98059,47.4831,-122.135,2840,7992,572000
-9826700930,7/22/14,2,2,1480,804,3,0,0,3,8,1480,0,2008,0,98122,47.602,-122.308,1380,1751,459000
-9385200042,3/18/15,3,2.25,1410,905,3,0,0,3,9,1410,0,2014,0,98116,47.5818,-122.402,1510,1352,529500
-3876590090,9/9/14,4,2.5,3135,5811,2,0,0,3,9,3135,0,2005,0,98092,47.3263,-122.18,3008,5799,374500
-2902200142,6/5/14,3,2.5,1480,1485,2,0,0,3,8,1280,200,2007,0,98102,47.6376,-122.326,1470,1277,584000
-8085400401,1/15/15,4,4.5,4020,9656,2,0,0,3,10,4020,0,2007,0,98004,47.6358,-122.207,1960,9520,1900000
-2902200237,7/7/14,2,2.25,1060,1209,2,0,0,3,8,940,120,2006,0,98102,47.6369,-122.327,1300,1169,505000
-7658600082,11/14/14,2,2.5,1950,2457,3,0,0,3,8,1950,0,2009,0,98144,47.5925,-122.302,1650,1639,565000
-6891100330,3/25/15,4,2.75,3340,5677,2,0,0,3,9,3340,0,2011,0,98052,47.709,-122.118,3240,5643,799000
-6821102367,4/29/15,3,2.5,1570,1452,2.5,0,0,3,9,1240,330,2007,0,98199,47.648,-122.396,1670,1596,547000
-1900600015,2/27/15,3,2.5,1930,6604,2,0,0,3,7,1930,0,2014,0,98166,47.4692,-122.351,910,6604,550000
-1545808120,9/18/14,3,2,1590,8100,1,0,0,3,7,1060,530,1996,0,98038,47.3611,-122.047,1590,8100,250000
-2126059294,1/5/15,4,4.5,3720,7746,2,0,0,3,10,3720,0,2014,0,98034,47.7323,-122.165,3080,11067,960000
-1370800515,10/30/14,4,4.25,4470,5884,2,0,1,3,11,3230,1240,2010,0,98199,47.6387,-122.405,2570,6000,2950000
-3319500334,3/27/15,2,1,1290,1289,2,0,0,3,7,1030,260,2005,0,98144,47.6006,-122.305,1290,1332,441000
-301400940,4/7/15,3,2.25,1489,2800,2,0,0,3,7,1489,0,2012,0,98002,47.3454,-122.214,1584,2800,265000
-2722069077,4/9/15,3,2.5,2075,39553,1,0,0,3,7,2075,0,2012,0,98038,47.3601,-122.032,1960,9047,430000
-8943600720,6/17/14,3,2.5,1413,3600,2,0,0,3,8,1413,0,2011,0,98031,47.4222,-122.193,2150,3869,286800
-7660100236,4/16/15,3,2.5,1300,1362,2,0,0,3,8,880,420,2008,0,98144,47.5893,-122.317,1300,1251,375000
-1773100921,12/15/14,3,3.25,1480,983,2,0,0,3,8,1180,300,2013,0,98106,47.5555,-122.363,1330,1062,312500
-8679200100,1/7/15,4,2.75,3320,5559,2,0,0,3,9,3320,0,2012,0,98075,47.5607,-122.031,3400,6854,850000
-3654200039,3/25/15,3,2.25,1530,1279,2,0,0,3,7,1116,414,2007,0,98177,47.7035,-122.357,1320,1427,390500
-2771602428,10/29/14,3,2.5,1180,932,3,0,0,3,8,1180,0,2010,0,98119,47.638,-122.375,1180,2632,455000
-1225039067,4/6/15,2,2,1190,1303,2,0,0,3,8,800,390,2009,0,98107,47.6675,-122.368,1670,2425,455000
-625049359,12/3/14,3,2.25,1300,1180,3,0,0,3,8,1300,0,2008,0,98103,47.6871,-122.339,1300,1174,515000
-3278606050,4/1/15,3,3.5,1710,2212,2,0,0,3,7,1400,310,2013,0,98126,47.5459,-122.368,1580,2212,362500
-5112800291,9/24/14,3,2.5,2390,47480,2,0,0,3,9,2390,0,2007,0,98058,47.4517,-122.084,1720,44866,460000
-7853360300,9/4/14,4,3.5,3510,6005,2,0,0,3,8,2750,760,2010,0,98065,47.5168,-121.87,3090,5866,540000
-6056111063,7/31/14,3,1.75,1140,1165,2,0,0,3,8,1140,0,2014,0,98108,47.5638,-122.295,1150,1552,230000
-2767704649,9/29/14,2,2.5,1320,1329,2,0,0,3,8,1180,140,2007,0,98107,47.6728,-122.374,1490,5000,425000
-7683800205,5/19/14,5,3,2100,9752,1,0,0,3,8,1200,900,2007,0,98003,47.3341,-122.304,1270,10200,298450
-9406530150,12/22/14,4,2.5,2400,4848,2,0,0,3,8,2400,0,2004,0,98038,47.3626,-122.04,1980,5199,344000
-2979800409,5/5/14,3,2.5,1408,989,3,0,0,3,8,1408,0,2005,0,98115,47.6856,-122.315,1408,1342,416286
-1085622540,2/23/15,4,2.5,2560,5102,2,0,0,3,8,2560,0,2013,0,98092,47.3404,-122.181,2586,5059,379500
-4310701421,6/17/14,2,2.5,1260,1347,3,0,0,3,8,1260,0,2005,0,98103,47.6994,-122.341,1260,1356,350000
-2895800770,4/8/15,2,1.75,1290,1624,2,0,0,3,8,1290,0,2014,0,98106,47.5171,-122.347,1410,1963,258800
-3034200067,12/18/14,4,2.5,2730,9260,2,0,0,3,8,2730,0,2008,0,98133,47.7222,-122.331,2730,7357,620000
-3438501320,5/2/14,2,2.5,1630,1368,2,0,0,3,7,1280,350,2009,0,98106,47.5489,-122.363,1590,2306,295000
-8691450120,2/27/15,4,2.75,3530,6844,2,0,0,3,10,3530,0,2014,0,98075,47.5975,-121.985,3530,10038,908990
-6306810110,11/17/14,4,2.5,2714,12558,2,0,0,3,9,2714,0,2014,0,98031,47.3522,-122.201,2873,8269,485230
-3629990110,6/11/14,3,2.25,1630,2520,2,0,0,3,7,1630,0,2005,0,98029,47.5493,-121.998,1630,3131,475000
-715010110,8/4/14,5,3.25,5790,13726,2,0,3,3,10,4430,1360,2014,0,98006,47.5388,-122.114,5790,13726,1240000
-3629700090,8/19/14,3,3,2230,1407,2.5,0,0,3,8,1850,380,2013,0,98027,47.5446,-122.017,2290,1407,635000
-3277801411,11/5/14,3,2.5,1380,1590,2,0,0,3,9,1160,220,2012,0,98126,47.5444,-122.375,1380,1590,350000
-8822901175,12/29/14,3,3.5,1320,1161,3,0,0,3,8,1320,0,2010,0,98125,47.7162,-122.294,1320,1161,345000
-6926700654,9/21/14,2,2,1490,713,3,0,0,3,9,1490,0,2014,0,98109,47.6356,-122.346,1490,1110,700000
-2768301482,8/21/14,3,2.25,1280,1520,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,490000
-8895800110,8/5/14,5,4,3870,5929,2,0,0,3,10,3870,0,2014,0,98052,47.6965,-122.134,3600,5625,1300000
-3879900750,9/10/14,2,2.5,1280,1051,2,0,0,3,8,1080,200,2009,0,98119,47.6273,-122.359,1580,1279,579000
-7234600820,3/27/15,3,1.5,1300,1435,2,0,0,3,8,1120,180,2007,0,98122,47.6114,-122.31,1320,1652,552500
-1946000100,2/4/15,4,2.75,2170,5024,2,0,0,3,8,2170,0,2012,0,98059,47.495,-122.145,2460,5024,467000
-8943600870,11/13/14,4,2.25,1763,3717,2,0,0,3,8,1763,0,2012,0,98031,47.4213,-122.194,1763,3666,305000
-6145600557,5/9/14,2,1.5,1020,1525,2,0,0,3,7,1020,0,2004,0,98133,47.704,-122.347,1020,3844,212000
-7203140180,8/21/14,4,2.5,1840,4593,2,0,0,3,7,1840,0,2010,0,98053,47.6866,-122.013,1740,3600,429000
-3277801592,9/25/14,3,2,1820,1358,3,0,0,3,9,1820,0,2014,0,98126,47.5433,-122.376,1710,1367,479950
-461003835,12/18/14,3,3.5,2670,3000,2,0,0,3,9,1870,800,2014,0,98117,47.6813,-122.372,1750,5000,825000
-424069279,3/28/15,6,6.5,6260,10955,2,0,0,3,11,4840,1420,2007,0,98075,47.5947,-122.039,2710,12550,1180000
-1760651000,6/13/14,3,2.25,1400,3814,2,0,0,3,7,1400,0,2012,0,98042,47.3584,-122.083,1610,3814,250000
-3057000070,10/27/14,2,1.5,1160,2158,2,0,0,3,7,1160,0,1982,0,98034,47.7178,-122.19,1150,2158,289000
-2895810200,10/2/14,3,2.5,1400,3368,2,0,0,3,7,1400,0,2013,0,98146,47.5134,-122.342,1400,4316,265000
-2325300060,5/15/14,3,2.5,1232,1130,3,0,0,3,7,1232,0,2007,0,98125,47.7185,-122.317,1232,1202,344000
-9151600055,7/9/14,4,2.75,2700,6000,2,0,0,4,8,2100,600,1910,0,98116,47.586,-122.383,2050,5400,749000
-7853321260,9/8/14,4,2.5,2550,6382,2,0,0,3,7,2550,0,2007,0,98065,47.5202,-121.87,2430,5900,492000
-4219610320,1/19/15,4,2.5,3260,6902,2,0,0,3,8,3260,0,2008,0,98059,47.4829,-122.156,3130,6588,552500
-2902200016,11/12/14,2,2.5,1680,1240,2,0,0,3,8,1120,560,2014,0,98102,47.6372,-122.324,2060,3630,653500
-7518507055,4/2/15,4,3.25,2630,2550,2,0,0,3,10,2030,600,2006,0,98117,47.6775,-122.385,1810,2600,855000
-7502700060,11/19/14,3,1.5,1260,5758,2,0,0,3,7,1260,0,1999,0,98006,47.5524,-122.139,3090,10142,333000
-3448740160,6/11/14,4,2.5,2550,4500,2,0,0,3,7,2550,0,2009,0,98059,47.4916,-122.153,2340,4526,415000
-179001455,11/7/14,4,3.25,3450,5000,2,0,0,3,8,3450,0,2008,0,98178,47.4925,-122.273,1420,5000,445000
-8669160270,7/10/14,3,2.5,1550,3402,2,0,0,3,7,1550,0,2009,0,98002,47.3523,-122.212,2095,3402,273500
-4215270070,6/6/14,4,2.5,4150,8436,2,0,0,3,10,4150,0,2014,0,98075,47.5802,-122.039,4070,8438,969990
-170000060,10/8/14,5,3.5,3900,4400,2,0,0,3,9,2650,1250,2014,0,98107,47.6607,-122.362,1190,4400,1200000
-7410200431,8/6/14,3,3.25,1550,1444,3,0,0,3,8,1550,0,2006,0,98115,47.6767,-122.291,1550,1444,430000
-6600060140,3/23/15,4,2.5,2130,4000,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.362,1830,7217,392000
-2324059314,7/2/14,4,2.5,2890,7798,2,0,0,3,9,2890,0,2005,0,98006,47.5456,-122.129,3300,30950,795000
-9376301111,6/30/14,3,2.5,1220,1330,2,0,0,3,8,1010,210,2008,0,98117,47.6904,-122.37,1360,3750,457000
-8956200560,3/20/15,4,2.5,2502,8306,2,0,0,3,9,2502,0,2013,0,98001,47.2953,-122.265,2597,6983,453000
-6749700002,5/9/14,3,2,1340,1384,3,0,0,3,8,1340,0,2008,0,98103,47.6973,-122.35,1110,1384,376000
-1438000390,8/4/14,4,2.5,2350,3800,2,0,0,3,8,2350,0,2014,0,98059,47.4783,-122.123,2670,4180,469995
-8682301600,5/4/15,3,2.5,1810,3930,2,0,0,3,8,1810,0,2008,0,98053,47.7169,-122.02,1560,5100,540000
-7853361370,5/2/14,4,2.5,3310,6500,2,0,0,3,8,3310,0,2012,0,98065,47.515,-121.87,2380,5000,555000
-3333001997,7/25/14,3,2,1620,5101,1,0,0,3,7,590,1030,2006,0,98118,47.5448,-122.288,1700,7750,445000
-7899800857,12/15/14,2,2,1070,635,2,0,0,3,9,720,350,2008,0,98106,47.5212,-122.357,1070,928,256950
-7338220370,10/6/14,4,2.5,2230,4952,2,0,0,3,8,2230,0,2011,0,98002,47.3363,-122.211,2030,3721,297000
-9406530160,10/17/14,4,2.5,1970,4558,2,0,0,3,8,1970,0,2005,0,98038,47.3627,-122.04,1980,5123,320000
-7853280370,11/14/14,5,4.5,4600,7810,2,0,0,3,9,3200,1400,2006,0,98065,47.5381,-121.86,4480,6324,805000
-2937300520,8/1/14,4,2.75,3110,6050,2,0,0,3,9,3110,0,2014,0,98052,47.705,-122.126,3590,6054,799990
-2738640310,4/9/15,4,2.5,3490,3677,2,0,0,3,9,2850,640,2007,0,98072,47.774,-122.162,3440,3600,680000
-6056100312,6/24/14,3,2.5,1600,1936,2,0,0,3,7,1600,0,2007,0,98108,47.5629,-122.297,1600,1936,395000
-2856100260,12/2/14,3,2.5,1960,3060,2,0,0,3,8,1960,0,2010,0,98117,47.6764,-122.389,1220,3060,732000
-2724049222,8/2/14,2,2.5,1000,1092,2,0,0,3,7,990,10,2004,0,98118,47.5419,-122.271,1330,1466,163800
-2724049222,12/1/14,2,2.5,1000,1092,2,0,0,3,7,990,10,2004,0,98118,47.5419,-122.271,1330,1466,220000
-6149700197,11/6/14,2,2,1500,1408,3,0,0,3,7,1500,0,1999,0,98133,47.7293,-122.343,1500,1245,308625
-3166900200,3/31/15,3,2.5,2424,5931,2,0,0,3,9,2424,0,2014,0,98042,47.3515,-122.134,2424,6036,375000
-5137800030,7/1/14,4,2.5,2303,3826,2,0,0,3,8,2303,0,2006,0,98092,47.3258,-122.165,2516,4500,300000
-3832080070,6/16/14,3,2.5,1880,6008,2,0,0,3,7,1880,0,2009,0,98042,47.3366,-122.052,2180,5185,284000
-9828702336,2/20/15,2,2,1210,740,2,0,0,3,8,780,430,2014,0,98112,47.6206,-122.3,1480,1171,610000
-7203180370,3/24/15,4,3.25,3720,6765,2,0,0,3,9,3720,0,2012,0,98053,47.688,-122.018,3100,6790,955000
-3901100030,6/27/14,4,2.75,3610,8580,2,0,0,3,9,3610,0,2014,0,98033,47.6706,-122.173,2360,8580,982000
-3126049500,5/22/14,3,1.5,1360,885,3,0,0,3,8,1360,0,2008,0,98103,47.6961,-122.349,1360,1167,359000
-6666830390,7/18/14,5,2.5,2590,7084,2,0,0,3,8,2590,0,2014,0,98052,47.7053,-122.113,3010,4823,779380
-1832100055,6/30/14,5,3.25,4390,11250,2,0,0,3,10,4390,0,2007,0,98040,47.5785,-122.225,2160,9249,1510000
-3629700030,2/23/15,3,3,2290,1407,2.5,0,0,3,8,1890,400,2014,0,98027,47.5446,-122.017,2230,1407,635000
-3630200960,8/26/14,4,3.75,3880,9979,2.5,0,0,3,10,3880,0,2007,0,98029,47.5408,-121.992,3130,6112,1060000
-7625702431,7/16/14,3,2.5,1350,874,3,0,0,3,8,1270,80,2006,0,98136,47.549,-122.387,1350,886,389500
-2895800390,8/7/14,5,2.5,2170,2752,2,0,0,3,8,2170,0,2014,0,98106,47.5165,-122.346,1800,2752,359800
-3753000030,5/27/14,3,3,1296,1051,3,0,0,3,8,1296,0,2009,0,98125,47.7175,-122.284,1520,1939,399950
-1773100926,6/3/14,3,3.25,1530,1602,2,0,0,3,8,1140,390,2013,0,98106,47.5555,-122.362,1450,1198,320000
-301400320,7/25/14,3,2.5,1489,3266,2,0,0,3,7,1489,0,2014,0,98002,47.3452,-122.217,1537,3273,255900
-6600060160,2/9/15,4,2.5,2130,4467,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.363,1830,8160,380000
-1861100267,9/18/14,3,2.75,1430,1521,2,0,0,3,9,1130,300,2009,0,98119,47.6353,-122.371,1930,2700,580000
-3438500036,4/29/15,5,3.75,2380,7268,1,0,0,3,8,1430,950,2008,0,98106,47.5571,-122.357,2040,10810,545000
-3869900036,7/25/14,3,2.5,1420,814,2,0,0,3,8,1140,280,2008,0,98136,47.5429,-122.387,1340,1382,451300
-1042700270,6/16/14,4,3.25,3450,6184,2,0,0,3,9,3450,0,2014,0,98074,47.6072,-122.054,3020,5369,852880
-6817750340,9/19/14,4,2.5,1914,3150,2,0,0,3,8,1914,0,2009,0,98055,47.43,-122.188,1714,3164,305000
-3448001412,4/30/15,2,1.5,988,1080,3,0,0,3,7,988,0,2007,0,98125,47.7123,-122.301,1128,1080,295000
-301400800,10/16/14,3,2.25,1584,2800,2,0,0,3,7,1584,0,2012,0,98002,47.3451,-122.214,1584,2800,261000
-7852090570,3/17/15,4,2.5,2630,5710,2,0,0,3,8,2630,0,2001,0,98065,47.5342,-121.876,2550,5500,560000
-7203180070,9/19/14,4,3.25,3520,5250,2,0,0,3,9,3520,0,2012,0,98053,47.6869,-122.019,3220,5781,795000
-5416510200,9/29/14,4,2.5,2380,4913,2,0,0,3,8,2380,0,2006,0,98038,47.3607,-122.038,2580,5311,384950
-1931300977,5/8/14,3,1.75,1410,1197,3,0,0,3,8,1410,0,2012,0,98103,47.6558,-122.348,1350,2512,500000
-7853390260,2/5/15,4,3.5,3220,5741,2,0,0,3,9,3220,0,2013,0,98065,47.5169,-121.886,2960,6534,640000
-9578500810,11/21/14,4,3.25,3266,5969,2,0,0,3,8,3266,0,2014,0,98023,47.2975,-122.35,3087,5169,418000
-6844700575,10/10/14,3,2,2550,4794,2,0,0,3,9,2550,0,2007,0,98115,47.6955,-122.29,1630,5100,799000
-3751601877,3/20/15,4,3.5,3828,18900,2.5,0,0,3,9,3828,0,2014,0,98001,47.2851,-122.277,2120,18900,552900
-3869900136,12/19/14,3,2.25,1670,1596,3,0,0,3,8,1670,0,2014,0,98136,47.5402,-122.387,1640,1310,539950
-8956200960,1/20/15,4,2.5,3056,11385,2,0,0,3,9,3056,0,2014,0,98001,47.2905,-122.264,2849,8607,524225
-2883200083,2/2/15,2,1.5,1000,1188,3,0,0,3,8,1000,0,2005,0,98115,47.6823,-122.327,2300,3500,424950
-2028700570,11/25/14,3,3.25,1530,1786,2,0,0,3,8,1200,330,2007,0,98117,47.6783,-122.366,1390,2900,560000
-4188300030,4/29/15,5,3,3490,6091,2,0,0,3,9,3490,0,2009,0,98011,47.7744,-122.225,2870,5932,715000
-7883603648,5/22/14,5,2.5,2760,6000,2,0,0,3,8,2760,0,2006,0,98108,47.5289,-122.321,1360,6000,300000
-3630080030,2/24/15,3,2.5,1440,2163,2,0,0,3,7,1440,0,2005,0,98029,47.554,-121.998,1440,2207,405000
-173000036,10/7/14,3,3,1370,1001,3,0,0,3,8,1370,0,2009,0,98133,47.7302,-122.355,1399,1151,327000
-2862500070,12/9/14,6,4,3180,6551,2,0,0,3,9,3180,0,2014,0,98074,47.6236,-122.023,3230,7602,859950
-7017200055,1/13/15,4,3,2720,7570,2,0,0,3,9,2720,0,2008,0,98133,47.7113,-122.349,1770,5705,560000
-3278611610,9/7/14,3,2.5,1800,2792,2,0,0,3,8,1800,0,2011,0,98126,47.5442,-122.371,1580,2617,379900
-4305500030,5/1/15,3,2.5,3220,6409,2,0,0,3,9,3220,0,2008,0,98059,47.4815,-122.127,3330,6231,625000
-255460240,4/23/15,3,2.5,2370,5321,2,0,0,3,8,2370,0,2014,0,98038,47.37,-122.019,2370,4357,398096
-1773100416,11/20/14,3,2.5,1410,1325,2,0,0,3,7,1180,230,2007,0,98106,47.5582,-122.363,1270,1282,315000
-2937300560,12/12/14,4,3.5,3640,6049,2,0,0,3,9,3640,0,2014,0,98052,47.7049,-122.125,3590,6104,939000
-9510860560,7/25/14,3,2.5,1920,3624,2,0,0,3,9,1920,0,2003,0,98052,47.6647,-122.087,1930,3533,674000
-1085621740,8/14/14,4,2.5,2267,3577,2,0,0,3,7,2267,0,2014,0,98092,47.3384,-122.18,2056,3577,306000
-4139300135,7/9/14,5,4.75,5780,17004,2,0,0,3,11,4260,1520,2006,0,98040,47.5802,-122.212,3460,10855,2320000
-5100400241,2/2/15,2,1,1131,1304,3,0,0,3,7,1131,0,2011,0,98115,47.6912,-122.313,1131,1992,394950
-2428100070,9/18/14,3,3.5,2940,6431,2,0,0,3,10,2940,0,2014,0,98075,47.5818,-122.047,2760,6695,914154
-726059485,11/17/14,3,2.5,2180,4533,2,0,0,3,7,2180,0,2010,0,98011,47.754,-122.215,2180,7347,496000
-9834201370,4/17/15,3,2.25,1400,1078,2,0,0,3,8,940,460,2009,0,98144,47.5701,-122.288,1420,1230,430100
-8564860270,7/8/14,4,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4759,-121.734,2680,5992,449990
-8564860270,3/30/15,4,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4759,-121.734,2680,5992,502000
-3395071580,3/11/15,3,2.5,1300,3612,2,0,0,3,7,1300,0,2005,0,98118,47.5328,-122.282,1390,2943,310000
-3682000060,3/23/15,4,3.5,2796,3520,2.5,0,0,3,8,2796,0,2013,0,98001,47.3427,-122.278,2040,5195,349950
-1646500810,9/19/14,2,1.75,1460,1500,2,0,0,3,8,1000,460,2008,0,98103,47.6853,-122.356,1440,4120,625000
-7768800160,8/27/14,4,3.5,4210,6481,2,0,3,3,9,3260,950,2014,0,98075,47.5765,-122.072,3920,5331,1050000
-3629980860,7/7/14,4,2.75,2330,3920,2,0,0,3,9,2330,0,2005,0,98029,47.5525,-121.99,2410,4063,680000
-629890070,5/15/14,4,3.5,3930,5680,2,0,1,3,9,2820,1110,2013,0,98027,47.5528,-122.076,3700,5816,828950
-7299600140,4/3/15,3,2.5,1608,4000,2,0,0,3,8,1608,0,2014,0,98092,47.2582,-122.198,2009,4983,274950
-1332700030,3/12/15,2,2.25,1610,1968,2,0,0,4,7,1610,0,1979,0,98056,47.5184,-122.196,1950,1968,293000
-3630220140,6/13/14,4,3.5,3200,3250,2,0,0,3,9,2670,530,2007,0,98029,47.5515,-122,3400,3663,795000
-301400240,9/22/14,4,2.5,1710,3500,2,0,0,3,7,1710,0,2014,0,98002,47.3448,-122.217,1710,3500,282900
-1233100710,4/16/15,5,3.75,3050,8972,2,0,0,3,9,3050,0,2014,0,98033,47.6819,-122.172,2750,8979,909950
-293070270,11/4/14,4,3.5,3560,4951,2,0,0,3,9,3560,0,2014,0,98074,47.6178,-122.055,3540,5500,922755
-3304030140,4/16/15,4,2.5,2650,8685,2,0,0,3,9,2650,0,2006,0,98001,47.344,-122.269,2650,7932,424000
-5095401070,4/23/15,3,2.5,3490,12410,2,0,0,3,8,2590,900,2009,0,98059,47.4714,-122.071,1740,14448,630000
-6358900070,12/22/14,4,3.25,4140,46173,2,0,0,3,9,4140,0,2007,0,98011,47.7647,-122.213,2060,43103,810000
-8141310030,7/30/14,3,2,1670,4441,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.975,1670,4622,256703
-7203140270,5/15/14,3,2.5,1720,3600,2,0,0,3,7,1720,0,2010,0,98053,47.6856,-122.013,1720,3600,386380
-8682320320,9/16/14,2,2,1510,3961,1,0,0,3,8,1510,0,2010,0,98053,47.709,-122.018,1510,3962,485000
-9542840340,2/11/15,3,2.25,1450,4040,2,0,0,3,7,1450,0,2010,0,98038,47.3665,-122.022,1610,4040,275000
-3943600140,3/2/15,4,2.5,1812,5026,2,0,0,3,8,1812,0,2011,0,98055,47.4513,-122.202,2440,6007,370000
-2902200240,6/10/14,2,2.25,1060,1208,2,0,0,3,8,940,120,2005,0,98102,47.6371,-122.327,1300,1169,499950
-3274800505,4/24/15,3,2.5,1600,3073,3,0,0,3,8,1600,0,2009,0,98144,47.5934,-122.298,1130,2921,502000
-8080400136,6/20/14,3,3.25,1530,1565,2,0,0,3,8,1280,250,2005,0,98122,47.6179,-122.312,1530,1381,654000
-6371000079,7/14/14,4,2.25,2070,1230,3,0,0,3,9,1500,570,2013,0,98116,47.5775,-122.41,1569,4802,575000
-5379801920,4/15/15,4,2.5,3630,7482,2,0,0,3,10,3630,0,2008,0,98188,47.4565,-122.287,1600,15716,500000
-8562770320,1/14/15,3,2.5,2140,4126,2,0,0,3,8,1960,180,2005,0,98027,47.5368,-122.073,2280,2615,554000
-3449000200,5/8/15,4,1.75,2010,12188,1,0,0,4,7,1150,860,1960,0,98059,47.5013,-122.147,1720,8475,360000
-255470030,4/29/15,4,2.75,2630,4501,2,0,0,3,8,2630,0,2015,0,98028,47.7748,-122.244,2380,4599,619990
-629650030,3/12/15,4,2.5,2233,6025,2,0,0,3,7,2233,0,2012,0,98001,47.2599,-122.256,1544,6036,317500
-3574770030,8/28/14,4,2.75,2990,4521,2,0,0,3,7,2990,0,2014,0,98028,47.7401,-122.226,2580,7539,564950
-7589700055,6/11/14,2,1.25,1240,2150,2,0,0,3,8,1240,0,2014,0,98117,47.6884,-122.374,1340,5289,545000
-3832050570,5/1/15,3,2.5,2230,5050,2,0,0,3,7,2230,0,2006,0,98042,47.3359,-122.055,2260,5050,333700
-5167000140,7/11/14,3,3.25,3700,2264,2,0,0,3,11,2280,1420,1998,0,98033,47.6653,-122.205,3930,2567,1480000
-9578060370,4/8/15,4,3,2290,5105,2,0,0,3,8,2290,0,2012,0,98028,47.7727,-122.237,2450,5105,530000
-2767604253,4/13/15,2,1.5,950,865,3,0,0,3,8,950,0,2006,0,98107,47.6714,-122.382,1290,1189,396000
-8562780800,10/16/14,2,1.75,1120,758,2,0,0,3,7,1120,0,2012,0,98027,47.5325,-122.072,1150,758,305000
-603000926,5/22/14,5,3.5,2420,4670,2,0,0,3,7,2420,0,2013,0,98118,47.5241,-122.285,1430,4468,380000
-6817750510,3/3/15,4,2.5,1714,3250,2,0,0,3,8,1714,0,2010,0,98055,47.429,-122.189,1714,3250,305000
-423059409,9/28/14,4,2.5,2230,5650,2,0,0,3,7,2230,0,2011,0,98056,47.5073,-122.168,1590,7241,440000
-522049074,6/27/14,4,3,2530,10000,2,0,0,3,7,2530,0,2013,0,98148,47.431,-122.335,1420,9898,459000
-1934800193,3/6/15,3,3.5,1550,1233,2,0,0,3,8,1160,390,2005,0,98122,47.6034,-122.309,1490,1539,530000
-847100046,4/16/15,4,2.75,3110,11225,2,0,0,3,8,3110,0,2012,0,98059,47.4865,-122.143,2610,8535,600000
-1250200693,7/18/14,3,3,2100,2409,2,0,0,3,8,1660,440,2008,0,98144,47.5973,-122.298,1900,2400,515000
-7338220200,4/8/15,4,2.5,2150,3721,2,0,0,3,8,2150,0,2007,0,98002,47.3363,-122.215,2150,3721,275000
-1982201596,1/12/15,3,1.75,1630,1404,2,0,0,3,8,1020,610,2014,0,98107,47.6646,-122.367,1420,1670,540000
-7853270830,8/5/14,3,2.5,2230,7934,2,0,0,3,7,2230,0,2005,0,98065,47.5439,-121.88,2310,4818,445000
-9352900200,4/7/15,3,2.5,1320,955,3,0,0,3,7,1320,0,2009,0,98106,47.5202,-122.357,1300,1003,285000
-8850000517,7/31/14,3,2.5,1590,1431,2,0,0,3,8,1060,530,2010,0,98144,47.5893,-122.309,1620,1548,480000
-3395070560,1/20/15,5,3.25,2610,3642,2,0,0,3,8,2080,530,2005,0,98118,47.535,-122.284,1750,3118,440000
-7211400576,2/11/15,3,2.5,1440,2500,2,0,0,3,7,1440,0,2008,0,98146,47.5123,-122.358,1440,5000,287450
-5169700132,4/1/15,4,2.5,2630,6283,2,0,0,3,9,2630,0,2006,0,98059,47.5079,-122.158,2630,7210,507950
-3204960200,6/19/14,3,3.5,3390,10078,2,0,0,3,10,3040,350,2012,0,98056,47.537,-122.185,3290,12332,750000
-8024200681,7/3/14,3,1.5,1400,1022,3,0,0,3,8,1400,0,2007,0,98115,47.6989,-122.317,1270,1205,425000
-9358000550,12/2/14,3,3.5,1900,2133,2,0,0,3,8,1520,380,2009,0,98126,47.5675,-122.369,1530,3264,420000
-7625702444,5/10/14,3,2.5,1350,1250,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,394950
-7853370260,7/11/14,4,3.25,3420,6752,2,0,2,3,9,3030,390,2012,0,98065,47.517,-121.876,3010,5172,635000
-522079068,5/6/15,3,2.5,2150,161607,2,0,0,3,7,1330,820,1995,0,98038,47.4178,-121.937,2400,207781,513000
-3023000200,5/5/15,4,2.5,2110,5306,2,0,0,3,8,2110,0,2012,0,98038,47.356,-122.057,2250,5306,380000
-3758900023,5/21/14,4,3.25,3810,8519,1,0,1,3,10,2680,1130,2007,0,98033,47.699,-122.207,3240,10748,1130000
-6204050160,6/8/14,5,3,2870,4369,2,0,0,3,8,2090,780,2007,0,98011,47.7449,-122.192,2640,4610,540000
-8562780200,4/27/15,2,2.25,1240,705,2,0,0,3,7,1150,90,2009,0,98027,47.5321,-122.073,1240,750,352499
-7702600949,5/5/15,4,3.5,3610,6345,2,0,0,3,9,2370,1240,2008,0,98058,47.4283,-122.102,3010,29279,603000
-3442000127,5/30/14,4,2.5,2310,5100,2,0,0,3,9,2310,0,2013,0,98177,47.7039,-122.36,1260,5100,685000
-255550070,6/26/14,4,3,1930,3031,1,0,0,3,7,1200,730,2006,0,98019,47.7457,-121.985,1930,2611,330675
-7165700200,6/5/14,3,3,1390,1080,2,0,0,3,7,1140,250,2006,0,98118,47.5323,-122.281,1450,1081,275000
-8096800270,7/16/14,3,2.5,1578,7340,2,0,0,3,7,1578,0,2010,0,98030,47.3771,-122.186,1850,7200,259950
-4046500160,7/29/14,3,2,1720,15000,1,0,0,3,9,1720,0,2011,0,98014,47.6927,-121.92,1900,15337,441000
-7882600326,12/3/14,5,3.75,4700,11237,2,0,0,3,10,2930,1770,2006,0,98033,47.6624,-122.197,3180,13140,1140000
-9122001230,12/5/14,3,3.5,1970,5079,2,0,0,3,8,1680,290,2007,0,98144,47.5816,-122.296,1940,6000,590000
-6373000187,9/18/14,3,2.25,1460,1353,2,0,0,3,8,1050,410,2012,0,98116,47.5774,-122.412,1690,3776,497000
-7967000200,11/21/14,3,2.5,1930,4000,2,0,0,3,8,1930,0,2014,0,98001,47.3518,-122.275,2050,4000,345500
-2902200241,6/23/14,3,2.25,1300,907,2,0,0,3,8,1000,300,2006,0,98102,47.6371,-122.327,1300,1169,562500
-291310390,9/4/14,3,2.25,1445,1087,2,0,0,3,7,1300,145,2005,0,98027,47.5339,-122.067,1410,1336,355000
-1604601572,9/5/14,2,2.25,860,696,2,0,0,3,9,860,0,2009,0,98118,47.5663,-122.29,1100,3000,345000
-259500270,5/5/14,3,2.5,3040,4535,2,0,0,3,9,3040,0,2007,0,98056,47.51,-122.185,2670,4666,478000
-3166900270,4/2/15,3,2.5,2424,6143,2,0,0,3,9,2424,0,2014,0,98030,47.3512,-122.135,2381,6036,391500
-2926049582,4/12/15,2,1.5,1084,3427,2,0,0,3,7,1084,0,1976,0,98125,47.7117,-122.326,1084,6250,265000
-3438503230,10/30/14,3,2.5,2510,5320,2,0,0,3,8,2510,0,2005,0,98106,47.5374,-122.357,1820,5736,395000
-2827100075,7/27/14,2,1.5,1220,1036,3,0,0,3,7,1220,0,2006,0,98133,47.7348,-122.347,1210,659,286308
-1702900624,5/27/14,2,2.25,1280,835,2,0,0,3,7,1080,200,2009,0,98118,47.5592,-122.284,1280,1246,370000
-2856100935,9/23/14,5,3.5,3740,5610,2,0,0,3,9,2860,880,2014,0,98117,47.6764,-122.392,1520,4590,1080000
-301401620,10/15/14,3,2.5,1852,4000,2,0,0,3,7,1852,0,2014,0,98002,47.3451,-122.209,2475,4000,298900
-3630200520,4/21/15,4,2.5,2580,5787,2,0,0,3,9,2580,0,2007,0,98029,47.5416,-121.994,2580,4410,775000
-323079065,6/24/14,4,3.5,3190,31450,2,0,0,3,9,3190,0,2010,0,98027,47.501,-121.902,3000,72745,790000
-7172200125,8/27/14,3,2.5,3400,5119,2,0,0,3,8,2300,1100,2014,0,98115,47.6843,-122.305,1740,5969,1050000
-3057000400,7/8/14,2,1.5,1090,2686,2,0,0,3,7,1090,0,1982,0,98034,47.717,-122.19,1160,2158,249000
-3022900070,9/29/14,3,2,2360,6145,1,0,0,3,8,2360,0,2011,0,98030,47.3564,-122.198,2304,5880,348000
-9406710060,11/14/14,5,2.5,2460,5604,2,0,0,3,8,2460,0,2011,0,98038,47.3658,-122.037,2210,6395,358000
-3353401070,6/25/14,5,2.5,2025,7760,2,0,0,3,7,2025,0,2007,0,98001,47.2671,-122.256,1664,9000,260000
-7853280570,6/4/14,4,3,4410,5104,2,0,0,3,9,3400,1010,2006,0,98065,47.5392,-121.861,4390,5537,765000
-6192410550,5/28/14,3,2.5,2810,5400,2,0,0,3,9,2810,0,2005,0,98052,47.7065,-122.118,2870,5400,739000
-8562710520,5/5/14,5,3.5,4490,6000,2,0,0,3,10,3200,1290,2006,0,98027,47.5396,-122.073,4530,6000,890000
-1543000060,6/7/14,4,2.5,3070,6432,2,0,0,3,9,3070,0,2006,0,98055,47.4487,-122.205,2910,5106,462000
-9536600810,7/8/14,4,2.5,1984,32400,1,0,0,3,8,1564,420,1962,0,98198,47.36,-122.318,1390,9152,380000
-5428000070,5/11/15,5,3.5,4750,8234,2,0,2,3,10,3350,1400,2013,0,98198,47.3574,-122.318,2160,14496,770000
-2309000060,8/18/14,4,3.25,2760,4104,2,0,0,3,8,1900,860,2014,0,98056,47.5286,-122.187,2760,5186,641000
-8043700105,4/17/15,4,4,4360,8175,2.5,1,4,3,10,3940,420,2007,0,98008,47.5724,-122.104,2670,8525,2300000
-7792000140,5/4/15,4,2.5,3060,27251,1.5,0,0,3,8,3060,0,2008,0,98022,47.1967,-121.966,1760,27251,369000
-5244801550,9/16/14,4,3,2770,2650,2,0,0,3,9,2180,590,2014,0,98109,47.6435,-122.354,1820,2960,1110000
-9310300160,8/28/14,5,2.5,2990,9240,2,0,0,3,8,2990,0,2015,0,98133,47.7384,-122.348,1970,18110,357000
-6762700376,11/26/14,3,2.75,1540,1251,2,0,0,3,8,1230,310,2002,0,98102,47.6298,-122.321,1540,1287,650000
-1972200428,6/25/14,3,2.5,1400,1312,3.5,0,0,3,8,1400,0,2007,0,98103,47.6534,-122.355,1350,1312,563500
-7304301231,6/17/14,3,2.5,1680,2229,2,0,0,3,7,1680,0,2007,0,98155,47.7484,-122.322,1230,9300,345000
-9512200140,7/25/14,3,2,2260,7163,1,0,0,3,9,2260,0,2012,0,98058,47.4593,-122.136,2340,6730,479950
-7853400260,5/13/14,4,3.5,3400,5196,2,0,0,3,9,3400,0,2012,0,98065,47.5169,-121.884,3170,5260,660000
-97600140,7/29/14,4,2.5,2930,5000,2,0,0,3,9,2760,170,2007,0,98006,47.5424,-122.12,3230,5778,800000
-2822059360,7/24/14,3,2,1239,6036,1,0,0,3,7,1239,0,2009,0,98030,47.3689,-122.175,2060,5746,253101
-6056110200,9/29/14,3,3.5,2100,2479,2,0,0,3,9,1450,650,2011,0,98118,47.562,-122.292,1800,2457,555000
-6300000226,6/26/14,4,1,1200,2171,1.5,0,0,3,7,1200,0,1933,0,98133,47.7076,-122.342,1130,1598,240000
-6300000226,5/4/15,4,1,1200,2171,1.5,0,0,3,7,1200,0,1933,0,98133,47.7076,-122.342,1130,1598,380000
-9524100196,11/17/14,2,1.5,680,772,2,0,0,3,7,680,0,2005,0,98103,47.695,-122.343,690,1059,239000
-3013300685,3/18/15,4,3.25,2690,3995,2,0,0,3,9,2060,630,2014,0,98136,47.532,-122.384,1810,4590,760000
-2619950070,8/26/14,4,2.5,2750,7200,2,0,0,3,8,2750,0,2011,0,98019,47.7327,-121.966,2750,7200,430000
-7203110240,5/22/14,3,2.5,2450,4332,2,0,0,3,8,2450,0,2010,0,98053,47.6942,-122.016,2450,4154,660000
-7694200350,8/20/14,4,2.5,2620,4050,2,0,0,3,8,2620,0,2014,0,98146,47.5017,-122.34,2030,3944,399963
-7600136,7/18/14,2,2,1130,1148,2,0,0,3,9,800,330,2007,0,98122,47.6023,-122.314,1350,1201,411000
-1442880160,6/27/14,4,2.75,2790,5527,2,0,0,3,8,2790,0,2014,0,98045,47.4827,-121.773,2620,5509,483453
-3277801580,11/10/14,3,2,1820,1357,3,0,0,3,9,1820,0,2014,0,98126,47.5432,-122.376,1710,1372,469950
-1442880640,7/15/14,4,2.75,2910,7467,2,0,0,3,8,2910,0,2013,0,98045,47.4841,-121.772,2790,7868,504058
-3845101070,4/28/15,4,2.5,2568,5000,2,0,0,3,9,2568,0,2014,0,98092,47.2596,-122.194,2547,4500,425996
-6791900260,7/8/14,4,2.75,3090,5859,2,0,0,3,9,3090,0,2010,0,98074,47.6057,-122.047,2960,5250,760005
-9828702339,4/20/15,2,2,1460,1085,2,0,0,3,8,950,510,2014,0,98112,47.6205,-122.299,1580,1202,699999
-2255500125,7/16/14,3,2.5,2010,2263,2,0,0,3,8,1340,670,2014,0,98122,47.6088,-122.311,1500,2670,749950
-5541300135,7/8/14,4,2.5,2610,5140,2,0,0,3,8,2610,0,2006,0,98103,47.6951,-122.346,1190,5101,674600
-4083306616,2/24/15,2,1.5,960,1000,2,0,0,3,8,920,40,2008,0,98103,47.6489,-122.335,1200,1297,450000
-8096800260,4/7/15,3,2.5,1528,7616,2,0,0,3,7,1528,0,2011,0,98030,47.3774,-122.186,1850,7340,272000
-2997800024,7/14/14,2,1.5,1310,1264,2,0,0,3,8,1120,190,2006,0,98106,47.5772,-122.409,1330,1265,450000
-952005863,5/5/15,3,2.25,1760,2122,3,0,0,3,9,1760,0,2015,0,98116,47.5633,-122.385,1420,1618,643950
-7772850060,11/10/14,3,2.5,1420,3542,2,0,0,3,8,1310,110,2007,0,98133,47.7731,-122.343,1180,1622,290000
-6130500070,10/8/14,3,2.5,1650,2082,3,0,0,3,8,1650,0,2007,0,98133,47.7108,-122.332,1650,1965,378000
-8682300400,6/19/14,3,2.5,2320,6775,1,0,0,3,8,2320,0,2008,0,98053,47.7158,-122.016,1680,4750,728050
-8956200990,4/26/15,4,2.5,2628,11466,2,0,0,3,9,2628,0,2014,0,98001,47.2904,-122.264,2849,10909,499160
-9532000070,12/1/14,4,2.5,2520,4831,2,0,0,3,8,2520,0,2009,0,98072,47.7711,-122.168,2430,3937,536000
-7570050070,2/5/15,5,3.5,2880,5000,2,0,0,3,8,2260,620,2012,0,98038,47.3455,-122.023,2590,4800,419900
-946000295,12/10/14,3,2.25,1440,1362,3,0,0,3,7,1440,0,2014,0,98117,47.6908,-122.365,1180,2603,469000
-3831250350,4/8/15,3,2.5,2185,6042,2,0,0,3,9,2185,0,2009,0,98030,47.3573,-122.202,2297,5876,374000
-6056100160,7/28/14,4,1.5,1500,2106,2,0,0,3,7,1500,0,2014,0,98108,47.5669,-122.297,1490,2175,182568
-1402970070,6/26/14,3,2.5,1769,7324,2,0,0,3,9,1769,0,2012,0,98092,47.3307,-122.188,2502,6017,334888
-2524059267,9/17/14,4,4,3650,18223,2,0,3,3,9,3330,320,2013,0,98006,47.5442,-122.116,3220,11022,799900
-8091670030,5/12/14,4,2.5,2160,6223,2,0,0,3,8,2160,0,2010,0,98038,47.3494,-122.042,2160,5555,383000
-1825079046,12/18/14,3,2.5,1820,374616,2,0,0,3,7,1820,0,1999,0,98014,47.6539,-121.959,1870,220654,580000
-255450390,7/7/14,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3706,-122.017,2370,4200,351999
-9301300270,2/23/15,3,3,3180,2758,2,0,2,3,11,2240,940,2008,0,98109,47.6377,-122.342,2420,2758,1330000
-9347300160,1/25/15,3,2.5,1780,4077,2,0,0,3,8,1780,0,2011,0,98038,47.3568,-122.056,1970,4077,312000
-710600070,9/12/14,4,3.5,2650,3127,2,0,0,3,8,2230,420,2011,0,98027,47.5381,-122.046,2330,3137,674950
-5556300116,12/29/14,5,2.75,3300,7560,2,0,0,3,10,3300,0,2007,0,98052,47.6467,-122.118,3150,8580,1110000
-1324300126,3/13/15,2,2.5,1160,1219,3,0,0,3,8,1160,0,2007,0,98107,47.6543,-122.358,1320,2800,415000
-9279700013,7/10/14,3,3,3460,5353,2,0,0,3,10,2850,610,2007,0,98116,47.5858,-122.393,2460,6325,1250000
-3336500140,9/19/14,3,2.5,1390,2450,2,0,0,3,7,1390,0,2009,0,98118,47.5298,-122.269,1390,2450,208800
-2767604212,10/29/14,2,2.5,1260,1131,3,0,0,3,8,1260,0,2006,0,98107,47.6715,-122.384,1490,2500,452000
-6719600030,4/22/15,5,2.75,2940,5225,2,0,0,3,8,2760,180,2010,0,98052,47.6879,-122.107,3090,6261,837000
-3204930510,2/24/15,5,3.5,3190,4247,2,0,0,3,8,2430,760,2013,0,98052,47.7016,-122.103,2580,3989,780000
-7582700075,10/2/14,4,3.5,3930,6120,2,0,0,3,10,3310,620,2007,0,98105,47.6646,-122.28,3390,6120,1490000
-191100435,9/26/14,5,3.75,3570,10125,2,0,0,3,10,3570,0,2014,0,98040,47.5639,-122.223,1760,10125,1600000
-255450030,9/18/14,3,2.5,2420,4725,2,0,0,3,8,2420,0,2014,0,98038,47.371,-122.018,2370,4200,369946
-9476200710,6/8/14,3,2.75,3400,7200,2,0,2,3,9,2470,930,2009,0,98056,47.4878,-122.191,1580,8676,530000
-1329300070,3/20/15,4,2.5,2478,6079,2,0,0,3,8,2478,0,2012,0,98030,47.3524,-122.175,2279,6079,386000
-357000135,2/18/15,4,2.5,3070,7830,2,0,2,3,11,1970,1100,2009,0,98144,47.593,-122.291,2440,4682,1900000
-7203600560,9/11/14,4,3.5,3200,7605,2,0,2,3,9,2500,700,2013,0,98198,47.3443,-122.327,2240,4416,735000
-715010140,10/2/14,5,3.25,5790,12739,2,0,3,3,10,4430,1360,2014,0,98006,47.538,-122.114,5790,13928,1750000
-3869900138,2/23/15,3,2.25,1590,926,3,0,0,3,8,1590,0,2014,0,98136,47.5402,-122.387,1640,1321,489950
-2114700374,4/13/15,3,3,1730,1442,2,0,0,3,8,1440,290,2008,0,98106,47.5344,-122.348,1370,1524,357500
-9264450550,5/20/14,4,2.5,2303,3680,2,0,0,3,8,2303,0,2013,0,98001,47.2599,-122.283,2303,3760,329995
-3862710200,9/25/14,3,2.5,1790,3754,2,0,0,3,8,1790,0,2013,0,98065,47.534,-121.841,1800,3393,414000
-291310310,12/10/14,3,3.5,2490,3517,2,0,0,3,8,1720,770,2005,0,98027,47.5341,-122.067,1600,2378,533500
-3814900260,3/5/15,4,2.5,2669,5385,2,0,0,3,9,2669,0,2014,0,98092,47.3262,-122.165,2669,4645,402395
-8562790710,4/10/15,4,3.25,2610,2552,2,0,0,3,10,2160,450,2008,0,98027,47.5322,-122.076,2610,2664,725000
-3425069117,8/28/14,6,5.25,6160,27490,2,0,0,3,11,4040,2120,2007,0,98074,47.6094,-122.023,4225,9100,1280000
-2895800640,9/17/14,2,1.75,1290,1493,2,0,0,3,8,1290,0,2014,0,98106,47.5171,-122.346,1410,1875,239800
-3438500253,9/4/14,5,3.5,3560,5008,2,0,0,3,8,2810,750,2013,0,98106,47.5542,-122.359,2910,5026,616950
-3630200340,10/1/14,4,3.25,4360,6000,2,0,3,3,11,3400,960,2007,0,98027,47.5408,-121.994,4310,6000,1260000
-2770601769,6/17/14,3,2.25,1230,1238,2,0,0,3,8,1080,150,2009,0,98199,47.6519,-122.384,1230,953,435000
-2225069036,8/15/14,4,3.25,3640,60086,2,0,0,3,10,3640,0,2005,0,98074,47.6328,-122.016,2900,51721,925000
-9525600030,4/28/15,2,2.5,1780,2493,3,0,0,3,8,1780,0,1981,0,98107,47.6704,-122.358,2050,4400,631500
-993002108,3/30/15,3,1.5,1140,1069,3,0,0,3,8,1140,0,2005,0,98103,47.6907,-122.342,1230,1276,399995
-993000327,5/6/14,3,2,1270,1320,3,0,0,3,8,1270,0,2006,0,98103,47.6937,-122.342,1370,1320,369950
-1523059239,4/23/15,5,3.5,2780,3583,2,0,0,3,8,2180,600,2005,0,98059,47.4879,-122.152,2640,3850,475000
-7967000270,11/25/14,4,2.5,1912,5000,2,0,0,3,8,1912,0,2012,0,98001,47.3511,-122.275,2020,5000,353000
-7137800310,2/25/15,4,2.5,2300,9690,2,0,0,3,8,2300,0,2006,0,98023,47.2793,-122.352,1200,9085,329950
-2211300260,3/13/15,3,2.5,2828,4050,2,0,0,3,8,2828,0,2013,0,98030,47.382,-122.197,2513,4507,367000
-8956200070,9/5/14,4,2.5,2425,9017,2,0,0,3,9,2425,0,2013,0,98001,47.3003,-122.263,2725,7019,447500
-1257201420,7/9/14,4,3.25,3730,4560,2,0,0,3,9,2760,970,2015,0,98103,47.6725,-122.33,1800,4560,595000
-1523300140,9/4/14,1,1,730,1942,1,0,0,3,7,730,0,2009,0,98144,47.5943,-122.299,1020,2044,325000
-9831200186,2/3/15,2,2.5,1990,1756,3,0,0,3,9,1780,210,2005,0,98102,47.6264,-122.323,1955,1438,690000
-7660100238,11/11/14,3,2.5,1300,812,2,0,0,3,8,880,420,2008,0,98144,47.5893,-122.317,1300,824,329950
-5381000477,1/28/15,4,2.5,2560,7492,2,0,0,3,8,2560,0,2014,0,98188,47.4467,-122.287,1260,11541,399500
-207700180,1/21/15,5,2.5,2450,5047,2,0,0,3,8,2450,0,2007,0,98011,47.7724,-122.168,2450,4478,555000
-5288200072,10/1/14,2,1.5,1440,725,2,0,0,3,8,1100,340,2011,0,98126,47.5607,-122.378,1440,4255,427000
-9524100322,10/20/14,3,2.25,1140,1557,3,0,0,3,8,1140,0,2007,0,98103,47.6947,-122.342,1140,1245,375000
-1732800184,5/8/14,2,1.5,1110,957,2,0,0,3,8,930,180,2005,0,98119,47.6319,-122.362,1680,1104,499000
-1425069103,7/18/14,3,2.5,2620,43832,2,0,0,3,8,2620,0,2013,0,98053,47.655,-122.009,2620,120686,750000
-8165500790,12/29/14,3,2.5,1690,1200,2,0,0,3,8,1410,280,2014,0,98106,47.5388,-122.367,1740,1664,336900
-7658600081,9/19/14,2,2.75,1950,1610,3,0,0,3,8,1950,0,2009,0,98144,47.5925,-122.302,910,1745,555000
-1245003268,11/6/14,4,3.5,3530,8126,2,0,0,3,10,3530,0,2007,0,98033,47.6847,-122.2,2660,8126,1280000
-8010100220,10/14/14,4,3.5,3310,4684,2,0,0,3,9,2290,1020,2014,0,98116,47.579,-122.389,1850,4750,999950
-7974200452,6/25/14,5,3,2620,5477,2,0,0,3,10,2620,0,2009,0,98115,47.6804,-122.288,1680,5217,975000
-8943600360,2/19/15,3,2.25,1350,3582,2,0,0,3,8,1350,0,2010,0,98031,47.4214,-122.191,1940,3860,299000
-3026059361,4/17/15,2,2.5,1741,1439,2,0,0,3,8,1446,295,2007,0,98034,47.7043,-122.209,2090,10454,479000
-6130500120,4/17/15,3,2.5,1650,2201,3,0,0,3,8,1650,0,2007,0,98133,47.7108,-122.333,1650,1965,428000
-3575305485,8/29/14,3,2.5,1890,6500,2,0,0,3,7,1890,0,2012,0,98074,47.6225,-122.058,2340,7500,409000
-666000142,3/26/15,3,3,1950,1833,3,0,0,3,9,1610,340,2009,0,98004,47.6078,-122.202,2040,2131,798500
-7853280620,12/12/14,4,3.5,4490,5805,2,0,0,3,9,3390,1100,2006,0,98065,47.5389,-121.86,4410,6299,689000
-8946390040,5/8/14,6,2.25,3206,5793,2,0,0,3,7,3206,0,2012,0,98032,47.369,-122.287,2527,5804,375000
-5416300230,7/17/14,4,3.5,4130,77832,2,0,2,3,10,4130,0,2011,0,98042,47.3229,-122.045,4130,87476,775000
-1604730150,10/14/14,5,3,2800,5700,2,0,0,3,8,2800,0,2014,0,98059,47.4969,-122.145,2910,5349,639983
-8669180150,3/26/15,4,3,1984,4419,2,0,0,3,7,1984,0,2010,0,98002,47.3514,-122.213,2440,4418,300000
-1081330180,12/22/14,4,2.5,2750,11830,2,0,0,3,9,2750,0,2014,0,98059,47.4698,-122.121,2310,11830,627000
-2309710230,4/15/15,3,2.75,1740,5757,1,0,0,3,7,1740,0,2010,0,98022,47.1941,-121.979,2380,5647,275000
-2895800610,9/26/14,4,2.25,1800,2752,2,0,0,3,8,1800,0,2014,0,98106,47.5167,-122.346,1650,2752,352800
-3362400092,3/12/15,3,2.25,1540,1005,3,0,0,3,8,1540,0,2008,0,98103,47.6828,-122.346,1510,1501,565000
-3052700385,4/14/15,4,2.25,2030,2222,2,0,0,3,9,1610,420,2015,0,98117,47.679,-122.375,1420,2222,765000
-2738640040,4/9/15,4,2.5,3310,4839,2,0,0,3,9,3310,0,2007,0,98072,47.773,-122.161,3240,5280,644000
-8024200674,2/23/15,3,1.5,1270,1416,3,0,0,3,8,1270,0,2007,0,98115,47.6988,-122.317,1270,1413,461000
-3353400092,12/23/14,5,2.5,2406,7093,2,0,0,3,8,2406,0,2006,0,98001,47.2615,-122.252,1767,7093,270500
-6003500749,7/1/14,2,2.25,1540,965,3,0,0,3,9,1540,0,2007,0,98122,47.6181,-122.318,1410,964,640000
-8956200530,8/5/14,4,2.5,2820,6983,2,0,0,3,9,2820,0,2013,0,98001,47.2958,-122.265,2597,7222,457000
-133000271,12/1/14,5,2.5,2540,5100,2,0,0,3,7,2540,0,2014,0,98168,47.5123,-122.316,1400,9440,355000
-6749700063,12/15/14,2,2.25,1230,989,3,0,0,3,8,1230,0,2007,0,98103,47.6975,-122.348,1230,1223,356000
-3278613060,8/5/14,4,2.5,1900,2766,2,0,0,3,8,1900,0,2014,0,98106,47.543,-122.368,1900,2604,425000
-7708200880,9/23/14,5,2.75,2920,6327,2,0,0,3,8,2920,0,2007,0,98059,47.4935,-122.145,2520,5026,562500
-2767600673,7/1/14,3,2.5,1450,1053,2,0,0,3,8,940,510,2008,0,98107,47.6754,-122.374,1410,1080,460000
-7299810040,4/6/15,4,3,5370,69848,2,0,0,3,10,3500,1870,2005,0,98042,47.3166,-122.046,4443,94403,790000
-993000308,3/18/15,3,2,1270,1333,3,0,0,3,8,1270,0,2006,0,98103,47.6933,-122.342,1330,1333,401000
-3364900040,8/28/14,3,2.5,2550,5100,2,0,0,3,9,2550,0,2014,0,98115,47.6757,-122.326,1250,4080,1100000
-9578090180,4/3/15,4,3,3070,7150,2,0,0,3,9,3070,0,2007,0,98052,47.7079,-122.107,3200,6984,850000
-9542840120,7/2/14,3,2.25,1450,4050,2,0,0,3,7,1450,0,2010,0,98038,47.367,-122.019,1660,3800,274500
-3860900035,4/15/15,5,3.5,4230,16526,2,0,0,3,10,4230,0,2008,0,98004,47.5933,-122.199,3000,12362,1940000
-7202300040,8/4/14,4,2.5,3480,6262,2,0,0,3,9,3480,0,2003,0,98053,47.6857,-122.045,3490,6629,808000
-1773100972,5/15/14,3,2.25,1490,974,2,0,0,3,7,1220,270,2009,0,98106,47.5567,-122.363,1490,1283,312000
-3626039424,6/16/14,3,2.25,1200,1400,3,0,0,3,8,1200,0,2005,0,98133,47.7046,-122.357,1370,6552,320000
-3175200220,1/13/15,3,2.5,2150,4332,2,0,0,3,8,2150,0,2013,0,98019,47.7373,-121.969,2140,4332,410000
-7852120120,6/20/14,3,3.5,3690,8837,2,0,0,3,10,3690,0,2001,0,98065,47.5402,-121.876,3690,9585,725000
-7813500040,10/15/14,4,2.5,1900,3301,2,0,0,3,7,1900,0,2007,0,98178,47.489,-122.249,1960,3379,335000
-7242800040,1/20/15,4,3.25,1690,1321,2,0,0,3,8,1320,370,2014,0,98052,47.678,-122.117,3080,4558,519990
-1442880650,6/10/14,4,2.75,2790,8853,2,0,0,3,8,2790,0,2013,0,98045,47.4842,-121.772,2790,8092,533112
-3355400242,10/28/14,3,2,1936,6612,2,0,0,3,7,1936,0,2014,0,98001,47.2602,-122.246,1620,21600,274900
-8562780540,12/22/14,2,2.25,1150,711,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.07,1150,748,325000
-923049203,5/29/14,4,2.5,2040,22653,2,0,0,3,7,2040,0,2011,0,98168,47.4991,-122.299,2020,20502,350000
-3578600141,9/23/14,4,2.5,2470,7539,2,0,0,3,9,2470,0,2006,0,98028,47.7407,-122.226,2580,7539,550000
-53500450,3/9/15,4,2.5,1890,4158,2,0,0,3,8,1890,0,2014,0,98042,47.343,-122.056,2720,4549,311850
-1934800180,2/10/15,3,2.5,1626,1583,2.5,0,0,3,8,1419,207,2007,0,98122,47.6031,-122.309,1400,1583,526000
-3023000210,10/1/14,4,2.5,2250,5306,2,0,0,3,8,2250,0,2012,0,98038,47.356,-122.057,2250,5306,375000
-1773100967,2/23/15,3,2.25,1350,1234,2,0,0,3,7,1160,190,2007,0,98106,47.5565,-122.363,1420,1234,299999
-2767704777,9/19/14,3,2.5,1460,1238,2,0,0,3,8,1200,260,2008,0,98107,47.6719,-122.374,1280,1257,436000
-1085621960,12/12/14,3,2.5,2056,3564,2,0,0,3,7,2056,0,2014,0,98092,47.338,-122.181,2056,3577,303000
-2771602174,7/1/14,2,2.5,1160,1458,2,0,0,3,8,1040,120,2012,0,98119,47.6384,-122.373,1650,2311,525000
-6762700452,6/13/14,3,3,1384,1287,2,0,0,3,8,1144,240,2006,0,98102,47.6295,-122.32,1570,1288,575000
-5695000142,10/24/14,2,1.5,1100,1107,3,0,0,3,8,1100,0,2008,0,98103,47.6584,-122.35,1110,2750,420000
-9578140180,6/11/14,3,2.5,2456,7566,2,0,0,3,8,2456,0,2012,0,98023,47.297,-122.351,2478,7212,329950
-2124069115,10/21/14,4,4.25,4500,215186,2,0,3,3,11,2630,1870,2009,0,98029,47.559,-122.045,3030,25447,1830000
-3864000120,4/8/15,4,3.25,3780,10099,1,0,1,3,11,2240,1540,2006,0,98006,47.5508,-122.192,3120,10669,1180000
-2768200212,9/11/14,2,2.5,1320,1157,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.363,1550,1519,499950
-7852070210,5/27/14,4,3,5940,11533,2,0,4,3,11,4950,990,2004,0,98065,47.5443,-121.87,4240,12813,1150000
-7853361210,2/18/15,3,2,1650,5027,1.5,0,0,3,7,1650,0,2009,0,98065,47.515,-121.874,2430,6000,400000
-8141310040,6/27/14,3,3,1670,4440,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.975,1670,4622,246950
-6852700097,8/6/14,3,3.25,1610,1275,2,0,0,3,8,1220,390,2005,0,98102,47.6236,-122.318,1750,3000,630000
-7708210040,9/12/14,5,2.75,3370,10315,2,0,0,3,9,3370,0,2006,0,98059,47.4893,-122.146,3010,8296,561000
-53500760,12/8/14,4,2.5,2660,4082,2,0,0,3,7,2660,0,2010,0,98042,47.3414,-122.055,2390,4876,287000
-3528900771,3/31/15,3,3.25,1690,1473,2,0,0,3,8,1380,310,2008,0,98109,47.6397,-122.345,1670,2594,600000
-9126100813,8/28/14,3,2.25,1620,1062,3,0,0,3,8,1620,0,2014,0,98122,47.6051,-122.304,1560,1728,490000
-3679400503,3/30/15,3,1.75,1300,958,2,0,0,3,7,840,460,2011,0,98108,47.5677,-122.314,1340,1254,330000
-1760650210,12/1/14,4,2.5,1610,4052,2,0,0,3,7,1610,0,2013,0,98042,47.3603,-122.081,2110,4034,286950
-2652501565,4/23/15,3,3.25,3530,4920,2,0,0,3,9,2660,870,2015,0,98109,47.641,-122.357,1900,4200,1550000
-1237500577,2/12/15,4,2.5,3550,8618,2,0,0,3,10,3550,0,2007,0,98052,47.6776,-122.161,1310,9746,880000
-6382500084,10/13/14,3,3,1730,1755,3,0,0,3,8,1730,0,2014,0,98117,47.6944,-122.377,1830,1804,577450
-3023000410,4/30/15,5,2.75,2400,4900,2,0,0,3,8,2400,0,2011,0,98038,47.355,-122.057,2110,5696,405000
-2767601752,7/7/14,3,2.5,1420,1237,3,0,0,3,8,1420,0,2014,0,98107,47.674,-122.387,1510,2501,510000
-2771604196,8/12/14,2,1.5,1220,1120,2.5,0,0,3,8,1110,110,2008,0,98199,47.6374,-122.388,2010,3175,465000
-1778500620,7/7/14,4,2.25,2360,4000,2,0,0,3,9,2360,0,2013,0,98112,47.6198,-122.289,3040,4400,1300000
-1823059241,4/8/15,4,3.5,3990,11270,2,0,3,3,9,2930,1060,2007,0,98055,47.488,-122.225,1980,11328,609000
-9267200062,9/11/14,3,2.5,1260,1211,3,0,0,3,8,1260,0,2004,0,98103,47.6969,-122.343,1270,1211,336000
-3278606110,1/8/15,3,2.5,1580,2407,2,0,0,3,8,1580,0,2013,0,98126,47.5455,-122.368,1580,2212,375000
-1657530180,12/4/14,3,2.5,1760,2688,2,0,0,3,7,1760,0,2005,0,98059,47.4903,-122.166,1760,2329,294500
-2754700035,11/25/14,5,3.5,3420,4216,2,0,0,3,9,2520,900,2008,0,98115,47.6799,-122.304,1420,4500,925000
-2568200120,12/15/14,5,2.75,2870,6593,2,0,0,3,9,2870,0,2006,0,98052,47.7075,-122.102,3150,6593,730000
-6601200040,9/19/14,4,2.5,1934,5677,2,0,0,3,8,1934,0,2013,0,98001,47.2602,-122.252,1919,5049,280000
-2767601750,8/15/14,3,1.5,1220,962,3,0,0,3,8,1220,0,2014,0,98107,47.674,-122.387,1510,2501,500000
-7853350220,3/24/15,3,2.75,2450,5750,2,0,0,3,9,2450,0,2013,0,98065,47.5439,-121.862,3200,8036,605000
-6163900628,5/16/14,3,3.25,1860,1787,3,0,0,3,8,1860,0,2007,0,98155,47.7563,-122.316,1830,1787,379950
-1689401526,3/23/15,3,2.5,1500,1119,3,0,2,3,7,1110,390,2008,0,98109,47.6327,-122.346,1500,1057,605000
-8725950360,5/1/15,2,1.75,1570,1108,3,0,0,3,9,1570,0,2007,0,98004,47.6215,-122.2,1940,1160,720000
-9826700697,11/3/14,3,2,1280,960,2,0,0,3,9,1040,240,2014,0,98122,47.602,-122.311,1280,1173,549900
-9578500180,1/21/15,3,2.5,3192,5653,2,0,0,3,8,3192,0,2014,0,98023,47.2956,-122.35,3000,5134,427000
-9826700707,10/28/14,3,2.5,1690,1479,3,0,0,3,8,1420,270,2005,0,98122,47.6022,-122.311,1280,1253,492000
-8138870530,5/5/14,2,2.5,1590,1426,2,0,0,3,8,1590,0,2014,0,98029,47.5441,-122.013,1590,1426,419190
-4188300180,11/12/14,3,2.5,2870,7288,2,0,0,3,9,2870,0,2012,0,98011,47.7745,-122.225,2870,5998,650000
-5416510530,11/24/14,4,2.5,2580,4818,2,0,0,3,8,2580,0,2005,0,98038,47.3607,-122.038,2570,5386,379950
-4181200540,7/28/14,4,2.75,1830,3420,2,0,0,3,8,1830,0,2012,0,98198,47.366,-122.308,1813,3420,269800
-2222059154,8/13/14,4,2.5,2927,6000,2,0,0,3,7,2927,0,2011,0,98042,47.3737,-122.16,2533,6000,407000
-8032700072,4/15/15,3,1.5,1320,1250,3,0,0,3,8,1320,0,2008,0,98103,47.6536,-122.341,1560,1694,580000
-7203140220,1/16/15,3,2.5,1720,3581,2,0,0,3,7,1720,0,2011,0,98053,47.6861,-122.013,1720,3600,389700
-1278000210,3/11/15,2,1,828,4524,1,0,0,3,6,828,0,1968,2007,98001,47.2655,-122.244,828,5402,110000
-6058600220,7/31/14,3,1.5,1040,1264,2,0,0,3,9,900,140,2015,0,98144,47.5951,-122.301,1350,3000,230000
-1442880610,8/29/14,4,2.75,2790,6685,2,0,0,3,8,2790,0,2014,0,98045,47.4838,-121.773,2790,6444,533380
-3679400484,9/18/14,3,2.5,1410,1332,2,0,0,3,7,960,450,2014,0,98108,47.5683,-122.314,1410,1343,295500
-3825310180,10/7/14,4,4.5,4040,8400,2,0,0,3,9,3220,820,2006,0,98052,47.7067,-122.131,3940,8400,860000
-3630220180,7/8/14,4,3.5,3370,3634,2,0,0,3,9,2750,620,2007,0,98029,47.5519,-122.001,3200,3650,812000
-3336500180,6/5/14,3,2.5,1660,3990,2,0,0,3,7,1660,0,2009,0,98118,47.5298,-122.268,1670,4050,324500
-2781270530,3/26/15,2,1.75,910,2550,1,0,0,3,6,910,0,2004,0,98038,47.3494,-122.022,1310,2550,193000
-993001563,5/22/14,3,2.25,1280,959,3,0,0,3,8,1280,0,2005,0,98103,47.6914,-122.343,1130,1126,355000
-9578060540,6/14/14,4,2.75,2360,4924,2,0,0,3,8,2360,0,2008,0,98028,47.7737,-122.235,2360,4670,525000
-2222059052,2/27/15,3,2.5,2529,9653,2,0,0,3,7,2529,0,2012,0,98042,47.3738,-122.161,2533,6125,370950
-1239400650,11/7/14,4,3.5,4700,10183,1,0,2,3,11,2660,2040,2002,0,98033,47.6728,-122.189,3770,9000,1240000
-8835800450,5/4/15,3,2.5,2780,275033,1,0,0,3,10,2780,0,2006,0,98045,47.4496,-121.766,1680,16340,950000
-293070120,9/18/14,4,2.75,3540,5500,2,0,0,3,9,3540,0,2014,0,98074,47.6181,-122.056,3540,5500,888990
-1176001117,3/19/15,3,2.5,1580,1321,2,0,2,3,8,1080,500,2014,0,98107,47.6688,-122.402,1530,1357,705000
-7889601165,8/26/14,3,2.5,1700,2250,2,0,0,3,7,1700,0,2014,0,98168,47.4914,-122.334,1520,4500,268000
-7227801581,5/7/14,3,2.5,1600,3573,2,0,0,3,7,1600,0,2013,0,98056,47.507,-122.181,1500,11089,305450
-9895000040,7/3/14,2,1.75,1410,1005,1.5,0,0,3,9,900,510,2011,0,98027,47.5446,-122.018,1440,1188,399900
-9528102993,12/29/14,3,1.5,1580,1228,3,0,0,3,8,1580,0,2014,0,98115,47.6765,-122.32,1580,3605,495000
-3746700120,11/4/14,3,3.5,3940,11632,2,0,0,3,10,3940,0,2014,0,98166,47.438,-122.344,2015,11632,857326
-745530040,9/11/14,5,2.75,4450,9600,2,0,0,3,9,3650,800,2014,0,98011,47.7336,-122.21,4000,9750,845950
-7299600180,6/10/14,4,2.5,2009,5000,2,0,0,3,8,2009,0,2014,0,98092,47.2577,-122.198,2009,5182,303210
-2149800278,10/15/14,6,5,2732,7655,2,0,0,3,7,2732,0,2009,0,98002,47.3045,-122.211,3078,69993,343000
-2517000650,7/16/14,3,2.5,2090,4590,2,0,0,3,7,2090,0,2005,0,98042,47.3992,-122.163,2190,4060,300000
-6021503708,11/22/14,2,2.5,980,1013,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,334900
-8559300120,4/16/15,5,3.5,2815,5619,2,0,0,3,9,2815,0,2012,0,98055,47.4299,-122.207,2583,5295,477500
-3305100230,6/18/14,4,2.5,3170,8523,2,0,0,3,9,3170,0,2008,0,98033,47.6854,-122.184,3230,8523,820000
-2135200155,8/5/14,5,3.25,3030,7410,2,0,0,3,8,2150,880,2014,0,98106,47.553,-122.354,2020,7410,580000
-2919700109,7/22/14,2,2.5,1280,940,2,0,0,3,8,1060,220,2006,0,98103,47.6904,-122.364,1290,2900,350000
-8725950220,2/26/15,3,2.5,2030,1160,3,0,0,3,9,1970,60,2007,0,98004,47.6213,-122.2,1950,1160,910000
-1776230220,6/26/14,3,2.5,2490,4540,2.5,0,0,3,8,2490,0,2012,0,98059,47.5051,-122.155,2640,3844,414000
-9211010230,3/30/15,3,2.5,3030,4500,2,0,0,3,8,3030,0,2009,0,98059,47.4944,-122.15,3030,4501,525000
-1972201772,4/9/15,2,2.5,1470,690,3,0,3,3,8,1470,0,2008,0,98103,47.6523,-122.346,1480,1284,650000
-9268851320,12/10/14,3,2.25,1620,997,2.5,0,0,3,8,1540,80,2012,0,98027,47.5394,-122.027,1620,1068,450000
-1424059154,5/16/14,4,3,5520,8313,2,0,3,3,9,3570,1950,2008,0,98006,47.5655,-122.129,3770,8278,1270000
-626059365,4/12/15,3,3.5,3200,10344,2,0,0,3,10,3200,0,2007,0,98011,47.7636,-122.216,2550,20152,699000
-3885802136,7/23/14,4,2.5,2580,3943,2,0,0,3,8,2580,0,2013,0,98033,47.6853,-122.21,1700,5772,899000
-7967000150,8/8/14,4,3,2050,4000,2,0,0,3,8,2050,0,2014,0,98001,47.3523,-122.275,2050,4000,353500
-7853360720,9/8/14,3,2.5,2430,5867,2,0,0,3,7,2430,0,2011,0,98065,47.5162,-121.872,2620,5866,485000
-8562790150,6/26/14,4,3.25,3060,3898,2,0,0,3,10,2300,760,2014,0,98027,47.5311,-122.073,2920,3448,782900
-1226039124,4/28/15,2,2,1540,9714,2,0,0,3,8,1540,0,2008,0,98177,47.7628,-122.359,1840,8179,529000
-2767704251,4/16/15,3,3.25,1310,1072,2,0,0,3,8,1060,250,2008,0,98107,47.6744,-122.374,1160,1266,514700
-3862710210,5/20/14,3,2.5,1800,3168,2,0,0,3,8,1800,0,2014,0,98065,47.5342,-121.841,1800,3393,409316
-255460330,5/6/15,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3699,-122.019,2370,4370,388598
-291310610,2/27/15,3,2.25,1445,1512,2,0,0,3,7,1300,145,2004,0,98027,47.5341,-122.069,1445,1082,415000
-9126101121,4/7/15,3,2.25,1450,1619,2,0,0,3,8,1140,310,2006,0,98122,47.6076,-122.304,1580,3472,521500
-9274200322,8/20/14,3,2.5,1740,1236,3,0,2,3,8,1740,0,2008,0,98116,47.5891,-122.387,1740,1280,580000
-6666830230,6/30/14,4,2.5,3560,5265,3,0,0,3,8,3560,0,2014,0,98052,47.7047,-122.113,3220,4892,882566
-1604601803,4/8/15,3,2.75,2130,1400,2,0,0,3,9,1080,1050,2010,0,98118,47.5661,-122.29,1880,3132,525000
-7702080150,12/1/14,5,2.75,2980,4502,2,0,0,3,9,2980,0,2007,0,98028,47.7698,-122.235,2850,4501,515000
-7853400220,9/26/14,3,3,2840,7201,2,0,0,3,9,2840,0,2014,0,98065,47.5165,-121.883,2540,5260,589410
-3895100039,3/24/15,4,2.5,3420,6845,2,0,0,3,9,3420,0,2009,0,98052,47.6777,-122.156,2800,5715,757500
-7697000150,10/2/14,3,2.5,1660,4083,2,0,0,3,7,1660,0,2013,0,98038,47.3595,-122.045,1800,4087,284000
-8562780530,3/28/15,2,2.25,1150,711,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,748,338500
-291310180,6/13/14,3,2.25,1410,1287,2,0,0,3,7,1290,120,2005,0,98027,47.5344,-122.068,1490,1435,379500
-1972205633,7/23/14,3,2,1420,1369,2.5,0,0,3,9,1340,80,2007,0,98109,47.6472,-122.357,1540,2168,550000
-3023000120,9/2/14,3,2.5,1860,5025,2,0,0,3,8,1860,0,2010,0,98038,47.3557,-122.059,2000,5550,294900
-7548301056,6/9/14,2,1.5,1340,1210,2,0,0,3,8,1120,220,2008,0,98144,47.588,-122.305,1340,1213,345000
-9826701201,2/9/15,2,1.5,1530,1012,2,0,0,3,8,1200,330,2005,0,98122,47.602,-122.306,1530,1425,450000
-6300500476,4/15/15,3,2.5,1509,1114,3,0,0,3,8,1509,0,2014,0,98133,47.7049,-122.34,1509,2431,420000
-2597490410,4/2/15,3,2.5,2350,3798,2,0,0,3,8,2350,0,2013,0,98029,47.543,-122.01,2020,3532,740000
-3448001411,2/20/15,2,1.5,1010,825,3,0,0,3,7,1010,0,2007,0,98125,47.7124,-122.301,1128,1080,286000
-745530180,3/17/15,5,3.5,4495,10079,2,0,0,3,9,3580,915,2013,0,98011,47.7339,-122.209,4495,10079,870000
-3879900753,11/14/14,3,2.5,1580,991,3,0,0,3,9,1580,0,2009,0,98119,47.6276,-122.359,1610,1297,727000
-2781230230,2/4/15,4,3,2750,7965,2,0,0,3,9,2750,0,2012,0,98038,47.3479,-122.028,2750,6000,395000
-3629990180,8/5/14,4,2.25,1890,3615,2,0,0,3,7,1890,0,2005,0,98029,47.5493,-121.999,1630,3280,535000
-9352900222,12/29/14,3,2.25,1320,963,2,0,0,3,7,1040,280,2007,0,98106,47.5199,-122.357,1300,1285,255000
-7338220120,10/15/14,4,2.5,2150,3721,2,0,0,3,8,2150,0,2006,0,98002,47.3363,-122.217,2150,3721,260000
-325059287,9/10/14,4,2.5,3340,8384,2,0,0,3,9,3340,0,2014,0,98052,47.6761,-122.152,1560,9429,810000
-7203140360,12/1/14,3,2.5,1850,3400,2,0,0,3,7,1850,0,2010,0,98053,47.6871,-122.014,1850,3400,359782
-6056110150,3/20/15,2,2.5,1950,2162,2,0,0,3,9,1500,450,2012,0,98118,47.5622,-122.292,1800,2457,500000
-7203230040,10/27/14,5,3.25,4240,9588,2,0,0,3,9,4240,0,2014,0,98053,47.6901,-122.018,4080,8425,1050000
-8121100155,2/25/15,4,3.5,2700,2868,2,0,0,3,11,1920,780,2006,0,98118,47.5685,-122.286,1430,3858,810000
-7853370620,2/6/15,5,4,3040,6000,2,0,0,3,8,2280,760,2011,0,98065,47.5189,-121.876,3070,5558,605000
-6400700264,3/17/15,4,2.5,2460,7930,2,0,0,3,8,2460,0,2005,0,98033,47.6684,-122.175,1850,9000,730000
-1760650880,3/17/15,4,2.5,2110,3825,2,0,0,3,7,2110,0,2013,0,98042,47.359,-122.082,1950,3825,327000
-567000382,11/10/14,2,1,780,1133,2,0,0,3,7,780,0,2009,0,98144,47.5924,-122.295,1130,1270,370000
-7852100150,6/25/14,5,3.5,2640,6895,2,0,0,3,7,2640,0,2001,0,98065,47.5298,-121.879,2640,5267,459000
-6447300365,11/13/14,5,4,5190,14600,2,0,1,3,11,5190,0,2013,0,98039,47.6102,-122.225,3840,19250,2900000
-2622059197,12/10/14,4,2.5,2420,8404,2,0,0,3,8,2420,0,2013,0,98042,47.372,-122.13,2440,4822,365000
-1389600040,12/26/14,4,2.5,1987,6000,2,0,0,3,7,1987,0,2011,0,98001,47.2679,-122.255,1880,9589,255000
-9276200220,7/17/14,1,1,720,3166,1,0,0,3,6,720,0,1920,0,98116,47.5811,-122.389,1140,6250,375000
-7904700032,10/2/14,2,1.5,1130,912,2,0,0,3,8,1000,130,2006,0,98116,47.5638,-122.388,1500,1474,375000
-3744000040,7/22/14,4,2.5,2810,4500,2,0,0,3,9,2810,0,2014,0,98038,47.3552,-122.023,2980,5046,518380
-1773100604,7/21/14,3,3.25,1500,1442,2,0,0,3,8,1150,350,2007,0,98106,47.5592,-122.362,1500,1533,346000
-9268850360,2/23/15,4,2,1390,745,3,0,0,3,7,1390,0,2008,0,98027,47.5393,-122.026,1390,942,302059
-7853420450,5/19/14,4,2.5,2500,4945,2,0,0,3,9,2500,0,2013,0,98065,47.5185,-121.885,2760,6000,575000
-8956200770,7/23/14,4,3.5,3906,9674,2,0,2,3,9,3906,0,2014,0,98001,47.2931,-122.264,2673,6500,549950
-2424059170,2/19/15,5,6,7120,40806,2,0,4,3,12,5480,1640,2007,0,98006,47.5451,-122.114,3440,36859,900000
-1934800133,7/11/14,3,2.5,1470,1256,2,0,0,3,8,930,540,2006,0,98122,47.6033,-122.309,1510,1797,397500
-5556300109,11/21/14,5,3.5,3230,7560,2,0,0,3,10,3230,0,2007,0,98052,47.6467,-122.118,3230,8580,1080000
-2326600150,4/22/15,3,2.5,2700,5764,2,0,0,3,9,2700,0,2014,0,98075,47.5618,-122.027,3270,14700,775900
-3751600409,5/8/15,4,2.5,4073,17334,2,0,0,3,8,4073,0,2008,0,98001,47.2949,-122.27,1780,9625,510000
-3814900210,8/29/14,4,2.5,3361,5038,2,0,0,3,9,3361,0,2014,0,98092,47.3269,-122.165,2316,4105,471275
-9542840730,9/11/14,4,2.25,1610,3560,2,0,0,3,7,1610,0,2010,0,98038,47.3669,-122.02,1760,3692,288000
-2937300540,10/16/14,4,3.5,3830,7150,2,0,0,3,9,3830,0,2014,0,98052,47.7049,-122.126,3640,6055,989990
-7549800543,6/12/14,3,3.25,1470,1235,2,0,0,3,7,1180,290,2008,0,98108,47.5537,-122.313,1470,1243,300000
-4058800439,6/23/14,5,3,3190,7081,1,0,2,3,9,1890,1300,2013,0,98178,47.509,-122.24,2270,7623,664950
-7853430180,7/16/14,4,3.25,3250,5478,2,0,0,3,9,3250,0,2014,0,98065,47.5178,-121.887,3250,5482,699188
-982850120,3/3/15,3,2.25,1490,4539,2,0,0,3,7,1490,0,2009,0,98028,47.7607,-122.233,1750,4667,390000
-9476010120,3/21/15,5,2.75,2900,5155,2,0,0,3,8,2900,0,2008,0,98075,47.5977,-122.008,2900,6176,670000
-5200087,7/9/14,4,2.5,2540,5001,2,0,0,3,9,2540,0,2005,0,98108,47.5423,-122.302,2360,6834,487000
-7308600040,7/23/14,5,2.75,3360,12080,2,0,0,3,9,3360,0,2014,0,98011,47.7757,-122.173,3360,9724,769995
-1498301048,5/8/14,2,1.25,860,1277,2,0,0,3,7,860,0,2007,0,98144,47.5842,-122.314,1280,1265,321950
-2738630040,4/27/15,4,2.5,3020,6068,2,0,0,3,9,3020,0,2006,0,98072,47.773,-122.16,3240,5757,613500
-6300500081,8/6/14,3,2.5,1330,1200,3,0,0,3,7,1330,0,2002,0,98133,47.7034,-122.344,1330,1206,300000
-3845100620,11/25/14,4,2.5,2578,4554,2,0,0,3,9,2578,0,2014,0,98092,47.2603,-122.194,2647,4554,400950
-255450040,9/18/14,4,2.5,2640,4725,2,0,0,3,8,2640,0,2014,0,98038,47.371,-122.017,2370,4725,389517
-880000211,8/21/14,3,1.75,1260,1133,2,0,0,3,7,810,450,2011,0,98106,47.5261,-122.361,1260,1172,255000
-2163900081,2/20/15,3,2.5,1990,1891,3,0,0,3,9,1990,0,2012,0,98102,47.6271,-122.324,1990,3600,1080000
-7853370440,11/21/14,5,3.25,3340,4900,2,0,2,3,9,2500,840,2014,0,98065,47.5193,-121.877,3220,5200,637850
-3448900290,8/28/14,4,2.5,2840,6284,2,0,0,3,9,2840,0,2013,0,98056,47.5135,-122.169,2790,7168,636230
-263000006,12/16/14,3,2.5,1530,1131,3,0,0,3,8,1530,0,2009,0,98103,47.6993,-122.346,1530,1445,375000
-1972200882,6/4/14,3,2.5,1780,1487,3,0,0,3,8,1600,180,2006,0,98107,47.6539,-122.351,1780,1300,586500
-7853270630,1/20/15,4,2.5,2340,6973,2,0,0,3,8,1930,410,2005,0,98065,47.5451,-121.882,2950,6908,544000
-7852130430,8/6/14,4,2.5,2390,5021,2,0,0,3,7,2390,0,2002,0,98065,47.5353,-121.879,2520,5333,425000
-7383450250,3/11/15,4,2.5,2090,3777,2,0,0,3,8,2090,0,2012,0,98038,47.3595,-122.042,2160,3993,374950
-3449000010,3/12/15,3,1,1140,8400,1,0,0,4,7,1140,0,1960,0,98059,47.5022,-122.144,1400,9000,294570
-2690100170,10/13/14,3,2.5,1960,1477,2,0,0,3,7,1670,290,2012,0,98059,47.4873,-122.166,1980,1467,300000
-9578500920,9/10/14,5,3.5,2738,6031,2,0,0,3,8,2738,0,2014,0,98023,47.2962,-122.35,2738,5201,395950
-8562900430,7/18/14,4,2.5,3691,11088,2,0,1,3,8,3691,0,2013,0,98074,47.6122,-122.059,3190,11270,800000
-1442880380,7/30/14,3,2.5,2340,5171,2,0,0,3,8,2340,0,2013,0,98045,47.4832,-121.772,2790,5684,439990
-3204930170,11/6/14,4,3.5,2510,3763,2,0,0,3,8,1990,520,2013,0,98052,47.7002,-122.103,2560,3820,680000
-4449800480,3/18/15,6,3,2800,4213,2,0,0,3,8,2800,0,1998,0,98117,47.6892,-122.389,1440,3960,677790
-3862710010,5/1/15,3,2.5,1650,4777,2,0,0,3,8,1650,0,2013,0,98065,47.5336,-121.841,1800,3331,424950
-301402280,3/31/15,2,2.25,1061,2884,2,0,0,3,7,1061,0,2013,0,98002,47.346,-122.218,1481,2887,223990
-2867300170,5/13/15,4,2.5,3402,14355,2,0,0,3,10,2846,556,2014,0,98023,47.3009,-122.385,3402,8487,498000
-5635100080,10/31/14,4,2.5,2542,6120,2,0,0,3,8,2542,0,2014,0,98030,47.3751,-122.188,2419,8984,359950
-1624079024,5/15/14,3,2.5,3150,151588,2,0,0,3,9,3150,0,2007,0,98024,47.572,-121.926,2410,208652,720000
-9211010840,11/12/14,4,2.5,3010,9000,2,0,0,3,8,3010,0,2008,0,98059,47.4987,-122.147,3250,5531,530000
-7697000020,10/7/14,3,2.5,1660,4898,2,0,0,3,7,1660,0,2011,0,98038,47.3588,-122.044,1810,4462,295000
-3832050130,10/21/14,3,2.5,1770,5000,2,0,0,3,7,1770,0,2009,0,98042,47.3358,-122.051,2230,5200,255500
-3630240020,5/21/14,3,3,1960,1168,2,0,0,3,9,1600,360,2007,0,98027,47.5445,-122.014,2080,1423,556000
-1389600080,7/10/14,4,2.5,1889,6000,2,0,0,3,7,1889,0,2012,0,98001,47.2676,-122.256,1990,6350,277950
-2781230080,4/8/15,4,2.5,3040,6000,2,0,0,3,9,3040,0,2007,0,98038,47.3473,-122.03,2640,6000,431000
-7203100660,11/17/14,4,2.75,3420,6787,2,0,0,3,9,3420,0,2010,0,98053,47.6962,-122.023,3450,6137,780000
-1806900502,10/14/14,3,3.25,1720,936,2,0,0,3,8,1030,690,2004,0,98112,47.6201,-122.309,1720,1527,649000
-3022800010,7/14/14,3,2.5,1740,3043,2,0,0,3,7,1740,0,2012,0,98011,47.744,-122.181,1920,2869,447000
-6666830250,5/5/14,4,2.5,2450,4247,2,0,0,3,8,2450,0,2013,0,98052,47.7048,-122.113,2970,4685,712198
-7242800020,8/15/14,3,1.5,1190,785,2,0,0,3,8,920,270,2014,0,98052,47.6781,-122.117,2820,5626,277140
-2867300190,5/28/14,4,2.5,3753,7204,2,0,0,3,10,3336,417,2008,0,98023,47.3011,-122.385,3494,9375,363000
-8564860130,2/2/15,5,3.5,3440,6037,2,0,0,3,9,3440,0,2014,0,98045,47.4765,-121.734,3270,6037,598992
-2770603522,12/11/14,3,2.5,2160,1250,3,0,0,3,8,1830,330,2010,0,98119,47.6515,-122.375,1870,2825,585000
-9544200422,7/31/14,4,2.75,3820,8850,2,0,0,3,10,3820,0,2014,0,98033,47.6506,-122.195,2330,12000,1270000
-4253400104,2/12/15,2,2,1120,1039,2,0,0,3,7,840,280,2007,0,98144,47.5788,-122.315,1130,5400,380950
-1085622890,7/8/14,4,2.5,2250,3916,2,0,0,3,8,2250,0,2014,0,98003,47.3413,-122.18,2156,3920,333490
-9268851630,6/4/14,3,3.25,1540,1487,2,0,0,3,8,1540,0,2011,0,98027,47.5397,-122.027,1620,1104,520000
-8562780190,10/7/14,2,2.25,1240,705,2,0,0,3,7,1150,90,2009,0,98027,47.5321,-122.073,1240,750,315000
-2767600686,3/31/15,2,1.5,1160,1118,2,0,0,3,8,1020,140,2007,0,98117,47.6754,-122.375,1210,1118,487000
-7207900080,8/8/14,5,3.5,2760,3865,2.5,0,0,3,8,2760,0,2013,0,98056,47.5049,-122.17,2590,4587,424950
-2770601457,2/10/15,3,2.25,1580,1487,3,0,0,3,9,1580,0,2013,0,98199,47.6514,-122.386,1600,1525,542300
-1773100920,12/11/14,3,3.25,1480,1192,2,0,0,3,8,1180,300,2013,0,98106,47.5556,-122.363,1330,1094,320000
-1024069027,7/23/14,4,3.25,3740,11467,2,0,0,3,10,3740,0,2014,0,98029,47.581,-122.022,2510,27520,1140000
-7853361310,12/15/14,4,2.5,1950,5000,2,0,0,3,8,1950,0,2012,0,98065,47.515,-121.872,2710,5000,425000
-6824100029,10/31/14,3,3,1530,1568,3,0,0,3,8,1530,0,2012,0,98117,47.6998,-122.367,1460,1224,474950
-255450250,8/4/14,3,2.5,1820,4200,2,0,0,3,8,1820,0,2014,0,98038,47.3693,-122.017,2370,4200,307635
-2428100130,12/10/14,3,2.5,2760,6187,2,0,0,3,10,2760,0,2014,0,98075,47.5821,-122.047,2760,6600,834538
-1042700050,7/23/14,5,2.75,3010,5398,2,0,0,3,9,3010,0,2014,0,98074,47.6067,-122.053,3360,5407,769995
-7853280250,4/24/15,5,3.25,3860,9387,2,0,2,3,9,3860,0,2006,0,98065,47.538,-121.858,3860,8979,820875
-7853410170,3/16/15,4,2.5,2490,6537,2,0,0,3,8,2490,0,2013,0,98065,47.5185,-121.884,2520,5848,595500
-2708450020,9/12/14,4,2.5,3236,9608,2,0,0,3,10,3236,0,2005,0,98030,47.3838,-122.195,3236,9660,450000
-7852140170,4/21/15,4,2.5,2830,14538,2,0,0,3,8,2830,0,2003,0,98065,47.5405,-121.882,2270,6939,695000
-1459920010,3/23/15,3,2,1451,7159,1,0,0,3,7,1451,0,2010,0,98042,47.3754,-122.163,2303,6126,300000
-3438500250,6/23/14,5,3.25,2910,5027,2,0,0,3,8,2040,870,2013,0,98106,47.5543,-122.359,2910,5027,515000
-1890000169,9/3/14,3,2.5,1280,1845,3,0,0,3,8,1280,0,2009,0,98105,47.662,-122.324,1450,1889,545000
-1250200414,2/18/15,3,2.25,1110,979,2,0,0,3,7,960,150,2008,0,98144,47.5999,-122.3,1170,1400,365000
-2564900470,7/14/14,4,2.75,2840,8800,2,0,0,3,9,2840,0,2008,0,98033,47.7029,-122.171,1840,7700,718500
-2895800780,4/1/15,3,1.75,1410,2052,2,0,0,3,8,1410,0,2014,0,98106,47.5171,-122.347,1410,1988,279800
-6306800050,9/25/14,4,2.5,3250,13360,2,0,0,3,9,3250,0,2014,0,98030,47.3524,-122.198,2612,14448,486940
-6928000605,6/26/14,4,2.75,3030,6625,2,0,0,3,8,3030,0,2011,0,98059,47.4815,-122.152,3030,9620,525000
-3814900950,7/25/14,4,2.5,1983,6002,2,0,0,3,9,1983,0,2012,0,98092,47.3281,-122.164,2502,4750,345000
-8562770080,10/30/14,3,3.25,2440,2812,2,0,0,3,8,1710,730,2005,0,98027,47.5362,-122.072,2440,2836,613000
-3831250130,8/25/14,3,2.5,2313,5700,2,0,0,3,9,2313,0,2011,0,98030,47.3572,-122.202,2323,5701,370000
-3629990020,10/2/14,3,2.25,1260,2556,2,0,0,3,7,1260,0,2005,0,98029,47.5482,-121.998,1630,2844,449500
-9532000010,4/16/15,3,2.5,2000,3837,2,0,0,3,8,2000,0,2011,0,98072,47.7713,-122.167,2210,4075,515000
-8562780430,5/4/15,2,1.75,1150,698,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,757,346100
-2781230020,12/9/14,4,2.5,2820,6666,2,0,0,3,9,2820,0,2007,0,98038,47.3473,-122.031,1880,7200,398500
-8658301060,8/20/14,2,1.75,1160,2500,2,0,0,3,7,1160,0,2008,0,98014,47.6489,-121.911,970,7500,310000
-301402140,2/26/15,3,2.25,1481,2820,2,0,0,3,7,1481,0,2012,0,98002,47.3457,-122.217,1481,2889,250000
-8923600020,8/6/14,5,3.5,4390,6220,2,0,3,3,9,3170,1220,2013,0,98115,47.6789,-122.273,2740,6448,1880000
-8725950020,8/27/14,2,1.75,1570,1207,3,0,0,3,9,1570,0,2007,0,98004,47.6215,-122.201,1570,1206,695000
-1121000357,8/27/14,4,3,3410,6541,2,0,2,3,9,2680,730,2007,0,98126,47.5416,-122.38,2300,6345,1090000
-1042700290,8/4/14,5,3.25,3480,6507,2,0,0,3,9,3480,0,2014,0,98074,47.607,-122.053,3360,5398,864327
-7308600010,6/16/14,4,3.25,3430,9870,2,0,0,3,9,3430,0,2014,0,98011,47.776,-122.173,3360,9724,749995
-7708210050,6/10/14,5,2.75,2880,8364,2,0,0,3,9,2880,0,2006,0,98059,47.4893,-122.147,3010,8296,525000
-5631500285,11/21/14,3,2.5,2990,9413,2,0,0,3,10,2990,0,2006,0,98028,47.7341,-122.234,1940,9600,659950
-524059063,5/6/14,5,5,4490,10279,2,0,0,3,10,3930,560,2013,0,98004,47.5974,-122.202,2490,10279,1800000
-7203160190,10/29/14,5,4,4100,8120,2,0,0,3,9,4100,0,2011,0,98053,47.6917,-122.02,4100,7625,950000
-1692900095,6/18/14,4,2.75,3870,10046,2,0,0,3,11,3870,0,2005,0,98033,47.6651,-122.191,3560,10046,1400000
-3438500346,7/2/14,2,1.5,800,2119,2,0,0,3,7,800,0,2008,0,98106,47.554,-122.362,1020,4800,265050
-9268850290,3/6/15,3,2.25,1620,1057,3,0,0,3,8,1540,80,2009,0,98027,47.5396,-122.026,1390,942,450000
-2419700080,5/5/15,4,2.5,2910,4356,3,0,0,3,8,2910,0,2010,0,98034,47.6705,-122.146,2840,4181,915000
-1235700052,6/30/14,4,3.25,3530,8589,2,0,0,3,10,3530,0,2007,0,98033,47.6975,-122.195,2470,9019,963000
-4233800020,10/8/14,4,2.5,2701,5821,2,0,0,3,7,2701,0,2013,0,98092,47.2873,-122.177,2566,5843,270000
-3278612570,7/24/14,2,2.5,1380,889,2,0,0,3,7,1140,240,2012,0,98126,47.5441,-122.369,1580,1397,294000
-6638900461,6/5/14,3,2.5,2050,4185,2,0,0,3,9,2050,0,2011,0,98117,47.6922,-122.371,1150,5000,700000
-4233600190,3/16/15,3,4,3370,8252,2,0,0,3,10,3370,0,2014,0,98075,47.5965,-122.013,3710,8252,1070000
-7987400285,4/29/15,3,2.5,2040,2500,2,0,0,3,7,1470,570,2008,0,98126,47.573,-122.372,1410,2500,494900
-9532000500,8/1/14,3,2.5,1610,3600,2,0,0,3,8,1610,0,2010,0,98072,47.771,-122.169,2210,3600,415000
-8564860280,5/2/14,3,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4761,-121.734,2990,6037,459990
-8691440440,10/3/14,4,3.5,3560,6562,2,0,0,3,10,3560,0,2014,0,98075,47.5929,-121.974,3710,6562,882990
-1099950050,12/29/14,4,3.5,3880,8244,2,0,0,3,10,3060,820,2007,0,98019,47.7426,-121.976,3180,10947,620000
-3304040130,2/12/15,3,2,1824,7120,1,0,0,3,9,1824,0,2010,0,98001,47.3457,-122.27,2409,6264,375900
-8562790480,10/6/14,3,2.5,2220,2873,2,0,0,3,10,2010,210,2012,0,98027,47.5311,-122.074,2290,3213,654000
-4457300005,3/25/15,4,3.25,4140,11007,2,0,0,3,10,4140,0,2013,0,98040,47.5707,-122.217,2150,9663,1840000
-8856003839,12/10/14,3,2.5,1322,6006,2,0,0,3,7,1322,0,2009,0,98001,47.2706,-122.254,1440,6796,215000
-1972200728,11/24/14,3,2.5,1909,1300,3,0,0,3,8,1766,143,2006,0,98103,47.6538,-122.352,1780,1248,630500
-8691420050,11/7/14,4,3.5,3460,7702,2,0,0,3,10,3460,0,2010,0,98075,47.5942,-121.977,3380,7464,855000
-6601200020,1/27/15,4,2.5,1954,5075,2,0,0,3,8,1954,0,2007,0,98001,47.2606,-122.253,1934,5000,235245
-200480020,7/10/14,5,2.5,3000,7912,1,0,0,3,9,1610,1390,2007,0,98033,47.6765,-122.175,2700,7205,770000
-7203170190,6/19/14,4,2.5,2650,6884,2,0,0,3,8,2650,0,2012,0,98053,47.6901,-122.015,2520,5866,734990
-3885802134,1/9/15,4,2.5,2580,3436,2,0,0,3,8,2580,0,2013,0,98033,47.6853,-122.21,1780,5772,880000
-9578060420,1/14/15,4,3,2650,4924,2,0,0,3,8,2650,0,2011,0,98028,47.7734,-122.238,2380,4733,525000
-3630200080,8/7/14,4,3.5,3390,3960,2,0,0,3,10,3390,0,2008,0,98027,47.5406,-121.995,2990,3400,775000
-3876900089,4/30/15,3,1.75,1470,873,3,0,0,3,10,1470,0,2009,0,98119,47.6256,-122.362,1410,967,687015
-3630130130,11/12/14,3,2.5,1910,5125,2,0,0,3,9,1910,0,2006,0,98029,47.5481,-121.995,1910,3215,663000
-3326059253,3/30/15,4,2.5,3030,7187,2,0,0,3,9,3030,0,2005,0,98033,47.6934,-122.166,3030,7187,815000
-2224069109,4/27/15,4,3.25,2930,25020,2,0,0,3,9,2930,0,2013,0,98029,47.5514,-122.023,2400,32374,1050000
-3862700020,4/23/15,3,2.5,1650,2787,2,0,0,3,8,1650,0,2014,0,98065,47.5336,-121.838,1760,2787,433190
-3629980080,12/10/14,4,2.5,2870,5118,2,0,0,3,9,2870,0,2006,0,98029,47.5544,-121.99,2940,4800,725000
-7299600950,4/8/15,3,2.5,1608,4800,2,0,0,3,8,1608,0,2013,0,98092,47.2585,-122.201,2009,4800,279950
-5528600005,3/27/15,2,2.5,1620,3795,2,0,0,3,7,1620,0,2014,0,98027,47.5321,-122.034,1620,6000,272167
-3052700419,6/16/14,3,2.5,1350,1186,2,0,0,3,8,1120,230,2007,0,98117,47.6786,-122.375,1500,1605,468500
-9542840630,6/2/14,3,2.5,1950,3600,2,0,0,3,7,1950,0,2010,0,98038,47.3658,-122.021,1870,4184,298000
-7896300592,1/14/15,6,4.5,3390,7200,2,0,0,3,8,2440,950,2007,0,98118,47.5205,-122.288,2040,7214,303500
-9268850480,4/10/15,3,1.75,1300,1237,2,0,0,3,7,1060,240,2008,0,98027,47.539,-122.026,1350,942,308000
-3629700020,4/15/15,3,3,2230,1407,2.5,0,0,3,8,1850,380,2014,0,98027,47.5446,-122.017,2230,1407,646800
-8648900010,1/2/15,4,2.5,1880,3853,2,0,0,3,8,1880,0,2010,0,98027,47.5636,-122.094,1890,3078,530200
-5422950170,11/12/14,5,2.5,3370,5092,2,0,0,3,7,3370,0,2006,0,98038,47.3594,-122.036,2910,5092,405000
-2768200213,7/24/14,2,2.5,1320,1395,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.362,1550,1519,529000
-642150080,9/8/14,3,2.5,2920,9096,2,0,0,3,9,2920,0,2013,0,98059,47.4855,-122.149,2930,7995,675900
-2770601912,4/2/15,3,3.25,1550,1280,2,0,0,3,9,1220,330,2013,0,98199,47.6493,-122.384,1550,1579,570000
-3304040020,12/26/14,4,2.5,2301,6452,2,0,0,3,9,2301,0,2010,0,98001,47.346,-122.269,2650,6054,375500
-3629960170,10/21/14,3,3.25,1710,1960,2,0,0,3,8,1360,350,2004,0,98029,47.5479,-122.003,1420,955,445000
-1238900130,1/5/15,4,3.75,2890,4164,2,0,0,3,9,2240,650,2013,0,98033,47.676,-122.197,2354,3207,1100000
-6056100114,8/25/14,3,2.5,2100,5060,2,0,0,3,7,2100,0,2006,0,98108,47.563,-122.298,1520,2468,477000
-4140940130,11/21/14,3,2.75,2240,3360,2,0,0,3,8,2100,140,2014,0,98178,47.4999,-122.232,1790,5873,450000
-6824100007,3/26/15,3,3,1460,1200,3,0,0,3,8,1460,0,2006,0,98117,47.7,-122.367,1460,1245,427005
-1959700225,2/24/15,3,1.75,1370,1990,3,0,0,3,9,1370,0,2014,0,98102,47.6434,-122.324,1730,1990,720000
-518500460,10/8/14,3,3.5,3760,5634,2,1,4,3,11,2830,930,2014,0,98056,47.5285,-122.205,3560,5762,2230000
-923059252,5/27/14,4,3.25,2510,5311,2,0,0,3,9,2510,0,2009,0,98056,47.5028,-122.17,1590,9583,450800
-3052700213,8/29/14,2,2.25,1210,1267,2,0,0,3,8,1120,90,2010,0,98117,47.6783,-122.376,1360,1349,461100
-2428100080,10/1/14,4,3,2990,6695,2,0,0,3,10,2990,0,2014,0,98075,47.5817,-122.047,2760,6600,1060000
-9276202130,4/8/15,3,2.5,1710,2875,2,0,0,3,8,1710,0,2006,0,98116,47.5787,-122.392,1640,5750,590000
-3845100670,7/16/14,4,2.5,3274,4950,2,0,0,3,9,3274,0,2014,0,98092,47.2603,-122.195,2578,4200,478830
-4319200675,7/9/14,4,2.25,3300,8365,3,0,0,3,9,3300,0,2014,0,98126,47.5363,-122.377,1290,8369,760000
-323059327,7/3/14,4,3.5,4370,10860,2,0,0,3,11,4370,0,2008,0,98059,47.5066,-122.148,3560,8070,1030000
-3448720020,6/13/14,4,2.5,2050,5276,2,0,0,3,7,2050,0,2006,0,98059,47.491,-122.15,2480,5447,385000
-7234600832,5/16/14,2,2.5,1310,1500,2,0,0,3,8,1160,150,2006,0,98122,47.6112,-122.309,1320,1581,500000
-4045500950,4/15/15,3,1.5,1680,8000,1.5,0,0,3,7,1680,0,2012,0,98014,47.6923,-121.869,1990,26336,425000
-7234600098,9/5/14,3,3,1330,1379,2,0,0,4,8,1120,210,2005,0,98122,47.6126,-122.313,1810,1770,552100
-666000143,12/29/14,3,3,1950,1983,3,0,0,3,9,1610,340,2009,0,98004,47.6078,-122.202,2040,2131,785000
-3343903611,3/23/15,5,3.25,3090,7069,2,0,0,3,9,3090,0,2012,0,98056,47.5114,-122.196,2480,8000,615000
-1760650950,4/23/15,3,2.5,1950,3825,2,0,0,3,7,1950,0,2013,0,98042,47.3588,-122.082,1950,3825,309000
-5100403818,2/20/15,3,2,1108,1128,3,0,0,3,7,1108,0,2009,0,98115,47.6961,-122.318,1285,1253,369500
-2325400170,2/11/15,4,2.25,2190,3850,2,0,0,3,7,2190,0,2006,0,98059,47.4861,-122.161,2190,3980,391000
-5700000446,10/29/14,3,1.75,1590,1322,2,0,0,3,8,1060,530,2014,0,98144,47.5753,-122.294,1530,5400,465000
-9492500010,6/6/14,4,2.75,3010,7215,2,0,0,3,9,3010,0,2014,0,98033,47.6952,-122.178,3010,7215,879950
-2461900446,10/23/14,3,2,1330,1042,2,0,0,3,8,1060,270,2014,0,98136,47.5522,-122.382,1440,2428,372000
-8669160170,5/22/14,3,2.5,1550,3569,2,0,0,3,7,1550,0,2011,0,98002,47.3528,-122.211,2095,3402,259000
-3644100101,7/7/14,2,1.5,1260,1575,2,0,0,3,7,1260,0,2001,0,98144,47.5914,-122.295,1220,1740,374000
-7852090680,3/5/15,4,2.5,2550,5395,2,0,0,3,8,2550,0,2001,0,98065,47.5355,-121.874,2850,6109,561000
-5693501028,4/3/15,3,2.5,1300,1331,3,0,0,3,8,1300,0,2007,0,98103,47.6607,-122.352,1450,5270,610000
-3629700080,1/8/15,3,3,2230,1407,2.5,0,0,3,8,1850,380,2014,0,98027,47.5446,-122.017,2290,1407,635000
-3278600680,6/27/14,1,1.5,1170,1456,2,0,0,3,8,1070,100,2007,0,98126,47.5493,-122.372,1360,1730,235000
-2738640470,7/16/14,4,3.5,4170,4524,2,0,0,3,9,3500,670,2007,0,98072,47.7726,-122.162,3510,5001,623300
-7853320950,10/23/14,3,2,1680,5246,1,0,0,3,7,1680,0,2007,0,98065,47.5206,-121.868,2430,6883,412500
-5635100050,11/21/14,4,3.25,2864,8035,3,0,0,3,8,2864,0,2014,0,98030,47.3746,-122.189,2419,8984,380000
-3629990280,6/23/14,3,2.25,1630,3817,2,0,0,3,7,1630,0,2005,0,98029,47.5485,-121.999,1630,3348,497000
-6306800020,11/11/14,4,2.5,2716,7850,2,0,0,3,9,2716,0,2014,0,98030,47.352,-122.197,2580,14448,452000
-7697000170,10/25/14,3,2.5,1750,4076,2,0,0,3,7,1750,0,2013,0,98038,47.3597,-122.045,1810,4090,312000
-5057100080,9/19/14,5,3,3223,6371,2,0,0,3,9,3223,0,2014,0,98042,47.3588,-122.163,1979,19030,469950
-5276200020,8/5/14,5,2.5,2600,4284,2,0,0,3,9,2600,0,2014,0,98136,47.5409,-122.39,1620,5000,775000
-5727500006,4/27/15,4,2.75,3320,8653,2,0,0,3,8,3320,0,2014,0,98133,47.7521,-122.334,2140,8727,679990
-9268850130,6/27/14,4,2,1350,942,3,0,0,3,7,1350,0,2008,0,98027,47.5401,-122.026,1390,942,288790
-9293000170,4/8/15,5,2.5,3410,4726,2,0,0,3,9,3410,0,2007,0,98006,47.5459,-122.184,2810,5129,800000
-7299601870,4/27/15,3,2.5,1572,4000,2,0,0,3,8,1572,0,2013,0,98092,47.2615,-122.198,1608,5175,299000
-1760650500,1/29/15,4,2.5,2300,4482,2,0,0,3,7,2300,0,2013,0,98042,47.3599,-122.082,2300,3825,332000
-7174800094,4/20/15,1,1.5,1030,5923,1,0,0,3,8,1030,0,1940,0,98105,47.6653,-122.305,2650,5000,525000
-6909200007,9/3/14,3,1.75,1458,858,2,0,0,3,8,950,508,2014,0,98144,47.592,-122.293,1458,3000,620000
-7853321150,11/3/14,4,2.5,2190,6896,2,0,0,3,7,2190,0,2007,0,98065,47.5191,-121.869,2190,5900,452000
-1105000402,10/28/14,4,3,3640,5096,2,0,0,3,8,2740,900,2010,0,98118,47.5428,-122.27,1910,9189,630000
-1442870420,7/24/14,4,2.75,2790,7803,2,0,0,3,8,2790,0,2013,0,98045,47.4823,-121.772,2620,6178,485000
-3682000050,10/13/14,4,2.5,2632,4117,2,0,0,3,8,2632,0,2013,0,98001,47.3428,-122.278,2040,5195,349950
-1442880080,7/1/14,4,2.75,2910,6334,2,0,0,3,8,2910,0,2013,0,98045,47.4826,-121.771,2790,6352,499990
-7169500020,12/5/14,2,2.25,1470,1101,2,0,0,3,8,1340,130,2005,0,98115,47.6768,-122.301,1470,1582,510000
-2911700010,3/3/15,3,2.5,2240,21477,2,0,2,3,8,2240,0,1995,0,98006,47.5745,-122.18,2930,21569,1080000
-9578060470,5/8/14,3,2.5,2310,4729,2,0,0,3,8,2310,0,2011,0,98028,47.7734,-122.237,2440,4711,494000
-1776460190,6/26/14,3,2.5,2370,5353,2,0,0,3,8,2370,0,2009,0,98019,47.7333,-121.975,2130,6850,429900
-3449500050,10/15/14,4,2.75,2980,9825,1,0,0,3,8,1910,1070,2007,0,98056,47.5073,-122.172,2580,12231,505000
-2309710130,7/15/14,4,2,1870,6551,1,0,3,3,7,1870,0,2009,0,98022,47.1934,-121.977,2280,5331,272000
-1972201511,2/10/15,3,2.5,1770,1714,3,0,0,3,8,1770,0,2012,0,98103,47.6532,-122.348,1720,3360,671500
-7852120050,3/11/15,4,3.5,3510,10010,2,0,0,3,10,3510,0,2001,0,98065,47.5412,-121.876,4200,9935,729950
-3814900660,7/21/14,4,2.5,3281,5354,2,0,0,3,9,3281,0,2014,0,98092,47.3273,-122.163,2598,4815,471835
-8141310080,11/3/14,3,2,1670,4438,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.974,1670,4558,249950
-7207900050,8/8/14,5,3.5,2760,3846,2.5,0,0,3,8,2760,0,2013,0,98056,47.5047,-122.17,2760,4587,424950
-2424059163,7/9/14,5,3.5,5430,10327,2,0,2,3,10,4010,1420,2007,0,98006,47.5476,-122.116,4340,10324,1240000
-2140950130,9/11/14,4,2.5,2990,7928,2,0,0,3,9,2990,0,2011,0,98010,47.3139,-122.024,2810,7401,440000
-1776230190,4/8/15,4,3.5,3170,3858,2,0,0,3,8,2530,640,2008,0,98059,47.5049,-122.155,2640,3844,495000
-3524039224,5/13/14,4,2.5,3520,6773,2.5,0,0,3,9,2650,870,2006,0,98136,47.5317,-122.391,2930,6458,870000
-5694500840,11/25/14,2,3,1650,960,3,0,0,3,8,1350,300,2015,0,98103,47.6611,-122.346,1650,3000,559000
-4014400381,5/7/14,4,2.75,2656,21195,2,0,0,3,9,2656,0,2014,0,98001,47.3162,-122.272,1860,16510,495000
-2838000130,2/13/15,3,2.5,2230,4850,2,0,0,3,8,2230,0,2014,0,98133,47.7295,-122.334,2230,4513,722000
-8562770430,7/2/14,3,2.5,2280,2502,2,0,0,3,8,1880,400,2006,0,98027,47.5364,-122.073,2280,2812,567500
-1402970020,12/17/14,4,2.5,2798,5085,2,0,0,3,9,2798,0,2011,0,98092,47.3308,-122.187,2502,5707,440000
-3943600020,8/29/14,4,2.5,2398,5988,2,0,0,3,8,2398,0,2008,0,98055,47.452,-122.204,2370,5988,400000
-1438000430,10/6/14,4,2.5,2350,3760,2,0,0,3,8,2350,0,2014,0,98059,47.4786,-122.123,2590,4136,459995
-1601600167,5/7/14,5,2.75,2410,5003,1,0,0,3,7,1410,1000,2008,0,98118,47.5298,-122.274,1590,5003,365000
-1773100541,4/17/15,3,2.25,1580,920,3,0,0,3,8,1580,0,2015,0,98106,47.5578,-122.363,1250,1150,389950
-1773100924,7/8/14,3,3.25,1450,1387,2,0,0,3,8,1180,270,2013,0,98106,47.5556,-122.362,1450,1198,320000
-982850080,6/13/14,4,2.5,1750,4779,2,0,0,3,7,1750,0,2009,0,98028,47.7608,-122.232,1580,4687,415500
-7628700050,3/9/15,3,2.5,3020,4120,2,0,0,3,9,2360,660,2008,0,98126,47.5714,-122.373,2280,4120,775000
-8673400020,3/11/15,3,3,1740,1100,3,0,0,3,8,1740,0,2007,0,98107,47.67,-122.391,1370,1180,590000
-8725950170,1/23/15,2,2.25,2200,2043,2,0,0,3,9,1760,440,2007,0,98004,47.6213,-122.2,2020,1957,950000
-6306800080,8/6/14,4,2.5,1867,15314,2,0,0,3,9,1867,0,2013,0,98030,47.3524,-122.198,2616,8048,378950
-3362401763,5/8/14,2,1.5,1020,1060,3,0,0,3,8,1020,0,2008,0,98103,47.6801,-122.348,1340,1415,441750
-301401630,10/31/14,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.345,-122.209,2475,4000,335900
-6056110780,6/27/14,2,1.75,1110,1773,2,0,0,3,8,1110,0,2014,0,98108,47.5647,-122.293,1420,2855,229800
-6819100352,3/10/15,3,2.5,1900,1258,2.5,0,0,3,7,1700,200,2007,0,98119,47.6465,-122.358,1780,1877,645000
-9297302031,4/23/15,3,3.25,1560,1345,2,0,0,3,8,1260,300,2009,0,98126,47.5637,-122.375,1560,4800,448000
-7203150080,12/16/14,4,2.5,2510,5436,2,0,0,3,8,2510,0,2011,0,98053,47.6894,-122.016,2520,5436,706000
-2937300050,2/27/15,4,4.75,4150,6303,3,0,0,3,9,4150,0,2014,0,98052,47.7047,-122.123,3570,6285,988990
-9521100029,7/16/14,3,3,1660,1849,3,0,0,3,9,1660,0,2013,0,98103,47.6649,-122.353,1660,3300,716000
-832700170,4/21/15,2,1.5,1090,847,3,0,0,3,8,1090,0,2009,0,98133,47.7235,-122.352,1090,1118,319000
-6817750440,10/14/14,4,2.5,1914,3272,2,0,0,3,8,1914,0,2009,0,98055,47.4297,-122.189,1714,3250,300000
-123059127,5/2/14,4,3.25,2730,54014,1,0,0,3,9,1560,1170,2007,0,98059,47.5133,-122.11,2730,111274,625000
-3630200430,5/14/14,3,2.75,2470,3600,2,0,0,3,9,2470,0,2007,0,98029,47.5406,-121.994,2570,3600,773000
-3448740430,9/25/14,5,2.5,2340,5670,2,0,0,3,7,2340,0,2009,0,98059,47.4913,-122.152,2190,4869,392000
-1438000190,9/11/14,4,3.5,2660,5690,2,0,0,3,8,1920,740,2014,0,98059,47.4775,-122.122,2970,5690,549995
-7853320250,9/20/14,3,2.5,2410,4656,2,0,0,3,7,2410,0,2009,0,98065,47.5203,-121.874,2410,4840,480000
-100300280,10/20/14,3,2.25,1430,4777,2,0,0,3,7,1430,0,2010,0,98059,47.4867,-122.152,1639,3854,355000
-8862500280,12/30/14,2,2.5,1570,1268,3,0,0,3,7,1570,0,2007,0,98106,47.534,-122.365,1570,1300,208400
-1042700080,8/22/14,5,2.75,3010,4919,2,0,0,3,9,3010,0,2014,0,98074,47.6067,-122.052,3230,5415,831548
-4051150080,11/17/14,4,2.5,1613,4338,2,0,0,3,7,1613,0,2009,0,98042,47.3859,-122.162,1427,4341,279500
-5592200010,2/27/15,3,2.5,2380,5269,2,0,0,3,8,2380,0,2008,0,98056,47.5066,-122.192,2150,7600,445000
-7787920080,6/16/14,5,2.5,2570,9962,2,0,0,3,8,2570,0,2006,0,98019,47.7275,-121.957,2890,9075,492500
-3448740190,7/9/14,4,2.5,2550,5200,2,0,0,3,7,2550,0,2009,0,98059,47.4919,-122.153,2550,4660,435000
-8822900122,5/12/15,3,2.25,1330,969,3,0,0,3,7,1330,0,2007,0,98125,47.7177,-122.292,1310,1941,325000
-4083300098,11/17/14,2,1.5,1160,1269,2,0,0,3,7,970,190,2005,0,98103,47.6608,-122.335,1700,3150,453000
-1438000170,8/22/14,5,3.5,3240,6919,2,0,0,3,8,2760,480,2014,0,98059,47.4779,-122.122,2970,5690,612995
-7853360480,9/4/14,4,2.5,2710,9248,2,0,0,3,7,2710,0,2011,0,98065,47.5164,-121.875,2710,5000,540000
-522059130,4/29/15,3,1,1150,18200,1,0,0,5,7,1150,0,1959,0,98058,47.4262,-122.187,1714,18200,465000
-4385700185,8/12/14,3,2.25,1860,1386,3,0,0,3,9,1860,0,2014,0,98112,47.6368,-122.279,1680,3080,799950
-2768301476,11/24/14,3,2.25,1280,1517,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,495000
-1862400541,2/28/15,3,2.5,1810,1585,3,0,0,3,7,1810,0,2014,0,98117,47.6957,-122.376,1560,1586,579950
-8562780280,2/20/15,2,2.25,1240,720,2,0,0,3,7,1150,90,2008,0,98027,47.5322,-122.072,1260,810,331000
-9528101061,8/25/14,4,3.5,1460,951,3,0,0,3,8,1460,0,2008,0,98115,47.6821,-122.326,1430,1282,580000
-6056110460,4/14/15,2,2.5,1640,1953,2,0,0,3,10,1640,0,2014,0,98118,47.5639,-122.292,1820,2653,669000
-2154970020,7/3/14,4,4.25,5010,19412,2,0,1,3,11,4000,1010,2014,0,98040,47.5455,-122.211,3820,17064,2350000
-5694500497,1/16/15,3,3.25,1300,1325,2,0,0,3,8,1080,220,2005,0,98103,47.6584,-122.346,1290,1323,539900
-7708200670,7/23/14,4,2.5,2510,4349,2,0,0,3,8,2510,0,2010,0,98059,47.4927,-122.147,2510,4314,490000
-8562770050,5/27/14,3,3.5,2710,3475,2,0,0,3,8,1650,1060,2005,0,98027,47.5359,-122.072,2440,2867,627000
-1441000470,7/28/14,4,3.5,3217,4000,2,0,0,3,8,2587,630,2008,0,98055,47.4483,-122.203,2996,5418,458000
-6056100293,11/10/14,3,2.5,1650,4929,2,0,0,3,7,1520,130,2007,0,98108,47.5634,-122.298,1520,2287,440000
-6600000050,3/10/15,4,3.5,3950,6240,2,0,0,3,11,3950,0,2015,0,98112,47.6221,-122.29,2040,6240,1700000
-1732800199,5/11/15,2,2.5,1680,977,3,0,0,3,9,1680,0,2009,0,98119,47.632,-122.361,1680,977,935000
-7853360470,4/17/15,5,3.5,3420,6403,2,0,2,3,8,2700,720,2013,0,98065,47.5162,-121.874,2710,6038,641000
-3438501583,9/11/14,3,2.75,2300,5090,2,0,0,3,8,1700,600,2007,0,98106,47.545,-122.36,1530,9100,452000
-7853370250,12/23/14,4,2.75,3010,6854,2,0,2,3,9,2570,440,2012,0,98065,47.5171,-121.876,1830,2952,625000
-2387600010,3/3/15,4,3.5,4680,12495,2,0,0,3,10,3040,1640,2008,0,98033,47.6984,-122.206,3240,10749,1350000
-8946780080,9/8/14,5,3.5,3630,4911,2,0,0,3,9,2790,840,2014,0,98034,47.718,-122.156,3600,4992,834950
-9402800005,10/28/14,3,3.5,3530,3610,2,0,0,3,10,2370,1160,2008,0,98103,47.6857,-122.339,1780,3610,1500000
-5422950080,8/25/14,4,2.5,2280,3800,2,0,0,3,7,2280,0,2006,0,98038,47.3586,-122.036,2630,4045,305000
-2826079027,11/12/14,3,2.5,3090,384634,2,0,0,3,8,3090,0,2007,0,98019,47.7072,-121.927,2200,292645,659000
-6003000851,5/22/14,1,1,550,1279,2,0,0,3,7,550,0,2008,0,98122,47.616,-122.314,1460,1385,353000
-7394400080,3/4/15,4,3.25,2840,4000,2,0,3,3,9,2330,510,2014,0,98108,47.5529,-122.293,2160,4867,535000
-1238501184,7/8/14,4,2.5,3130,10849,2,0,0,3,10,3130,0,2013,0,98033,47.6828,-122.186,2470,9131,999000
-263000009,1/29/15,3,2.5,1440,1102,3,0,0,3,8,1440,0,2009,0,98103,47.6995,-122.346,1440,1434,375000
-5101408889,6/16/14,4,3.5,2840,4637,3,0,0,3,8,2840,0,2008,0,98125,47.7033,-122.321,1730,5279,685000
-7299601410,8/8/14,4,2.5,2623,7184,2,0,0,3,8,2623,0,2012,0,98092,47.259,-122.202,2010,4939,333000
-9266700190,5/11/15,1,1,390,2000,1,0,0,4,6,390,0,1920,0,98103,47.6938,-122.347,1340,5100,245000
-2424059174,5/8/15,4,3.25,5640,35006,2,0,2,3,11,4900,740,2015,0,98006,47.5491,-122.104,4920,35033,2000000
-8562780290,10/15/14,2,2.25,1260,1032,2,0,0,3,7,1170,90,2008,0,98027,47.5323,-122.072,1240,809,329950
-5100400244,4/20/15,2,1,894,1552,2,0,0,3,7,894,0,2011,0,98115,47.6911,-122.313,1131,1992,403000
-3744000130,11/11/14,4,2.5,3370,4934,2,0,0,3,9,3370,0,2014,0,98038,47.3562,-122.022,2980,5046,559630
-993001976,8/18/14,3,2.25,1250,871,3,0,0,3,8,1250,0,2007,0,98103,47.6907,-122.343,1250,1158,344000
-525049174,4/2/15,3,1.5,1180,1231,3,0,0,3,7,1180,0,2008,0,98115,47.6845,-122.315,1280,3360,435000
-5393600562,5/22/14,2,2.5,1520,1588,2,0,0,3,8,1240,280,2007,0,98144,47.5825,-122.313,1660,6000,430000
-4187000190,11/17/14,3,2.5,2000,4500,2,0,0,3,7,2000,0,2010,0,98059,47.4937,-122.149,2230,4501,417000
-2862500190,4/9/15,5,2.75,3180,9255,2,0,0,3,9,3180,0,2014,0,98074,47.6232,-122.023,3180,7782,895950
-5045700470,3/19/15,4,2.75,3050,4750,2,0,0,3,8,3050,0,2014,0,98059,47.4857,-122.153,2730,5480,563950
-2924079034,9/25/14,3,1.5,2580,47480,1,0,0,3,7,1360,1220,1953,0,98024,47.5333,-121.933,1760,48181,332220
-8835770170,8/22/14,5,6,6880,279968,2,0,3,3,12,4070,2810,2007,0,98045,47.4624,-121.779,4690,256803,1490000
-3630200480,6/12/14,3,2.5,2570,3600,2.5,0,0,3,9,2570,0,2007,0,98027,47.5412,-121.994,2570,3600,680000
-8562790080,2/9/15,4,3.5,2950,3737,2,0,0,3,10,2270,680,2012,0,98027,47.5313,-122.074,2580,3581,825750
-8165500780,12/9/14,3,2.5,1690,1760,2,0,0,3,8,1410,280,2014,0,98106,47.5387,-122.367,1740,1760,338000
-1442870050,7/18/14,4,2.75,2790,6969,2,0,0,3,8,2790,0,2012,0,98045,47.4836,-121.769,2620,6307,535365
-1704900303,12/11/14,3,2.25,1720,5234,2,0,0,3,9,1240,480,2011,0,98118,47.5547,-122.278,1720,5825,608000
-6132600655,10/16/14,3,2.25,2890,5000,3,0,0,3,9,2890,0,2014,0,98117,47.6983,-122.389,2020,5000,930000
-3421069049,10/21/14,2,1.75,1130,276170,1,0,0,3,8,1130,0,2006,0,98022,47.2673,-122.027,2092,217800,565000
-7169500130,12/19/14,2,2.25,1460,1623,2,0,0,3,8,1260,200,2005,0,98115,47.6764,-122.301,1460,1137,495000
-8732900840,7/22/14,3,2.5,2510,3819,2,0,0,3,8,2510,0,2007,0,98052,47.6987,-122.096,2520,3990,667000
-5379803372,11/12/14,4,2.5,3390,7870,2,0,0,3,8,3390,0,2014,0,98188,47.4536,-122.274,1960,10069,495000
-2937300430,9/29/14,4,2.5,3570,6054,2,0,0,3,9,3570,0,2014,0,98052,47.7053,-122.126,3600,6050,928990
-5422950020,6/30/14,4,2.5,2280,5000,2,0,0,3,7,2280,0,2006,0,98038,47.3593,-122.037,2910,5000,345000
-3797001702,12/16/14,5,3.5,2920,3000,2,0,0,3,9,2260,660,2014,0,98103,47.6846,-122.349,1580,4000,1070000
-1438000130,7/3/14,4,3,2590,6160,2,0,0,3,8,2590,0,2014,0,98059,47.4784,-122.122,2670,5600,519995
-1853080130,11/5/14,5,2.75,3210,8001,2,0,0,3,9,3210,0,2014,0,98074,47.5935,-122.061,3190,6624,924000
-741500010,4/24/15,3,2,1230,3405,1,0,0,3,7,1230,0,2010,0,98058,47.438,-122.179,1440,4066,295000
-3123089027,7/21/14,3,2.5,3800,104979,2,0,0,3,8,3210,590,2005,0,98045,47.4304,-121.841,2040,109771,472000
-3630080190,8/1/14,3,2.5,1500,2314,2,0,0,3,7,1500,0,2005,0,98029,47.5537,-121.998,1440,2170,405000
-3782760080,7/18/14,4,2.25,2510,4090,2,0,0,3,8,1840,670,2012,0,98019,47.7345,-121.967,2070,4090,410000
-8024200684,11/25/14,3,1.5,1400,1091,3,0,0,3,8,1400,0,2007,0,98115,47.6989,-122.317,1270,1413,419500
-982850020,9/3/14,3,2.25,1450,4667,2,0,0,3,7,1450,0,2009,0,98028,47.7611,-122.233,1490,4667,382000
-5649600462,2/24/15,2,2.5,1390,1821,2,0,0,3,7,1180,210,2007,0,98118,47.5537,-122.282,1350,1821,370000
-3449820430,10/6/14,3,2.75,3160,9072,2,0,0,3,9,3160,0,2005,0,98056,47.5147,-122.177,3160,9072,553000
-9533100285,6/30/14,4,3.75,4350,7965,2,0,0,3,10,4350,0,2013,0,98004,47.6289,-122.205,2190,8557,2070000
-923059259,4/1/15,4,2.5,2720,5771,2,0,0,3,8,2720,0,2015,0,98056,47.4917,-122.17,1940,4184,455950
-6431000748,10/27/14,3,3.25,1290,1153,3,0,0,3,7,1290,0,2008,0,98103,47.6904,-122.346,1290,1200,331000
-3753000010,5/7/14,3,2.25,1606,1452,3,0,0,3,8,1606,0,2009,0,98125,47.7175,-122.284,1516,1939,417250
-6169901185,5/20/14,5,3.5,4460,2975,3,0,2,3,10,3280,1180,2015,0,98119,47.6313,-122.37,2490,4231,490000
-2309710150,8/4/14,4,3.25,2800,5291,2,0,0,3,7,2800,0,2011,0,98022,47.1937,-121.977,2380,5291,325000
-1773600264,2/23/15,5,3.5,3250,4800,2,0,0,3,9,2410,840,2010,0,98106,47.5618,-122.362,1330,4920,705000
-6061500100,7/17/14,6,3.5,4310,7760,2,0,0,3,10,3260,1050,2013,0,98059,47.5297,-122.155,4620,10217,1170000
-1282300995,2/22/15,3,2.25,1310,915,2,0,0,3,7,1060,250,2007,0,98144,47.5738,-122.293,1500,1215,365000
-597000593,11/17/14,2,1.5,1240,1101,2,0,0,3,8,1080,160,2009,0,98144,47.5758,-122.309,1530,1209,403000
-7853321110,8/13/14,3,2.5,1950,7263,2,0,0,3,7,1950,0,2007,0,98065,47.5194,-121.869,2190,5900,409000
-3278612450,4/7/15,3,2.5,1800,1120,2,0,0,3,8,1800,0,2011,0,98126,47.5436,-122.369,1800,2380,391000
-1438000120,6/16/14,4,2.5,2650,5600,2,0,0,3,8,2650,0,2014,0,98059,47.4786,-122.122,2650,5600,542525
-9521100301,5/7/14,2,1,820,681,3,0,0,3,8,820,0,2006,0,98103,47.6619,-122.352,820,1156,339950
-1442870040,8/19/14,4,2.75,2620,7001,2,0,0,3,8,2620,0,2012,0,98045,47.4838,-121.769,2620,6543,499990
-644000115,9/23/14,4,3.25,3980,10249,2,0,0,3,10,3980,0,2011,0,98004,47.5873,-122.196,2450,10912,1770000
-6372000297,3/23/15,3,3.5,1660,2298,2,0,0,3,8,1260,400,2009,0,98116,47.5809,-122.403,1500,2198,608000
-6600060150,3/12/15,4,2.5,2130,4028,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.363,1830,7817,392000
-774101755,4/17/15,3,1.75,1790,66250,1.5,0,0,3,7,1790,0,2003,0,98014,47.7179,-121.403,1440,59346,320000
-2895800750,4/17/15,3,1.75,1410,1988,2,0,0,3,8,1410,0,2014,0,98106,47.5171,-122.347,1410,1899,274800
-2424039029,4/27/15,3,2.25,1330,1198,2,0,0,3,8,1080,250,2007,0,98106,47.555,-122.362,1260,1062,325000
-3448740360,4/29/15,4,2.5,2190,4866,2,0,0,3,7,2190,0,2009,0,98059,47.4907,-122.152,2190,5670,418500
-3832050580,5/2/14,3,2.5,2540,5050,2,0,0,3,7,2540,0,2006,0,98042,47.3358,-122.055,2280,5050,300000
-3094000210,1/5/15,3,2.5,2244,4079,2,0,0,3,7,2244,0,2012,0,98001,47.2606,-122.254,2077,4078,269950
-321030150,5/6/15,3,2.5,2026,7611,2,0,0,3,8,2026,0,2010,0,98042,47.3733,-122.162,2270,7611,358000
-7694200090,5/4/15,3,2.5,1730,4086,2,0,0,3,8,1730,0,2013,0,98146,47.5016,-122.341,2030,4086,350000
-3299710110,5/28/14,4,3.5,3910,8095,2,0,0,3,9,3130,780,2007,0,98029,47.5588,-122.036,3770,7021,782000
-3879900754,9/15/14,3,2.5,1580,1487,3,0,1,3,9,1580,0,2009,0,98119,47.6276,-122.359,1610,1297,779000
-8732900300,12/17/14,4,2.5,2510,3479,2,0,0,3,8,2510,0,2007,0,98052,47.6981,-122.099,2540,4171,685000
-6021503698,5/29/14,2,2.25,1000,905,3,0,0,3,8,1000,0,2006,0,98117,47.6842,-122.387,980,1023,305000
-3333000745,4/17/15,4,2.5,1660,2500,2,0,0,3,7,1660,0,2007,0,98118,47.5437,-122.283,1030,5000,350000
-3630220220,9/23/14,4,3.5,3060,4573,2,0,0,3,9,2410,650,2012,0,98029,47.5522,-122.001,3170,3634,775000
-9478500180,8/28/14,3,2.5,1980,4500,2,0,0,3,7,1980,0,2012,0,98042,47.3682,-122.117,1980,4500,317750
-2771602427,5/8/14,2,1,980,1179,2,0,0,3,8,980,0,2010,0,98119,47.6381,-122.375,1190,1600,438000
-1498301168,5/28/14,2,2.5,1050,1609,2,0,0,3,7,1050,0,2005,0,98144,47.5854,-122.313,1120,1693,325000
-8562790580,4/28/15,4,3.25,3080,4287,2,0,0,3,10,2230,850,2012,0,98027,47.5313,-122.076,2250,2520,830000
-2325400040,9/22/14,3,2.25,1900,3800,2,0,0,3,7,1900,0,2006,0,98059,47.4866,-122.16,1950,3800,353000
-5045700330,7/25/14,4,2.5,2200,6400,2,0,0,3,8,2200,0,2010,0,98059,47.4856,-122.156,2600,5870,460000
-3126049498,3/16/15,3,1.5,1360,1167,3,0,0,3,8,1360,0,2008,0,98103,47.6962,-122.349,1360,1167,370000
-9578140360,6/19/14,3,2.5,2238,7209,2,0,0,3,8,2238,0,2011,0,98023,47.2966,-122.353,2456,7212,330000
-3343901408,1/28/15,4,2.5,2590,6474,2,0,0,3,8,2590,0,2014,0,98056,47.5164,-122.19,1960,8679,569888
-7859910110,9/18/14,3,2.5,2517,3900,2,0,0,3,8,2517,0,2014,0,98092,47.3211,-122.182,2390,7108,353900
-7852120180,3/4/15,4,3.5,3510,9084,2,0,0,3,10,3510,0,2001,0,98065,47.5402,-121.875,3690,9568,695000
-9268850180,7/18/14,3,1.75,1290,1237,2,0,0,3,7,1060,230,2008,0,98027,47.54,-122.026,1370,942,288790
-6031400092,2/13/15,5,3,2230,8642,1,0,0,3,7,1330,900,2014,0,98168,47.487,-122.32,2100,11056,334950
-1853080790,12/15/14,4,2.75,3140,7928,2,0,0,3,9,3140,0,2013,0,98074,47.5923,-122.058,3500,7055,869950
-1624049291,10/8/14,3,3.5,3350,5025,2,0,2,3,8,2670,680,2014,0,98144,47.5699,-122.296,2030,5117,557500
-7237450100,9/19/14,4,2.5,2245,4330,2,0,0,3,8,2245,0,2014,0,98038,47.3557,-122.063,2530,4478,389990
-9521100214,6/4/14,3,1.75,1420,1189,3,0,0,3,8,1420,0,2006,0,98103,47.6625,-122.352,1380,1196,455000
-5693501102,10/30/14,3,3,1560,2091,3,0,0,3,8,1560,0,2006,0,98103,47.6604,-122.352,1530,2091,598500
-6891100590,3/2/15,4,2.75,2810,5497,2,0,0,3,9,2810,0,2011,0,98052,47.7081,-122.116,2990,5842,750000
-2254501095,11/13/14,2,2.25,1630,1686,2,0,0,3,10,1330,300,2014,0,98122,47.6113,-122.314,1570,2580,729999
-9478550110,3/3/15,3,2.5,1740,4497,2,0,0,3,7,1740,0,2012,0,98042,47.3697,-122.117,1950,4486,299950
-993001961,7/9/14,3,2.25,1390,1484,3,0,0,3,8,1390,0,2007,0,98103,47.6912,-122.343,1250,1087,374950
-9274200028,2/19/15,3,2.5,1070,1089,2,0,0,3,7,900,170,2009,0,98116,47.5902,-122.387,1450,1437,386950
-7708200180,7/10/14,5,3.25,2850,4551,2,0,0,3,8,2370,480,2006,0,98059,47.4916,-122.144,2850,4849,535000
-8691430330,8/31/14,5,3.25,4100,7578,2,0,2,3,10,4100,0,2011,0,98075,47.5955,-121.974,3710,8156,890000
-8924100308,2/3/15,4,2.5,3260,5974,2,0,1,3,9,2820,440,2007,0,98115,47.6772,-122.267,2260,6780,1050000
-1070000180,10/15/14,4,3.5,3660,4760,2,0,0,3,9,2840,820,2014,0,98199,47.6482,-122.409,3210,4640,1110000
-1085623630,10/3/14,4,2.5,2708,4772,2,0,0,3,9,2708,0,2014,0,98092,47.3413,-122.178,2502,4900,436952
-3278605550,6/9/14,3,2.5,1800,2700,2,0,0,3,8,1800,0,2011,0,98126,47.5458,-122.369,1580,2036,365000
-1139000062,6/25/14,3,2.5,1150,887,3,0,0,3,7,1150,0,2007,0,98133,47.7072,-122.356,1180,915,288000
-2838000180,2/20/15,3,2.5,2230,4006,2,0,0,3,8,2230,0,2014,0,98133,47.73,-122.335,2230,4180,700000
-2725079018,5/9/14,4,3.25,3540,159430,2,0,0,3,9,3540,0,2007,0,98014,47.6285,-121.899,1940,392040,800000
-7104100110,5/11/15,4,3.5,2490,5500,2,0,0,3,9,1780,710,2015,0,98136,47.5499,-122.393,1710,5500,899000
-259500230,12/18/14,3,2.5,2670,4534,2,0,0,3,9,2670,0,2007,0,98056,47.51,-122.184,3040,5079,465750
-9523100712,6/18/14,2,2.5,1430,923,3,0,0,3,8,1410,20,2008,0,98103,47.6683,-122.355,1620,1505,485000
-1438000360,6/3/14,5,2.75,2670,3800,2,0,0,3,8,2670,0,2014,0,98059,47.4783,-122.123,2670,3800,494995
-1608000120,2/2/15,3,2.5,2555,5720,2,0,0,3,8,2555,0,2006,0,98031,47.386,-122.184,2844,5769,255000
-7853361120,7/29/14,3,2.5,1970,6295,2,0,0,3,7,1970,0,2011,0,98065,47.5158,-121.874,2710,6009,530000
-2461900448,6/16/14,3,2,1980,2674,3,0,0,3,8,1980,0,2007,0,98136,47.5524,-122.382,1440,2674,435000
-1703400910,8/11/14,3,2.5,2010,3300,2,0,0,3,9,1610,400,2014,0,98118,47.5573,-122.287,1660,4950,639000
-8024200683,7/9/14,3,1.5,1270,1413,3,0,0,3,8,1270,0,2007,0,98115,47.6989,-122.317,1270,1413,440000
-9544700730,5/15/14,4,2.5,3950,10856,3,0,0,3,10,3950,0,2013,0,98075,47.5818,-121.996,3200,10856,914500
-8682320900,11/5/14,3,2,1870,5300,1,0,0,3,8,1870,0,2009,0,98053,47.7106,-122.02,1870,5050,580000
-3278600750,4/7/15,1,1.5,1180,1688,2,0,0,3,8,1070,110,2007,0,98126,47.549,-122.372,1380,2059,250000
-5676000008,3/16/15,3,2.5,1420,1269,3,0,0,3,7,1420,0,2007,0,98103,47.6904,-122.342,1420,1300,410000
-3744000150,9/28/14,4,2.75,2810,5046,2,0,0,3,9,2810,0,2014,0,98038,47.3559,-122.022,3060,4934,531155
-3630080120,9/19/14,3,2.5,1400,1529,2,0,0,3,7,1400,0,2005,0,98029,47.5535,-121.997,1440,1536,358000
-7853360620,7/1/14,3,2.5,1950,5689,2,0,0,3,7,1950,0,2009,0,98065,47.5158,-121.873,2190,5653,425000
-255550100,7/11/14,3,2.25,1930,3462,2,0,0,3,7,1930,0,2004,0,98019,47.7453,-121.985,1930,2952,326000
-9268200484,5/13/14,4,2.5,2210,4861,2,0,0,3,9,2210,0,2013,0,98117,47.6959,-122.364,1590,5080,650000
-8562790720,5/14/15,4,3.5,2630,3757,2,0,0,3,10,2200,430,2008,0,98027,47.5322,-122.075,2620,2699,749950
-7140700690,3/12/15,3,1.75,1600,4888,1,0,0,3,6,1600,0,2014,0,98042,47.383,-122.097,2520,5700,239950
-3624039183,6/9/14,3,2.5,1480,1590,2,0,0,3,8,1150,330,2010,0,98106,47.5302,-122.362,1480,5761,315000
-2254502071,5/23/14,2,2.5,750,1430,2,0,0,3,8,750,0,2006,0,98122,47.6093,-122.31,1320,2790,375000
-4310702838,4/27/15,3,1.5,1290,1213,3,0,0,3,8,1290,0,2007,0,98103,47.6965,-122.34,1360,1227,375000
-6431000749,9/22/14,3,3.25,1340,1151,3,0,0,3,7,1340,0,2008,0,98103,47.6904,-122.346,1290,1200,349000
-3362401761,2/25/15,2,1.5,1020,1049,3,0,0,3,8,1020,0,2008,0,98103,47.68,-122.348,1350,1395,450000
-3629700120,10/14/14,3,3,2330,1944,2.5,0,0,3,8,1950,380,2014,0,98027,47.5446,-122.016,2290,1407,669950
-3226049565,7/11/14,5,3,2360,5000,1,0,0,3,7,1390,970,2008,0,98103,47.6931,-122.33,2180,5009,504600
-567000408,6/2/14,3,2.5,1495,936,3,0,0,3,8,1405,90,2006,0,98144,47.593,-122.295,1495,1186,400000
-825059349,7/1/14,4,3.5,3770,8501,2,0,0,3,10,3770,0,2008,0,98033,47.6744,-122.196,1520,9660,1020000
-7787920230,4/8/15,5,2.5,2890,13104,2,0,0,3,8,2890,0,2006,0,98019,47.7277,-121.958,3020,9300,518000
-5694000706,8/13/14,3,2.75,1320,1125,3,0,0,3,8,1320,0,2008,0,98103,47.6598,-122.348,1320,1266,535000
-1760650900,7/21/14,4,2.5,2330,4907,2,0,0,3,7,2330,0,2013,0,98042,47.359,-122.081,2300,3836,337500
-2021000180,3/10/15,4,2.5,3120,5001,2,0,0,3,9,3120,0,2005,0,98023,47.2779,-122.349,3120,5244,380000
-6400700389,7/10/14,5,3,2960,15152,2,0,0,3,9,2960,0,2004,0,98033,47.6689,-122.179,1850,9453,875000
-6431000987,9/2/14,3,2.25,1630,1598,3,0,0,3,8,1630,0,2008,0,98103,47.6904,-122.347,1320,1605,385000
-2311400056,12/1/14,5,3.5,5230,8960,2,0,0,3,11,4450,780,2014,0,98004,47.5964,-122.201,2310,9603,1990000
-3224059107,5/8/15,4,3,3150,6599,2,0,0,3,9,3150,0,2008,0,98056,47.5279,-122.199,2680,9430,649500
-1245002281,5/12/14,4,3.75,3280,11000,2,0,0,3,10,2320,960,2008,0,98033,47.6855,-122.201,2400,8351,1050000
-121039156,1/9/15,3,1,1030,24750,1,0,2,3,5,1030,0,1943,0,98023,47.3343,-122.362,2810,28800,249000
-9211000110,10/3/14,4,2.5,3130,5795,2,0,0,3,9,3130,0,2008,0,98059,47.4997,-122.151,2950,5259,525000
-7625702263,6/12/14,3,3.5,1240,1666,2,0,0,3,7,1000,240,2008,0,98136,47.5496,-122.388,1110,1027,402000
-8085400586,11/1/14,4,2.75,3560,8975,2,0,0,3,10,3560,0,2014,0,98004,47.6322,-122.209,3440,12825,1750000
-2895800590,10/20/14,5,2.5,2170,2752,2,0,0,3,8,2170,0,2014,0,98106,47.5167,-122.347,1800,2752,359800
-100300530,9/25/14,3,2.5,1520,3003,2,0,0,3,7,1520,0,2009,0,98059,47.4876,-122.153,1820,3030,330000
-4092302096,3/25/15,3,2.5,1270,1062,2,0,0,3,8,1060,210,2008,0,98105,47.6568,-122.321,1260,1112,433000
-7010700308,11/12/14,4,3.25,3610,4000,2,0,0,3,9,2640,970,2007,0,98199,47.658,-122.396,1980,4000,1010000
-7853370100,4/6/15,3,2.75,3230,5200,2,0,0,3,9,2680,550,2014,0,98065,47.519,-121.878,3100,4900,599832
-6181500120,6/23/14,5,3,2300,8214,2,0,0,3,8,2300,0,2013,0,98001,47.3052,-122.276,2594,4950,312891
-567000775,9/12/14,2,2.5,1460,1296,2,0,0,3,8,1160,300,2008,0,98144,47.5923,-122.296,1460,1296,449000
-3331000035,5/27/14,3,2.5,1750,1548,3,0,0,3,9,1750,0,2013,0,98118,47.5532,-122.282,1750,3960,495000
-4216500110,5/15/14,5,2.75,3030,10335,2,0,0,3,9,3030,0,2013,0,98056,47.5305,-122.184,2720,11213,819995
-2776600082,11/13/14,3,3.5,1522,1465,2,0,0,3,8,1248,274,2006,0,98117,47.6922,-122.375,1522,1341,407500
-323079058,1/5/15,4,3.75,3890,22000,2,0,0,3,10,3890,0,2007,0,98027,47.5052,-121.906,1610,23142,850000
-1088100450,7/25/14,5,4,4590,35046,2,0,0,3,10,4590,0,2008,0,98033,47.6647,-122.16,3350,35857,1720000
-98300230,4/28/15,4,4,4620,130208,2,0,0,3,10,4620,0,2014,0,98024,47.5885,-121.939,4620,131007,1460000
-847100047,9/17/14,4,2.75,3220,9825,2,0,0,3,8,3220,0,2012,0,98059,47.4863,-122.143,2820,8566,579000
-1853080150,8/11/14,5,2.75,3170,8093,2,0,0,3,9,3170,0,2014,0,98075,47.5933,-122.06,3210,7062,890776
-6021503707,1/20/15,2,2.5,980,1010,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,352500
-9512200090,5/1/15,3,1.75,2340,7724,1,0,0,3,10,2340,0,2010,0,98058,47.4593,-122.134,3040,5787,529000
-9268850040,3/27/15,3,2.25,1620,1425,3,0,0,3,8,1540,80,2009,0,98027,47.5405,-122.026,1620,1237,484000
-7283900306,4/17/15,3,2.5,1910,4408,3,0,0,3,8,1910,0,2007,0,98133,47.7634,-122.35,1910,8154,400000
-1980200236,4/17/15,3,2.5,2420,6847,2,0,0,3,9,2420,0,2009,0,98133,47.7329,-122.356,1180,8100,649950
-2413910120,7/2/14,3,4.5,3850,62726,2,0,0,3,10,3120,730,2013,0,98053,47.6735,-122.058,2630,46609,915000
-7787920180,5/4/15,5,2.5,3220,10572,2,0,0,3,8,3220,0,2006,0,98019,47.7268,-121.957,2890,9090,534950
-1283800110,5/6/14,4,2.5,3040,6425,2,0,0,3,8,3040,0,2008,0,98052,47.6788,-122.117,3040,7800,776000
-6140100028,5/1/15,3,1.75,1496,1423,2,0,0,3,8,1248,248,2006,0,98133,47.715,-122.355,1460,1423,370000
-1972200555,7/14/14,3,1.75,1630,1500,3,0,0,3,8,1630,0,2014,0,98103,47.6536,-122.354,1570,1335,610000
-6891100090,10/14/14,5,3.5,4200,5400,2,0,0,3,9,3140,1060,2012,0,98052,47.7077,-122.12,3300,5564,850000
-3438503021,11/5/14,3,2.5,2430,7049,2,0,0,3,8,2430,0,2007,0,98106,47.5399,-122.352,1770,7049,443000
-4233600150,2/3/15,5,4.25,4010,8252,2,0,0,3,10,4010,0,2015,0,98075,47.5974,-122.013,3370,8252,1150000
-2770601782,8/1/14,3,2.5,1510,1618,2.5,0,0,3,8,1330,180,2011,0,98199,47.6515,-122.384,1350,1397,453000
-9268851020,4/10/15,4,3.5,2340,2810,2,0,2,3,8,1730,610,2011,0,98027,47.5403,-122.028,2600,2843,735000
-8682291050,7/8/14,2,2.75,2700,8572,1,0,0,3,9,2700,0,2007,0,98053,47.7236,-122.033,2680,8569,810000
-9468200109,6/17/14,3,3.5,4360,6240,2,0,3,3,10,2960,1400,2008,0,98103,47.6791,-122.354,1920,3910,1560000
-2524069097,5/9/14,5,6.5,7270,130017,2,0,0,3,12,6420,850,2010,0,98027,47.5371,-121.982,1800,44890,2240000
-7625702441,8/8/14,3,2.5,1350,886,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,377500
-9521100866,6/18/14,3,3.25,1380,1120,3,0,0,3,8,1380,0,2008,0,98103,47.6617,-122.349,1310,1405,482000
-148000072,8/18/14,2,2.5,1830,1988,2,0,0,3,9,1530,300,2011,0,98116,47.5779,-122.409,1800,2467,600000
-1493300057,8/7/14,3,2.5,1470,1571,2,0,0,3,8,1180,290,2007,0,98116,47.5722,-122.387,1580,4329,420000
-3304030220,4/21/15,4,2.5,2940,9172,2,0,0,3,9,2940,0,2006,0,98001,47.3444,-122.269,2660,7955,480000
-7625702277,3/31/15,2,2,1110,1095,3,0,0,3,7,980,130,2008,0,98136,47.5494,-122.388,1110,1083,406000
-1023059465,5/13/14,4,2.5,2790,5602,2,0,0,3,8,2790,0,2009,0,98059,47.4959,-122.15,2790,5309,505000
-3262300818,2/27/15,4,3.75,3790,8797,2,0,0,3,11,3290,500,2006,0,98039,47.6351,-122.236,2660,12150,1870000
-2937300040,12/15/14,4,2.5,3570,6218,2,0,0,3,9,3570,0,2014,0,98052,47.7046,-122.123,3230,5972,942990
-2768100206,10/1/14,3,2.25,1230,1097,3,0,0,3,8,1230,0,2009,0,98107,47.6697,-122.372,1420,1437,440000
-7904700134,6/26/14,3,3.25,1370,913,2,0,0,3,8,1100,270,2006,0,98116,47.5636,-122.388,1370,915,390000
-9521100867,7/11/14,3,3.25,1380,1121,3,0,0,3,8,1380,0,2008,0,98103,47.6617,-122.349,1310,1405,475000
-1702901618,4/7/15,1,2,1070,675,2,0,0,3,8,880,190,2007,0,98118,47.5574,-122.284,1220,788,420000
-7237550100,8/25/14,4,4,4920,50621,2,0,0,3,10,4280,640,2012,0,98053,47.6575,-122.006,4920,74052,1410000
-7430500110,12/9/14,5,3.5,5150,12230,2,0,2,3,10,3700,1450,2007,0,98008,47.6249,-122.09,2940,13462,1380000
-603000555,3/2/15,6,3,2390,4000,2,0,0,3,7,2390,0,2014,0,98118,47.5173,-122.286,1680,5000,462500
-3304300300,5/7/15,4,2.75,2460,8643,2,0,0,3,9,2460,0,2011,0,98059,47.4828,-122.133,3110,8626,579950
-6453550090,5/5/15,4,2.5,3650,7090,2,0,0,3,10,3650,0,2008,0,98074,47.606,-122.052,3860,7272,861111
-2625069038,11/24/14,4,3.5,4300,108865,2,0,0,3,11,4300,0,2014,0,98074,47.6258,-122.005,4650,107498,1450000
-1760650820,4/28/15,3,2.25,1610,3764,2,0,0,3,7,1610,0,2012,0,98042,47.3589,-122.083,1610,3825,290000
-9578060230,6/18/14,4,2.5,2610,4595,2,0,0,3,8,2610,0,2008,0,98028,47.7728,-122.235,2440,4588,535000
-3416600750,2/17/15,3,2.5,1750,1381,3,0,0,3,8,1750,0,2008,0,98122,47.6021,-122.294,1940,4800,585000
-2487200490,6/23/14,3,2.5,3310,5300,2,0,2,3,8,2440,870,2008,0,98136,47.5178,-122.389,2140,7500,670000
-8964800330,4/7/15,4,3.75,5090,14823,1,0,0,3,11,4180,910,2013,0,98004,47.62,-122.207,3030,12752,3000000
-5637500082,12/3/14,3,2,1060,1184,2,0,0,3,7,730,330,2006,0,98136,47.5443,-122.385,1270,1601,346000
-324069112,6/17/14,4,4,4420,16526,2,0,0,3,11,4420,0,2013,0,98075,47.5914,-122.027,3510,50447,1330000
-524059322,2/26/15,3,2.5,2100,4097,2,0,0,3,9,2100,0,2008,0,98004,47.5983,-122.2,1780,4764,999999
-889000025,8/11/14,3,1.75,1650,1180,3,0,0,3,8,1650,0,2014,0,98105,47.6636,-122.319,1720,1960,599000
-2909310100,10/15/14,4,2.5,2380,5737,2,0,0,3,7,2380,0,2010,0,98023,47.2815,-122.356,2380,5396,332000
-8562780180,6/12/14,2,2.25,1170,1011,2,0,0,3,7,1170,0,2009,0,98027,47.5321,-122.073,1240,750,336750
-1043000100,12/11/14,4,2.5,2531,6843,2,0,0,3,8,2531,0,2013,0,98030,47.385,-122.189,2604,6238,370000
-1865400076,5/9/14,3,2.25,998,904,2,0,0,3,7,798,200,2007,0,98117,47.6983,-122.367,998,1110,324000
-8902000201,2/19/15,3,2.25,1333,1470,3,0,3,3,7,1333,0,2009,0,98125,47.7058,-122.302,1360,1680,338500
-715010530,1/13/15,5,3.5,4410,13000,2,0,3,3,10,2920,1490,2014,0,98006,47.5382,-122.111,5790,12969,1880000
-4253400100,4/10/15,3,2.75,1160,1073,2,0,0,3,7,880,280,2007,0,98144,47.5788,-122.315,1250,5400,402723
-3874900085,2/27/15,4,3.25,2630,7770,2,0,0,3,9,2630,0,2014,0,98126,47.5459,-122.377,1370,7770,715000
-1972200227,10/7/14,3,1.5,1160,1031,3,0,0,3,8,1160,0,2008,0,98103,47.6538,-122.357,1268,1688,459000
-8562770720,4/23/15,3,2.5,2140,3628,2,0,0,3,8,1960,180,2006,0,98027,47.537,-122.074,2280,2812,589999
-6669080120,12/15/14,4,2.5,1980,5020,2,0,0,3,7,1980,0,2007,0,98056,47.5147,-122.19,1980,5064,405000
-9211010300,7/7/14,3,2.5,3030,9053,2,0,0,3,8,3030,0,2009,0,98059,47.4945,-122.149,3010,6026,509900
-3277800823,8/20/14,2,2,1490,1627,2,0,0,3,8,1190,300,2009,0,98126,47.5455,-122.375,1400,1498,327000
-8835770330,8/19/14,2,1.5,2370,184231,2,0,0,3,11,2370,0,2005,0,98045,47.4543,-121.778,3860,151081,1060000
-1220000371,12/31/14,3,2.5,1820,1866,2,0,0,3,8,1570,250,2008,0,98166,47.4643,-122.346,1660,6900,327500
-880000205,7/29/14,3,2,1260,1125,2,0,0,3,7,810,450,2011,0,98106,47.5262,-122.361,1260,1172,249000
-1561750040,12/24/14,5,4.5,4350,13405,2,0,0,3,11,4350,0,2014,0,98074,47.6018,-122.06,3990,7208,1380000
-688000017,6/27/14,1,1.25,1100,638,3,0,0,3,9,1100,0,2014,0,98112,47.6228,-122.307,1110,1933,516500
-2522059251,4/9/15,3,2.5,2050,15035,2,0,0,3,9,2050,0,2006,0,98042,47.3619,-122.122,1300,15836,465000
-2855000110,8/8/14,3,2.5,2198,6222,2,0,2,3,8,2198,0,2010,0,98198,47.3906,-122.304,2198,7621,388000
-6821101731,9/30/14,3,2.25,1230,1380,3,0,0,3,8,1230,0,2013,0,98199,47.6521,-122.4,1760,5664,549000
-476000017,10/3/14,2,2,1400,1512,2,0,0,3,8,940,460,2006,0,98107,47.6719,-122.392,1400,3500,553000
-2770603523,4/22/15,3,2.5,1410,1250,2,0,0,3,8,1140,270,2010,0,98119,47.6515,-122.375,1720,2825,530000
-2255500123,8/20/14,3,2.5,2110,1339,2,0,0,3,8,1410,700,2014,0,98122,47.6088,-122.311,1630,2670,747450
-3438501329,5/20/14,2,2.5,1590,2656,2,0,0,3,7,1220,370,2009,0,98106,47.5489,-122.364,1590,2306,305000
-423059387,11/18/14,5,2.5,3370,4850,2,0,0,3,9,3370,0,2007,0,98056,47.5078,-122.169,2900,5570,540000
-6664500090,1/15/15,5,4,4500,8130,2,0,0,3,10,4500,0,2007,0,98059,47.4832,-122.145,2840,8402,750000
-2122059216,4/14/15,4,2.5,2930,5973,2,0,0,3,10,2930,0,2008,0,98030,47.3846,-122.186,3038,7095,422000
-9406530090,10/20/14,4,2.5,2470,5100,2,0,0,3,8,2470,0,2005,0,98038,47.3622,-122.041,2240,5123,337000
-7168100015,10/9/14,5,2.75,3080,5752,2,0,0,3,9,3080,0,2014,0,98059,47.4922,-122.153,3000,4650,579950
-5007500120,2/26/15,4,2.75,2260,4440,2,0,0,3,7,2260,0,2014,0,98001,47.3507,-122.291,2260,4563,341780
-3528900770,4/23/15,4,3,1670,2642,2,0,0,3,8,1350,320,2008,0,98109,47.6397,-122.345,1670,2594,710200
-9521100031,6/18/14,3,3.25,1540,1428,3,0,0,3,9,1540,0,2013,0,98103,47.6648,-122.353,1660,3300,690000
-524059330,1/30/15,4,3.5,3830,8963,2,0,0,3,10,3120,710,2014,0,98004,47.599,-122.197,2190,10777,1700000
-6021503705,10/15/14,2,2.5,980,1020,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,329000
-3438501862,5/13/14,3,2.5,1450,5008,1,0,0,3,7,840,610,2007,0,98106,47.5435,-122.357,2120,5019,330000
-3345700207,5/2/15,4,3.5,2850,5577,2,0,0,3,8,1950,900,2014,0,98056,47.5252,-122.192,2850,5708,608500
-6056111067,7/7/14,3,1.75,1140,1201,2,0,0,3,8,1140,0,2014,0,98108,47.5637,-122.295,1210,1552,230000
-8562790760,5/20/14,4,3.5,3070,4684,2,0,0,3,10,2190,880,2009,0,98027,47.5316,-122.076,2290,2664,785000
-1931300090,5/7/14,3,3,1680,1570,3,0,0,3,8,1680,0,2014,0,98103,47.6572,-122.346,1640,4800,610950
-9578500790,11/11/14,3,2.5,3087,5002,2,0,0,3,8,3087,0,2014,0,98023,47.2974,-122.349,2927,5183,399950
-9253900271,1/7/15,5,4.5,4850,10584,2,1,4,3,10,3540,1310,2007,0,98008,47.5943,-122.11,3470,18270,3570000
-3881900317,1/23/15,4,3.25,1900,2631,2,0,0,3,9,1250,650,2014,0,98144,47.5869,-122.311,1710,4502,579000
-567000385,6/23/14,2,1.5,940,1768,2,0,0,3,7,940,0,2009,0,98144,47.5925,-122.295,1130,1159,362500
-7011201004,5/29/14,3,3.25,1730,1229,2,0,2,3,9,1320,410,2008,0,98119,47.6374,-122.369,1710,1686,645000
-7853420110,10/3/14,3,3,2780,6000,2,0,0,3,9,2780,0,2013,0,98065,47.5184,-121.886,2850,6000,594866
-7853420110,5/4/15,3,3,2780,6000,2,0,0,3,9,2780,0,2013,0,98065,47.5184,-121.886,2850,6000,625000
-3052700432,11/12/14,3,2.25,1500,1290,2,0,0,3,8,1220,280,2006,0,98117,47.6785,-122.375,1460,1375,490000
-2025049203,6/10/14,2,1,710,1157,2,0,0,4,7,710,0,1943,0,98102,47.6413,-122.329,1370,1173,399950
-952006823,12/2/14,3,2.5,1260,900,2,0,0,3,7,940,320,2007,0,98116,47.5621,-122.384,1310,1415,380000
-3832050760,8/28/14,3,2.5,1870,5000,2,0,0,3,7,1870,0,2009,0,98042,47.3339,-122.055,2170,5399,270000
-2767604724,10/15/14,2,2.5,1430,1201,3,0,0,3,8,1430,0,2009,0,98107,47.6707,-122.381,1430,1249,505000
-6632300207,3/5/15,3,2.5,1520,1488,3,0,0,3,8,1520,0,2006,0,98125,47.7337,-122.309,1520,1497,385000
-2767600688,11/13/14,2,1.5,1210,1278,2,0,0,3,8,1020,190,2007,0,98117,47.6756,-122.375,1210,1118,414500
-7570050450,9/10/14,3,2.5,2540,4760,2,0,0,3,8,2540,0,2010,0,98038,47.3452,-122.022,2540,4571,347500
-7430200100,5/14/14,4,3.5,4910,9444,1.5,0,0,3,11,3110,1800,2007,0,98074,47.6502,-122.066,4560,11063,1220000
-4140940150,10/2/14,4,2.75,2770,3852,2,0,0,3,8,2770,0,2014,0,98178,47.5001,-122.232,1810,5641,572000
-1931300412,4/16/15,3,2.25,1190,1200,3,0,0,3,8,1190,0,2008,0,98103,47.6542,-122.346,1180,1224,475000
-8672200110,3/17/15,5,3.75,4170,8142,2,0,2,3,10,4170,0,2006,0,98056,47.5354,-122.181,3030,7980,1090000
-5087900040,10/17/14,4,2.75,2500,5995,2,0,0,3,8,2500,0,2008,0,98042,47.3749,-122.107,2530,5988,350000
-1972201967,10/31/14,2,2.25,1530,981,3,0,0,3,8,1480,50,2006,0,98103,47.6533,-122.346,1530,1282,520000
-7502800100,8/13/14,5,2.75,3600,9437,2,0,0,3,9,3600,0,2014,0,98059,47.4822,-122.131,3550,9421,679950
-191100405,4/21/15,4,3.25,3410,10125,2,0,0,3,10,3410,0,2007,0,98040,47.5653,-122.223,2290,10125,1580000
-8956200760,10/13/14,4,2.5,3118,7866,2,0,2,3,9,3118,0,2014,0,98001,47.2931,-122.264,2673,6500,541800
-7202300110,9/15/14,4,3,3990,7838,2,0,0,3,9,3990,0,2003,0,98053,47.6857,-122.046,3370,6814,810000
-249000205,10/15/14,5,3.75,4470,8088,2,0,0,3,11,4470,0,2008,0,98004,47.6321,-122.2,2780,8964,1540000
-5100403806,4/7/15,3,2.5,1425,1179,3,0,0,3,8,1425,0,2008,0,98125,47.6963,-122.318,1285,1253,467000
-844000965,6/26/14,3,1.75,1500,11968,1,0,0,3,6,1500,0,2014,0,98010,47.3095,-122.002,1320,11303,224000
-7852140040,8/25/14,3,2.5,2270,5536,2,0,0,3,8,2270,0,2003,0,98065,47.5389,-121.881,2270,5731,507250
-9834201367,1/26/15,3,2,1490,1126,3,0,0,3,8,1490,0,2014,0,98144,47.5699,-122.288,1400,1230,429000
-3448900210,10/14/14,4,2.5,2520,6023,2,0,0,3,9,2520,0,2014,0,98056,47.5137,-122.167,2520,6023,610685
-7936000429,3/26/15,4,3.5,3510,7200,2,0,0,3,9,2600,910,2009,0,98136,47.5537,-122.398,2050,6200,1010000
-2997800021,2/19/15,3,2.5,1310,1294,2,0,0,3,8,1180,130,2008,0,98116,47.5773,-122.409,1330,1265,475000
-263000018,5/21/14,3,2.5,1530,1131,3,0,0,3,8,1530,0,2009,0,98103,47.6993,-122.346,1530,1509,360000
-6600060120,2/23/15,4,2.5,2310,5813,2,0,0,3,8,2310,0,2014,0,98146,47.5107,-122.362,1830,7200,400000
-1523300141,6/23/14,2,0.75,1020,1350,2,0,0,3,7,1020,0,2009,0,98144,47.5944,-122.299,1020,2007,402101
-291310100,1/16/15,3,2.5,1600,2388,2,0,0,3,8,1600,0,2004,0,98027,47.5345,-122.069,1410,1287,400000
-1523300157,10/15/14,2,0.75,1020,1076,2,0,0,3,7,1020,0,2008,0,98144,47.5941,-122.299,1020,1357,325000
\ No newline at end of file
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+7129300520,10/13/2014,3,1,1180,5650,1,0,0,3,7,1180,0,1955,0,98178,47.5112,-122.257,1340,5650,221900
+6414100192,12/9/2014,3,2.25,2570,7242,2,0,0,3,7,2170,400,1951,1991,98125,47.721,-122.319,1690,7639,538000
+5631500400,2/25/2015,2,1,770,10000,1,0,0,3,6,770,0,1933,0,98028,47.7379,-122.233,2720,8062,180000
+2487200875,12/9/2014,4,3,1960,5000,1,0,0,5,7,1050,910,1965,0,98136,47.5208,-122.393,1360,5000,604000
+1954400510,2/18/2015,3,2,1680,8080,1,0,0,3,8,1680,0,1987,0,98074,47.6168,-122.045,1800,7503,510000
+7237550310,5/12/2014,4,4.5,5420,101930,1,0,0,3,11,3890,1530,2001,0,98053,47.6561,-122.005,4760,101930,1230000
+1321400060,6/27/2014,3,2.25,1715,6819,2,0,0,3,7,1715,0,1995,0,98003,47.3097,-122.327,2238,6819,257500
+2008000270,1/15/2015,3,1.5,1060,9711,1,0,0,3,7,1060,0,1963,0,98198,47.4095,-122.315,1650,9711,291850
+2414600126,4/15/2015,3,1,1780,7470,1,0,0,3,7,1050,730,1960,0,98146,47.5123,-122.337,1780,8113,229500
+3793500160,3/12/2015,3,2.5,1890,6560,2,0,0,3,7,1890,0,2003,0,98038,47.3684,-122.031,2390,7570,323000
+1736800520,4/3/2015,3,2.5,3560,9796,1,0,0,3,8,1860,1700,1965,0,98007,47.6007,-122.145,2210,8925,662500
+9212900260,5/27/2014,2,1,1160,6000,1,0,0,4,7,860,300,1942,0,98115,47.69,-122.292,1330,6000,468000
+114101516,5/28/2014,3,1,1430,19901,1.5,0,0,4,7,1430,0,1927,0,98028,47.7558,-122.229,1780,12697,310000
+6054650070,10/7/2014,3,1.75,1370,9680,1,0,0,4,7,1370,0,1977,0,98074,47.6127,-122.045,1370,10208,400000
+1175000570,3/12/2015,5,2,1810,4850,1.5,0,0,3,7,1810,0,1900,0,98107,47.67,-122.394,1360,4850,530000
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+2767601872,1/19/2015,2,3,1570,1281,3,0,0,3,8,1570,0,2014,0,98107,47.6741,-122.384,1570,2500,657000
+255370570,11/20/2014,4,3.5,2690,5564,2,0,0,3,7,2690,0,2007,0,98038,47.3537,-122.018,2210,4046,359950
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+6749700004,3/30/2015,2,1,840,863,3,0,0,3,8,840,0,2008,0,98103,47.6974,-122.349,1110,1190,291000
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+6666830320,3/24/2015,5,3.5,3220,5081,2,0,0,3,8,3220,0,2013,0,98052,47.7048,-122.111,2970,5753,950968
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+9831200159,8/6/2014,3,3.25,3890,3452,2,0,0,3,12,2890,1000,2006,0,98102,47.626,-122.323,2860,2199,2250000
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+1245003330,7/31/2014,4,2.5,2880,9003,2,0,0,3,10,2880,0,2008,0,98033,47.6844,-122.199,2640,8126,1260000
+1176001124,2/24/2015,3,2.5,1480,1531,3,0,0,3,8,1480,0,2014,0,98107,47.669,-122.402,1530,1321,598950
+7853360990,1/2/2015,3,2.5,1950,4949,2,0,0,3,7,1950,0,2009,0,98065,47.5155,-121.87,2200,5740,430000
+7853320030,11/24/2014,4,2.75,2700,5150,2,0,0,3,9,2700,0,2009,0,98065,47.5209,-121.874,2700,5747,515000
+7576200012,7/17/2014,2,3,2210,3917,2,0,0,3,10,1500,710,2008,0,98122,47.6166,-122.291,1720,3933,1260000
+7207900030,6/9/2014,4,3.5,2370,3692,2.5,0,0,3,8,2370,0,2013,0,98056,47.5044,-122.17,2520,5425,400000
+952006827,4/22/2015,3,2.5,1310,1254,2,0,0,3,7,850,460,2007,0,98116,47.5622,-122.384,1310,1372,390000
+7853321090,10/1/2014,3,2.5,2410,4293,2,0,0,3,7,2410,0,2007,0,98065,47.5196,-121.869,2190,5900,450000
+1042700060,5/16/2014,5,1.5,3360,5402,2,0,0,3,9,3360,0,2014,0,98074,47.6067,-122.053,3360,5415,804995
+2597490140,3/26/2015,4,3.25,3040,4155,2,0,0,3,8,2350,690,2013,0,98029,47.5429,-122.012,2680,4000,825000
+7852130800,5/13/2014,4,2.25,2140,6355,2,0,0,3,7,2140,0,2002,0,98065,47.5367,-121.88,2480,5746,435000
+7625702967,6/9/2014,3,2.5,1720,1715,2,0,0,3,7,1240,480,2004,0,98136,47.5481,-122.384,1610,1626,398000
+3845100640,6/5/2014,4,2.5,2658,3960,2,0,0,3,9,2658,0,2014,0,98092,47.2603,-122.194,2578,4200,411605
+1773100922,12/8/2014,3,3.25,1480,983,2,0,0,3,8,1180,300,2013,0,98106,47.5555,-122.363,1330,1062,315000
+2770602493,11/20/2014,2,2,1350,1209,3,0,0,3,8,1350,0,2013,0,98199,47.649,-122.383,1310,982,455000
+475000187,5/1/2015,3,2.5,1150,1194,2,0,0,3,8,1020,130,2006,0,98107,47.6684,-122.365,1450,1714,452950
+6056100383,5/20/2014,3,1.75,1690,1468,2,0,0,3,8,1380,310,2008,0,98108,47.563,-122.297,1690,1936,380000
+6056111370,11/24/2014,2,1.75,1270,1916,2,0,0,3,8,1270,0,2012,0,98108,47.5648,-122.294,1140,1916,340000
+9578500510,11/3/2014,3,2.5,2655,5080,2,0,0,3,8,2655,0,2013,0,98023,47.2972,-122.348,2879,5232,409950
+9828701488,5/4/2015,2,1,880,1165,2,0,0,3,8,880,0,2005,0,98122,47.6192,-122.297,1640,3825,360000
+6600000217,4/3/2015,4,4.25,4645,7757,2,0,0,3,10,3855,790,2006,0,98112,47.6248,-122.29,2150,6970,1600000
+8024200685,5/20/2014,3,1.5,1270,1443,3,0,0,3,8,1270,0,2007,0,98115,47.699,-122.317,1270,1413,440000
+2923039264,9/10/2014,2,1.75,1728,95950,1,0,3,3,9,1728,0,2012,0,98070,47.4579,-122.443,1720,35735,730000
+8073900070,5/22/2014,3,2.25,1950,7221,1,0,0,4,8,1950,0,2006,0,98188,47.431,-122.285,2310,8125,408000
+2419700030,8/25/2014,4,2.5,3170,3862,3,0,0,3,8,3170,0,2008,0,98034,47.6705,-122.145,2840,4181,820000
+9396700024,7/31/2014,2,2.5,1233,1244,2,0,0,3,7,963,270,2007,0,98136,47.5533,-122.381,1230,1300,360000
+3845100160,6/20/2014,3,2.5,2570,4600,2,0,0,3,8,2570,0,2014,0,98092,47.2582,-122.196,2570,5000,339990
+9126100814,10/8/2014,3,2,1560,1020,3,0,0,3,8,1560,0,2014,0,98122,47.605,-122.304,1560,1728,515000
+1982201595,1/21/2015,3,1.75,1630,1166,2,0,0,3,8,1020,610,2013,0,98107,47.6646,-122.367,1420,1670,541000
+8151600973,4/6/2015,4,2.5,2510,7245,2,0,0,3,9,2510,0,2007,0,98146,47.5096,-122.363,1830,8900,375000
+2722059322,10/20/2014,4,2.5,2223,5780,2,0,0,3,8,2223,0,2010,0,98042,47.3586,-122.157,1690,7766,320000
+8562780090,2/27/2015,2,2.25,1230,1058,2,0,0,3,7,1160,70,2008,0,98027,47.5325,-122.073,1240,817,325000
+3346300356,3/18/2015,5,2.75,3050,7520,2,0,0,3,8,3050,0,2014,0,98056,47.5245,-122.184,2180,10800,740000
+7237450600,10/30/2014,5,2.75,2710,6220,2,0,0,3,8,2710,0,2014,0,98038,47.3555,-122.061,2530,4759,450000
+8944550100,7/23/2014,4,2.5,2090,4400,2,0,0,3,8,2090,0,2011,0,98118,47.5403,-122.286,2090,3430,455000
+3438502437,2/3/2015,3,2.5,1440,1068,2,0,0,3,8,1160,280,2006,0,98106,47.5393,-122.361,1580,1483,292500
+2423069039,8/6/2014,3,2.5,2500,51836,1,0,0,3,9,1510,990,2013,0,98027,47.4694,-121.989,2270,54450,650000
+8011100047,3/6/2015,4,2.75,2740,7872,2,0,0,3,10,2740,0,2015,0,98056,47.4954,-122.172,1220,6300,530000
+1042700300,8/4/2014,5,3.25,3360,6120,2,0,0,3,9,3360,0,2014,0,98074,47.607,-122.053,3230,5398,829995
+1776460110,12/23/2014,4,2.75,2280,5013,2,0,0,3,8,2280,0,2009,0,98019,47.7333,-121.976,2130,5121,395000
+293070090,7/11/2014,4,2.75,3520,5500,2,0,0,3,9,3520,0,2014,0,98074,47.6181,-122.056,3340,5500,859990
+7548301044,7/10/2014,2,1.5,1320,826,2,0,0,3,8,1100,220,2008,0,98144,47.5879,-122.304,1340,1213,342500
+7203160090,12/5/2014,4,2.75,3410,5838,2,0,0,3,9,3410,0,2012,0,98053,47.6931,-122.022,3420,7048,743000
+8096800110,12/15/2014,3,2.25,2730,9388,1,0,0,3,7,1390,1340,1975,0,98030,47.3785,-122.185,2255,5701,345000
+3278600900,12/31/2014,3,2.5,1780,2778,2,0,0,3,8,1530,250,2007,0,98126,47.5487,-122.372,1380,1998,443000
+4051150100,9/29/2014,3,2.5,1427,4337,2,0,0,3,7,1427,0,2009,0,98042,47.3857,-122.162,1443,4347,260000
+925059311,7/22/2014,4,2.5,2910,6555,2,0,0,3,9,2910,0,2005,0,98033,47.6659,-122.172,2910,10419,810000
+4305600100,12/22/2014,4,2.75,3250,5600,2,0,0,3,8,3250,0,2011,0,98059,47.4806,-122.125,2730,5667,570000
+2311400195,3/3/2015,5,3.5,3630,8100,2,0,0,3,10,3630,0,2008,0,98004,47.5951,-122.2,1730,8246,1560000
+1732800194,11/13/2014,2,2.5,1680,975,3,0,0,3,9,1680,0,2009,0,98119,47.6321,-122.361,1680,977,840000
+5015001452,4/14/2015,3,2.5,2280,2296,3,0,0,3,9,1890,390,2013,0,98112,47.6256,-122.299,1390,4000,950000
+7853430690,1/27/2015,3,2.5,3310,4682,2,0,0,3,9,2380,930,2015,0,98065,47.5201,-121.885,2660,5166,572800
+3821700038,10/1/2014,3,3,1290,1112,3,0,0,3,7,1290,0,2008,0,98125,47.7282,-122.296,1230,9000,305000
+5078400215,7/30/2014,5,4.75,3940,7067,2,0,0,3,10,3230,710,2008,0,98004,47.6232,-122.205,1910,7735,1700000
+1773100315,8/27/2014,4,2.5,2170,6000,2,0,0,3,7,1630,540,2008,0,98106,47.5589,-122.365,1720,5668,445000
+2224069165,9/2/2014,4,3.5,3290,8059,2,0,0,3,9,3290,0,2012,0,98029,47.5573,-122.02,3290,10758,801000
+9510861140,7/14/2014,3,2.5,2550,5376,2,0,0,3,9,2550,0,2004,0,98052,47.6647,-122.083,2250,4050,711000
+3277801431,8/27/2014,3,2.25,1140,977,2,0,0,3,7,850,290,2008,0,98126,47.5439,-122.375,1140,976,268500
+1760650750,10/6/2014,4,2.5,2300,3825,2,0,0,3,7,2300,0,2012,0,98042,47.3594,-122.082,2110,3825,320000
+1607100038,9/21/2014,4,3.25,2670,5001,1,0,0,3,9,1640,1030,2013,0,98108,47.5666,-122.293,1610,5001,500000
+1862400176,5/5/2014,4,2.5,2440,6651,2,0,0,3,9,2440,0,2014,0,98117,47.6971,-122.371,1350,7653,631625
+5457801833,1/27/2015,2,2.5,1611,2210,2,0,2,3,10,1611,0,2005,0,98109,47.6291,-122.347,2070,2182,850000
+8562770110,10/27/2014,3,3.5,2710,3290,2,0,0,3,8,1650,1060,2006,0,98027,47.5367,-122.072,2440,3290,600000
+2623039019,5/8/2014,3,2.75,2015,16807,2,1,4,3,9,2015,0,2007,0,98166,47.45,-122.377,1780,12310,988500
+9578500690,3/27/2015,4,3.25,3444,5166,2,0,0,3,8,2714,730,2014,0,98023,47.2966,-122.348,2848,5182,430236
+711000110,9/15/2014,3,2.5,3060,9576,2,0,0,3,10,3060,0,2005,0,98004,47.5928,-122.199,3060,9579,1270000
+2597490750,4/28/2015,4,2.5,2050,2772,2,0,0,3,8,2050,0,2013,0,98029,47.5431,-122.011,1800,2886,689500
+6056100165,12/1/2014,3,1.5,1390,1882,2,0,0,3,7,1390,0,2014,0,98108,47.5667,-122.297,1490,2175,175003
+2767603824,9/15/2014,2,2.5,1240,1249,3,0,0,3,8,1240,0,2006,0,98107,47.6718,-122.386,1240,2500,459000
+7237550110,4/24/2015,4,3.25,3750,74052,2,0,0,3,10,3750,0,2013,0,98053,47.658,-122.006,4920,74052,1180000
+2325300037,9/2/2014,3,3.25,1410,1442,3,0,0,3,8,1360,50,2006,0,98125,47.7183,-122.317,1500,1200,358000
+1085623710,7/14/2014,4,2.5,2448,4949,2,0,0,3,9,2448,0,2014,0,98030,47.3428,-122.179,2815,5446,447055
+774100475,6/27/2014,3,2.75,2600,64626,1.5,0,0,3,8,2600,0,2009,0,98014,47.7185,-121.405,1740,64626,415000
+1489300215,10/13/2014,4,3.25,3330,9000,2,0,0,3,9,2870,460,2004,0,98033,47.6836,-122.208,2550,6349,1210000
+9828702902,10/21/2014,2,2.25,1160,1010,2,0,0,3,8,1000,160,2006,0,98112,47.6207,-122.301,1200,1170,495000
+6371000100,11/20/2014,2,2.25,1330,1380,2,0,0,3,8,1060,270,2005,0,98116,47.577,-122.41,1580,4802,479000
+2025069140,3/17/2015,3,2.5,2830,4334,3,1,4,3,10,2830,0,2006,0,98074,47.6318,-122.071,2830,38211,1900000
+2781280300,10/16/2014,3,2.5,1610,3517,2,0,0,3,8,1610,0,2005,0,98055,47.4496,-122.189,1830,2889,249900
+9551201240,10/30/2014,4,2.5,2800,4000,2,0,0,3,9,2800,0,2011,0,98103,47.6695,-122.339,1770,4200,1470000
+2726059144,4/10/2015,5,3.75,4570,10194,2,0,0,3,11,4570,0,2006,0,98034,47.718,-122.161,2040,7560,1040000
+5363200100,10/20/2014,4,2.5,2820,6120,2,0,0,3,9,2820,0,2014,0,98115,47.6911,-122.293,1510,6120,897000
+1725059330,3/27/2015,4,2.5,2570,9470,2,0,0,3,9,2570,0,2006,0,98033,47.6548,-122.19,2570,10663,1100000
+7234601140,11/13/2014,3,2.25,1710,1193,2,0,0,3,9,1140,570,2014,0,98122,47.6173,-122.31,1510,1193,685000
+3057000300,9/30/2014,3,1.5,1220,3286,2,0,0,3,7,1220,0,1982,0,98033,47.7168,-122.189,1220,2640,295000
+1972200553,8/4/2014,3,2.25,1650,946,3,0,0,3,8,1650,0,2014,0,98103,47.6536,-122.354,1570,1283,619000
+6371000148,11/25/2014,2,1.5,1130,1340,2,0,0,3,8,910,220,2008,0,98116,47.5761,-122.41,1310,1340,439108
+301400850,2/20/2015,3,2.25,1489,2800,2,0,0,3,7,1489,0,2011,0,98002,47.3452,-122.215,1584,3200,260000
+1123049232,6/6/2014,5,2.5,2690,5557,2,0,0,3,7,2690,0,2012,0,98178,47.4914,-122.253,2090,10500,279000
+3654200037,3/30/2015,3,2.25,1530,1305,2,0,0,3,7,1116,414,2007,0,98177,47.7034,-122.357,1320,1427,380000
+7299601790,11/7/2014,3,2.5,1600,6315,2,0,0,3,8,1600,0,2013,0,98092,47.2611,-122.198,1608,4300,287000
+2771101921,12/11/2014,2,1.5,1000,1251,2,0,0,3,7,930,70,2006,0,98199,47.6529,-122.384,1420,1187,377000
+3566800485,2/23/2015,4,3.5,2440,3012,3,0,1,3,8,2440,0,2005,0,98117,47.6923,-122.392,1860,4650,649950
+2767601311,10/24/2014,3,2.5,1260,1102,3,0,0,3,8,1260,0,2007,0,98107,47.675,-122.387,1320,2500,445000
+9137101696,5/4/2015,3,2.5,1660,1692,3,0,0,3,7,1610,50,2005,0,98115,47.6801,-122.322,1210,1230,605000
+9528104345,9/23/2014,3,2.25,1190,1137,2,0,0,3,7,960,230,1999,0,98115,47.677,-122.325,1190,1080,475000
+3753000100,8/28/2014,3,3,1520,1884,3,0,0,3,8,1520,0,2009,0,98125,47.7176,-122.284,1360,1939,399000
+6798100690,4/20/2015,5,2.75,3250,8100,2,0,0,3,8,3250,0,2014,0,98125,47.7133,-122.311,1270,8100,718000
+148000475,5/28/2014,4,3.25,4700,9160,1,0,4,3,11,2520,2180,2005,0,98116,47.5744,-122.406,2240,8700,1400000
+3277801417,5/16/2014,3,2.5,1480,1663,2,0,0,3,9,1180,300,2012,0,98126,47.5443,-122.375,1380,1537,341000
+8682320090,5/19/2014,2,2.5,2380,9374,1,0,2,3,8,2380,0,2011,0,98053,47.7095,-122.019,1610,5000,818000
+9828701507,12/2/2014,3,2.25,1640,1873,3,0,0,3,8,1640,0,2014,0,98112,47.6196,-122.297,1640,3920,759000
+3362400432,6/11/2014,3,3.5,1650,2262,3,0,0,3,8,1650,0,2010,0,98103,47.6823,-122.347,1620,3166,547500
+856000195,5/21/2014,5,4.75,5305,8401,2,0,2,3,11,3745,1560,2005,0,98033,47.6864,-122.215,2960,7200,2700000
+9396700028,7/22/2014,2,2.5,1278,987,2,0,0,3,7,1002,276,2007,0,98136,47.5532,-122.381,1220,1287,358000
+8850000018,10/1/2014,3,2.5,1200,813,3,0,0,3,9,1200,0,2010,0,98144,47.5894,-122.315,1750,4365,412000
+9524100207,1/30/2015,2,1.5,690,1058,2,0,0,3,7,690,0,2005,0,98103,47.6951,-122.343,690,1058,245000
+1085623350,10/7/2014,4,2.5,3202,4964,2,0,0,3,9,3202,0,2014,0,98030,47.3412,-122.179,2425,4886,460940
+7663700973,5/22/2014,3,2.25,1347,1292,3,0,0,3,7,1347,0,2010,0,98125,47.7306,-122.291,1480,1865,321000
+7853420100,6/23/2014,4,3.5,2960,6000,2,0,0,3,9,2960,0,2014,0,98065,47.5183,-121.886,2960,6000,633634
+1025039168,9/23/2014,1,0.75,740,1284,1,0,0,4,6,740,0,1928,0,98107,47.6741,-122.406,1430,3988,290000
+476000110,4/1/2015,2,2.25,1200,1137,3,0,0,3,7,1200,0,2007,0,98107,47.6715,-122.392,1280,1295,445000
+2254100090,4/7/2015,5,3.5,4320,7502,2,0,0,3,9,3500,820,2012,0,98056,47.5235,-122.168,3250,7538,887250
+8682320600,9/11/2014,3,2.5,2310,7348,1,0,3,3,8,2310,0,2010,0,98053,47.7116,-122.019,2310,7153,739000
+9834201366,12/16/2014,3,2,1490,1286,3,0,0,3,8,1490,0,2014,0,98144,47.57,-122.288,1420,1230,429900
+7625702451,1/6/2015,3,2,1480,800,2,0,0,3,8,1000,480,2014,0,98136,47.5492,-122.387,1480,886,459000
+301402120,6/25/2014,3,2.25,1481,2820,2,0,0,3,7,1481,0,2012,0,98002,47.3457,-122.217,1481,3028,240000
+6382500076,9/10/2014,3,3,1730,1902,3,0,0,3,8,1730,0,2014,0,98117,47.6944,-122.377,1830,1804,566950
+3758900259,5/7/2014,4,3.5,3900,8391,2,0,0,3,10,3900,0,2006,0,98033,47.6979,-122.205,3820,12268,1040000
+3126049446,3/10/2015,3,3.5,1130,1449,3,0,0,3,7,1130,0,2005,0,98103,47.6968,-122.348,1130,1200,343000
+3744000100,11/11/2014,4,3.25,3230,4838,2,0,0,3,9,3230,0,2014,0,98038,47.3559,-122.023,2980,5094,572115
+9510860750,1/8/2015,5,3.5,3920,5150,2,0,0,3,9,2820,1100,2004,0,98052,47.6638,-122.084,3170,5530,918000
+7228500037,5/5/2015,2,1.5,1190,1361,2,0,0,3,8,1190,0,2007,0,98122,47.6161,-122.302,1280,3360,555000
+3814900750,7/16/2014,4,2.5,2311,4396,2,0,0,3,9,2311,0,2014,0,98092,47.3276,-122.163,2458,4616,399440
+1294300038,7/11/2014,3,2.5,1810,914,3,0,0,3,8,1380,430,2008,0,98116,47.5732,-122.387,1810,914,450000
+7853350090,6/4/2014,4,2.5,3290,6203,2,0,0,3,9,3290,0,2008,0,98065,47.5441,-121.86,2990,6835,648000
+9211010900,6/18/2014,4,2.5,3250,5000,2,0,0,3,8,3250,0,2008,0,98059,47.4988,-122.148,3230,5507,580000
+1085623250,3/31/2015,4,2.5,2544,4071,2,0,0,3,9,2544,0,2013,0,98030,47.341,-122.179,2358,4179,415000
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+7625703354,7/30/2014,3,2.25,1430,800,2,0,0,3,8,1140,290,2011,0,98136,47.5477,-122.388,1430,1387,384000
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+3880900236,8/22/2014,2,1.5,910,966,2,0,0,3,8,820,90,2006,0,98119,47.627,-122.361,2740,6400,455000
+1646502355,4/3/2015,4,3.25,3080,4120,2,0,0,3,9,2380,700,2014,0,98117,47.6845,-122.359,1410,4120,1280000
+2619950110,6/24/2014,3,2.5,2280,6031,2,0,0,3,8,2280,0,2011,0,98019,47.7322,-121.966,2430,7200,415000
+1964700054,12/22/2014,3,2.5,1660,1344,3,0,0,3,8,1660,0,2008,0,98102,47.644,-122.327,1750,2040,975000
+1926059039,10/6/2014,4,2.5,3320,7429,2,0,0,3,9,3320,0,2014,0,98034,47.7189,-122.225,1840,7429,799950
+3438500037,4/5/2015,5,4,1680,7268,1,0,0,3,8,1370,310,2008,0,98106,47.5571,-122.356,2040,8259,545000
+9578501110,10/3/2014,4,3.5,2584,5005,2,0,0,3,8,2584,0,2014,0,98023,47.296,-122.35,2767,5201,429900
+8856004786,7/29/2014,3,2.5,2217,8019,2,0,0,3,7,2217,0,2009,0,98001,47.2776,-122.251,1470,8037,275000
+7708200600,7/18/2014,3,2.5,2480,4136,2,0,0,3,8,2480,0,2009,0,98059,47.493,-122.147,2510,4314,498000
+9492500090,5/27/2014,3,2.5,2610,7256,2,0,0,3,9,2610,0,2014,0,98033,47.695,-122.18,2610,7206,754950
+8691440100,6/6/2014,4,3,3240,5562,2,0,0,3,10,3240,0,2013,0,98075,47.5919,-121.975,3380,5562,895000
+7222000090,5/6/2014,4,3.25,3569,8327,2,0,0,3,10,3569,0,2013,0,98055,47.4595,-122.208,2550,5251,580000
+3321049112,2/22/2015,4,2.5,3181,5831,2,0,0,3,8,3181,0,2014,0,98003,47.2716,-122.297,2056,24393,379900
+2911000100,3/10/2015,4,2.5,1921,4888,2,0,0,3,7,1921,0,2009,0,98001,47.2689,-122.24,1921,9140,245000
+3862710090,8/26/2014,3,2.5,1570,4926,2,0,0,3,8,1570,0,2014,0,98065,47.5342,-121.842,1800,3202,417000
+8648900110,5/5/2014,3,2.5,1940,3211,2,0,0,3,8,1940,0,2009,0,98027,47.5644,-122.093,1880,3078,555000
+8648900110,8/26/2014,3,2.5,1940,3211,2,0,0,3,8,1940,0,2009,0,98027,47.5644,-122.093,1880,3078,555000
+6791400100,9/10/2014,4,2.5,2210,13721,2,0,0,3,8,2210,0,2009,0,98042,47.3122,-122.039,1850,12951,353000
+2768301477,4/25/2015,3,2.25,1280,1187,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,539000
+126039256,9/4/2014,3,2,1520,5040,2,0,0,3,7,1520,0,1977,2006,98177,47.777,-122.362,1860,8710,434900
+8562780110,12/2/2014,2,2.25,1230,1078,2,0,0,3,7,1160,70,2008,0,98027,47.5324,-122.073,1240,817,325000
+8032700110,4/9/2015,3,2.5,1480,2159,3,0,0,3,8,1480,0,2007,0,98103,47.6533,-122.341,1480,1554,650000
+5635100090,2/25/2015,4,2.5,2612,5850,2,0,0,3,8,2612,0,2014,0,98030,47.3751,-122.189,2419,8984,379950
+2597490300,11/19/2014,3,2.5,2350,4975,2,0,0,3,8,2350,0,2012,0,98029,47.5418,-122.01,2350,3951,700000
+9301300805,12/15/2014,3,2.5,1300,1590,2,0,0,3,8,1100,200,2014,0,98109,47.6384,-122.343,1070,1223,675000
+3449000300,6/9/2014,4,1.5,2020,7560,1,0,0,4,7,2020,0,1960,0,98059,47.502,-122.146,1410,8080,379000
+8562770490,3/30/2015,3,2.5,2140,2867,2,0,0,3,8,1960,180,2005,0,98027,47.5357,-122.073,2280,2836,571000
+3052700464,10/24/2014,3,2.25,1380,1621,2,0,0,3,8,1140,240,2007,0,98117,47.678,-122.375,1460,1403,475000
+9276200569,5/9/2014,4,3.5,2730,3047,2,0,0,3,8,2400,330,2006,0,98116,47.5797,-122.391,1980,4600,769900
+7853280490,12/22/2014,4,3.5,4220,5817,2,0,0,3,9,2910,1310,2006,0,98065,47.5392,-121.862,4290,6637,633000
+2883200524,5/12/2014,3,2.5,1570,1433,3,0,0,3,8,1570,0,2010,0,98103,47.6858,-122.336,1570,2652,635000
+3630200300,7/25/2014,4,3.5,4670,6000,2,0,3,3,11,3820,850,2007,0,98027,47.5414,-121.994,4310,6000,1240000
+1383800015,1/8/2015,3,2.25,1370,1007,3,0,0,3,8,1330,40,2009,0,98107,47.6682,-122.361,1570,1635,524000
+1441000090,11/26/2014,4,3.5,3273,5115,2,0,0,3,8,2671,602,2014,0,98055,47.4477,-122.204,2996,5100,485000
+3760500407,5/21/2014,3,4,3880,13095,2,0,3,3,11,3700,180,2009,0,98034,47.6996,-122.233,3880,10830,1030000
+9528101214,10/24/2014,3,3.5,1494,1262,3,0,0,3,8,1494,0,2011,0,98115,47.6826,-122.324,1494,1264,650000
+2801910100,10/1/2014,3,2.5,2930,5641,2,0,0,3,8,2930,0,2013,0,98052,47.71,-122.113,3300,5641,754842
+1085623640,9/24/2014,4,2.5,2598,5553,2,0,0,3,9,2598,0,2014,0,98092,47.3412,-122.178,2502,4900,428900
+7299601460,6/23/2014,3,2.5,2242,4995,2,0,0,3,8,2242,0,2011,0,98092,47.2595,-122.202,1798,4942,329900
+1070000110,12/18/2014,4,2.5,2830,5932,2,0,0,3,9,2830,0,2014,0,98199,47.6479,-122.408,2840,5593,1040000
+7853360820,9/9/2014,4,2.5,2710,6937,2,0,0,3,7,2710,0,2009,0,98065,47.5153,-121.871,2380,5866,544999
+7436700090,5/29/2014,4,2.75,2320,4344,2,0,0,3,8,2320,0,2012,0,98059,47.4862,-122.163,2310,3770,449950
+3034200399,1/13/2015,4,2.5,2720,7991,2,0,0,3,9,2720,0,2006,0,98133,47.7168,-122.331,1590,8611,635000
+889000015,11/3/2014,3,1.75,1650,1180,3,0,0,3,8,1650,0,2014,0,98105,47.6638,-122.319,1650,1960,599000
+2767704252,11/3/2014,3,3.25,1430,1348,2,0,0,3,8,1160,270,2008,0,98107,47.6743,-122.374,1160,1265,478000
+2143700756,9/29/2014,4,2.5,2090,5040,2,0,0,3,9,2090,0,2014,0,98055,47.4797,-122.23,1430,12000,388000
+8946780110,8/4/2014,4,3.5,3660,4903,2,0,0,3,9,2760,900,2014,0,98034,47.7184,-122.156,3630,4992,809950
+6790830090,4/15/2015,4,3.5,4220,8417,3,0,0,3,10,4220,0,2012,0,98075,47.5869,-122.054,3730,8435,1060000
+2768100512,4/22/2015,2,2.5,1450,1213,2,0,0,3,9,1110,340,2015,0,98107,47.6692,-122.372,1620,1456,659000
+9477580110,6/26/2014,4,3.75,3460,6738,2,0,0,3,11,3460,0,2013,0,98059,47.506,-122.145,3340,6120,971971
+7625702437,1/15/2015,3,2.5,1350,874,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,389000
+5416510490,7/8/2014,4,2.75,3000,5470,2,0,0,3,8,3000,0,2005,0,98038,47.3613,-122.038,2420,4891,355000
+1123059125,12/8/2014,4,2.5,2950,10003,2,0,0,3,9,2950,0,2006,0,98059,47.489,-122.14,2790,9323,551500
+7237450110,7/1/2014,4,2.5,2530,5048,2,0,0,3,8,2530,0,2014,0,98038,47.3559,-122.063,2530,4359,417838
+250000090,7/14/2014,4,4.5,4650,7660,2,0,0,3,11,3640,1010,2008,0,98004,47.6349,-122.198,1710,8400,1750000
+2025049206,6/11/2014,2,1,710,1131,2,0,0,4,7,710,0,1943,0,98102,47.6413,-122.329,1370,1173,399950
+5631500941,7/15/2014,4,2.5,3050,8000,2,0,0,3,9,3050,0,2007,0,98028,47.7465,-122.231,1910,8000,740000
+8562780490,2/23/2015,3,2.5,1150,683,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,755,335000
+3262300485,4/21/2015,5,5.25,3410,8118,2,0,0,3,11,3410,0,2006,0,98039,47.6295,-122.236,3410,16236,2250000
+5693500846,4/20/2015,3,1.75,1370,1921,3,0,0,3,8,1370,0,2007,0,98103,47.6595,-122.351,1370,4000,667000
+925059313,3/12/2015,4,2.5,3540,7009,2,0,0,3,9,3540,0,2007,0,98033,47.6749,-122.176,2150,10290,920000
+2461900492,5/11/2014,3,2.5,1370,1350,2,0,0,3,7,1010,360,2007,0,98136,47.5534,-122.382,1450,6000,368000
+6817750110,7/10/2014,4,2.5,1714,3080,2,0,0,3,8,1714,0,2009,0,98055,47.429,-122.188,1714,3250,307000
+3574770100,1/16/2015,4,2.75,3650,4534,2,0,0,3,7,2940,710,2014,0,98028,47.7397,-122.224,2400,7682,550000
+8564860110,1/13/2015,4,2.5,2990,6037,2,0,0,3,9,2990,0,2013,0,98045,47.4766,-121.735,2990,5992,594491
+1085622460,9/29/2014,4,2.5,3284,6516,2,0,0,3,8,3284,0,2014,0,98092,47.3393,-122.181,2555,5008,460458
+1777600850,6/24/2014,4,2.25,3550,13900,1,0,0,3,8,1830,1720,2010,0,98006,47.5681,-122.127,2770,12200,859000
+9284801500,12/11/2014,3,3,1860,2875,2,0,0,3,8,1710,150,2009,0,98126,47.5511,-122.373,1350,4830,399950
+7217400389,4/1/2015,3,3.25,1720,1977,2,0,0,3,8,1360,360,2007,0,98122,47.6127,-122.299,1720,3420,547500
+3832051140,6/23/2014,3,2.5,2540,4775,2,0,0,3,7,2540,0,2006,0,98042,47.3341,-122.052,2270,5000,310000
+925059137,6/2/2014,4,2.75,3270,12880,2,0,0,3,9,3270,0,2014,0,98033,47.6679,-122.172,2420,7505,939000
+6021503706,10/14/2014,2,2.5,980,1021,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,329900
+475000176,12/22/2014,3,2.5,1150,1193,2,0,0,3,8,1020,130,2006,0,98107,47.6684,-122.365,1450,1640,436000
+1220000367,7/16/2014,3,2.5,1820,1855,2,0,0,3,8,1570,250,2008,0,98166,47.4643,-122.346,1470,6900,320000
+3278605590,9/26/2014,3,2.5,1580,3825,2,0,0,3,8,1580,0,2011,0,98126,47.5458,-122.369,1380,1500,375000
+7203140110,3/24/2015,3,2,1460,3696,2,0,0,3,7,1460,0,2010,0,98053,47.6861,-122.013,1720,3631,392137
+3818400110,8/26/2014,4,2.5,2900,4950,2,0,0,3,8,2900,0,2004,0,98028,47.7717,-122.236,2590,4950,520000
+7702080110,10/16/2014,5,2.75,2620,6389,2,0,0,3,9,2620,0,2007,0,98028,47.77,-122.236,2620,4504,535000
+952002250,3/24/2015,2,2.5,1340,999,2,0,0,3,8,940,400,2008,0,98116,47.5655,-122.386,1470,1436,407000
+9578500820,11/25/2014,4,3.25,3266,5398,2,0,0,3,8,3266,0,2014,0,98023,47.2975,-122.35,3087,5152,424950
+3448000542,8/11/2014,2,1.5,1076,1060,3,0,0,3,7,1076,0,2006,0,98125,47.7167,-122.298,1076,1060,290000
+9358000552,10/29/2014,3,3.25,1680,1478,2,0,0,3,8,1360,320,2009,0,98126,47.5674,-122.369,1530,2753,399000
+2770601696,7/3/2014,3,2.5,1930,1348,2,0,0,3,8,1300,630,2005,0,98199,47.6513,-122.384,1630,6000,439990
+9834201145,2/22/2015,4,2.5,2880,3091,2,0,0,3,9,1940,940,2014,0,98144,47.5711,-122.286,1560,4080,635000
+3575305452,7/17/2014,4,2.25,2240,5000,2,0,0,3,8,2240,0,2013,0,98074,47.6212,-122.058,1760,7500,635000
+6181500100,4/29/2015,3,2.5,2594,4455,2,0,0,3,8,2594,0,2012,0,98001,47.3054,-122.276,2981,4950,351000
+2767604074,8/22/2014,2,1.5,1210,1232,3,0,0,3,8,1210,0,2007,0,98107,47.6712,-122.39,1330,1174,437500
+2872100345,5/30/2014,4,3.5,3760,5000,2,0,0,3,9,2860,900,2014,0,98117,47.6826,-122.394,1340,5000,919204
+2937300440,9/8/2014,4,2.5,3600,6055,2,0,0,3,9,3600,0,2014,0,98052,47.7053,-122.126,3590,6050,923990
+2597490660,6/24/2014,4,2.5,2050,2772,2,0,0,3,8,2050,0,2012,0,98029,47.5421,-122.011,2050,2934,639888
+3528900768,1/14/2015,3,3.25,1510,2064,2,0,0,3,8,1220,290,2008,0,98109,47.6398,-122.345,1670,2594,675000
+3885802135,6/10/2014,4,2.5,2580,3909,2,0,0,3,8,2580,0,2013,0,98033,47.6852,-122.21,1820,5772,899900
+3336500190,1/30/2015,3,2.5,1670,4020,2,0,0,3,7,1670,0,2009,0,98118,47.53,-122.268,1670,4020,252000
+2425059174,3/17/2015,4,2.5,3190,10034,2,0,0,3,9,3190,0,2007,0,98052,47.6379,-122.111,2110,9300,925000
+1890000170,10/29/2014,3,2.5,1280,1920,3,0,0,3,8,1280,0,2009,0,98105,47.6621,-122.324,1450,1900,552000
+5137800130,4/7/2015,4,2.5,2718,6197,2,0,0,3,8,2718,0,2006,0,98092,47.3255,-122.164,2667,5000,388500
+2767603753,8/29/2014,2,2,1370,1878,3,0,0,3,8,1370,0,2004,0,98107,47.6721,-122.387,1280,1878,548000
+6181410950,9/22/2014,3,2.5,1794,4769,2,0,0,3,7,1794,0,2005,0,98001,47.3052,-122.283,3557,4807,254950
+3226069049,12/8/2014,4,4.5,5120,41327,2,0,0,3,10,3290,1830,2008,0,98053,47.7009,-122.059,3360,82764,1240000
+6056110430,9/30/2014,3,2.5,2160,1912,2,0,0,3,9,1970,190,2014,0,98118,47.5642,-122.292,1810,2653,629000
+2916200091,3/3/2015,4,2.5,2180,7204,2,0,0,3,8,2180,0,2014,0,98133,47.7221,-122.352,1500,7650,734000
+1773100980,6/18/2014,3,2.25,1490,1294,2,0,0,3,7,1220,270,2010,0,98106,47.5569,-122.363,1490,1283,309000
+1123059126,7/3/2014,3,2.5,2950,10254,2,0,0,3,9,2950,0,2006,0,98059,47.4888,-122.14,2800,9323,554950
+825079024,5/6/2015,3,2.75,2990,207781,2,0,0,3,9,2990,0,2000,0,98014,47.662,-121.944,2590,218671,785000
+8029770470,6/5/2014,4,2.5,2700,5150,2,0,0,3,9,2700,0,2007,0,98059,47.5071,-122.148,3160,7620,550000
+1563102965,8/11/2014,4,3.5,3130,5000,3,0,0,3,10,3130,0,2014,0,98116,47.5656,-122.403,1950,5152,1010000
+5021900635,10/28/2014,3,2,3620,14250,2,0,0,3,8,3220,400,2007,0,98040,47.5767,-122.225,2370,14250,1580000
+9264450460,6/3/2014,5,2.75,2481,4045,2,0,0,3,8,2481,0,2014,0,98001,47.2602,-122.284,2363,4175,309000
+7694200430,6/25/2014,3,2.5,1730,3600,2,0,0,3,8,1730,0,2014,0,98146,47.5019,-122.34,2030,3600,328423
+7548301041,6/23/2014,3,1.5,1420,1192,2,0,0,3,8,1140,280,2008,0,98144,47.5881,-122.304,1340,1213,345000
+726059483,11/21/2014,5,3.5,3160,5175,2,0,0,3,9,3160,0,2014,0,98011,47.755,-122.216,2100,9351,660000
+2771102144,5/2/2014,3,3.25,1320,1327,2,0,0,3,8,1040,280,2008,0,98199,47.6506,-122.383,1440,1263,385000
+7011201476,3/18/2015,2,2.25,1010,1107,2,0,0,3,8,710,300,2006,0,98119,47.6363,-122.371,1140,1531,459000
+53500020,1/14/2015,3,2.5,1870,4046,2,0,0,3,7,1870,0,2007,0,98042,47.342,-122.059,2130,4800,248000
+8920100066,8/20/2014,4,3.5,5220,15411,2,0,3,3,11,3550,1670,2006,0,98075,47.592,-122.085,3110,14124,1480000
+8091670020,8/1/2014,4,2.5,2260,5824,2,0,0,3,8,2260,0,2011,0,98038,47.3496,-122.042,2240,5561,379000
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+4083306552,3/10/2015,3,3.25,1460,1367,3,0,0,3,8,1460,0,2008,0,98103,47.6485,-122.334,1310,1191,602000
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+6056100380,5/20/2014,3,2.25,1970,2377,2,0,0,3,8,1680,290,2008,0,98108,47.5631,-122.297,1690,1936,415000
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+7237450190,8/6/2014,5,2.75,2710,4685,2,0,0,3,8,2710,0,2014,0,98038,47.3555,-122.062,2710,4449,430760
+8682320420,4/27/2015,2,2.5,2170,6361,1,0,2,3,8,2170,0,2009,0,98053,47.7109,-122.017,2310,7419,755000
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+821079102,10/17/2014,4,3.5,3720,213073,1,0,2,3,10,3720,0,2007,0,98010,47.3216,-121.94,2190,59241,780000
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+3893100462,2/25/2015,5,3.75,4360,8504,2,0,4,3,10,3530,830,2014,0,98033,47.6936,-122.19,2680,9000,1790000
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+8096800500,3/17/2015,3,2.5,1741,5701,2,0,0,3,8,1741,0,2012,0,98030,47.379,-122.184,2002,5700,300000
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+9144100007,6/4/2014,3,2,1630,7599,1,0,0,3,10,1630,0,2006,0,98117,47.6981,-122.376,2030,7599,767450
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+7768800280,7/22/2014,4,3.5,3600,5697,2,0,0,3,9,2940,660,2014,0,98075,47.5755,-122.071,3490,5911,870515
+9512200420,7/21/2014,4,2.5,2154,4153,2,0,0,3,9,2154,0,2012,0,98058,47.4557,-122.13,2154,4091,390000
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+7515000143,8/5/2014,3,2.25,1360,1041,2,0,0,3,8,1094,266,2006,0,98117,47.6925,-122.375,1522,1382,399950
+3395070440,2/9/2015,3,2.5,1320,2480,2,0,0,3,7,1320,0,2005,0,98118,47.536,-122.284,1320,3240,305000
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+9532000170,2/17/2015,4,2.5,2190,3855,2,0,0,3,8,2190,0,2010,0,98011,47.7705,-122.169,2190,3600,540000
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+9511120050,6/27/2014,3,2.5,2432,9391,2,0,2,3,9,2432,0,2005,0,98001,47.3453,-122.267,2912,8932,427000
+8943600430,4/23/2015,3,2.5,2283,3996,2,0,0,3,8,2283,0,2008,0,98031,47.4221,-122.192,1760,3992,389950
+9429400170,6/25/2014,3,2.5,1860,3730,2,0,0,3,8,1860,0,2012,0,98019,47.7442,-121.984,2110,4509,309620
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+1085623560,2/2/2015,4,2.5,2930,4875,2,0,0,3,9,2930,0,2014,0,98030,47.3421,-122.179,2815,4900,442515
+263000255,12/2/2014,3,2.25,1540,1561,3,0,0,3,8,1540,0,2010,0,98103,47.6991,-122.346,1540,1547,375000
+7299600130,7/2/2014,3,2.5,2242,4500,2,0,0,3,8,2242,0,2014,0,98092,47.2583,-122.198,2009,4500,309780
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+6821101732,2/19/2015,3,2.25,1230,875,3,0,0,3,8,1230,0,2013,0,98199,47.6521,-122.4,1760,5664,550000
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+7299601630,11/8/2014,3,2.5,2242,5744,2,0,0,3,8,2242,0,2012,0,98092,47.2597,-122.199,2009,5712,310000
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+7936000463,4/16/2015,4,2.5,2560,7210,2,0,0,3,9,2560,0,2006,0,98136,47.5535,-122.395,2160,10439,838000
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+3342700464,1/7/2015,4,3.5,3065,5440,3,0,0,3,9,3065,0,2014,0,98056,47.524,-122.2,2210,8400,729000
+3026059362,10/31/2014,3,2.5,1861,1587,2,0,0,3,8,1578,283,2007,0,98034,47.7043,-122.209,2090,10454,499000
+1327600150,10/16/2014,4,2.75,2260,5705,2,0,0,3,8,2260,0,2014,0,98042,47.3726,-122.159,2260,5727,359950
+2895730540,12/10/2014,5,3.25,4150,7100,2,0,0,3,10,4150,0,2013,0,98074,47.6026,-122.06,3560,7214,929000
+2768200209,10/6/2014,2,2.5,1500,1174,2,0,0,3,8,1140,360,2014,0,98107,47.6689,-122.363,1550,1519,529950
+9268851380,4/3/2015,3,2.25,1620,998,2.5,0,0,3,8,1540,80,2012,0,98027,47.5394,-122.027,1620,1068,461000
+7625703007,10/14/2014,2,1.5,830,1325,2,0,0,3,7,830,0,2005,0,98136,47.5472,-122.384,1310,1485,271115
+7202280580,1/6/2015,4,2.5,3120,5137,2,0,0,3,7,3120,0,2003,0,98053,47.6842,-122.04,2755,5137,653000
+1972202187,10/24/2014,3,2.5,1870,1058,3,0,0,3,8,1380,490,2007,0,98103,47.6512,-122.345,1440,1136,565000
+2767600985,12/4/2014,3,2.25,1240,1250,3,0,0,3,8,1240,0,2014,0,98107,47.6748,-122.377,1470,1250,529950
+5631501202,3/26/2015,4,2.5,2820,5612,2,0,0,3,9,2820,0,2007,0,98028,47.7477,-122.236,1620,14881,585000
+1972200556,7/3/2014,3,1.75,1630,1526,3,0,0,3,8,1630,0,2014,0,98103,47.6536,-122.354,1570,1274,609000
+301400930,6/18/2014,3,2.25,1584,2800,2,0,0,3,7,1584,0,2012,0,98002,47.3454,-122.214,1584,2800,267000
+9265880040,5/9/2014,4,2.5,2840,4500,2,0,0,3,8,2840,0,2012,0,98028,47.7678,-122.237,2840,4939,557000
+7853280610,11/17/2014,4,3.25,3910,6293,2,0,0,3,9,3130,780,2006,0,98065,47.5389,-121.86,4410,6015,709950
+1972200847,7/18/2014,3,2.5,1730,1301,3,0,0,3,9,1730,0,2011,0,98103,47.653,-122.352,1330,1240,625000
+8562790940,12/23/2014,3,2.75,1840,2060,2,0,0,3,10,1700,140,2013,0,98027,47.53,-122.073,2590,2680,599000
+1623089165,5/6/2015,4,3.75,4030,503989,2,0,0,3,10,4030,0,2008,0,98045,47.4807,-121.795,2110,71874,920000
+6788200596,10/16/2014,4,3.5,3440,3800,3,0,0,3,9,3440,0,2014,0,98112,47.6408,-122.307,1760,3800,1290000
+1760650610,3/30/2015,4,2.5,2110,3825,2,0,0,3,7,2110,0,2012,0,98042,47.3602,-122.082,2110,3825,324500
+7853360850,1/16/2015,3,2.5,2430,5866,2,0,0,3,7,2430,0,2009,0,98065,47.5158,-121.871,2380,5866,471500
+2526069092,8/8/2014,4,3.75,4690,207141,2,0,0,3,10,4030,660,2007,0,98019,47.7072,-121.983,2890,200527,1020000
+2424059061,11/11/2014,4,3.5,3500,43560,2,0,0,3,9,2850,650,2014,0,98006,47.5481,-122.103,3640,40545,998000
+7661600206,1/29/2015,4,2.5,2070,8685,2,0,0,3,7,2070,0,2006,0,98188,47.4697,-122.267,2170,9715,262000
+8149600065,4/1/2015,4,3.5,3350,6350,2,0,2,3,8,2610,740,2009,0,98116,47.5602,-122.39,1820,6350,844000
+6666830120,6/24/2014,4,2.5,2440,4850,2,0,0,3,8,2440,0,2013,0,98052,47.7043,-122.114,2970,5450,745641
+3034200087,12/12/2014,5,3,3010,7357,2,0,0,3,9,3010,0,2008,0,98133,47.7226,-122.33,2370,8050,659950
+255450410,8/4/2014,3,2.5,2060,4200,2,0,0,3,8,2060,0,2014,0,98038,47.3706,-122.018,2370,4200,339989
+3438501327,5/4/2015,2,2.5,1570,2399,2,0,0,3,7,1180,390,2009,0,98106,47.5488,-122.364,1590,2306,352500
+9828702389,5/13/2014,3,2.5,1580,1161,2,0,0,3,8,1010,570,2008,0,98112,47.6206,-122.299,1680,1177,525000
+8691440330,9/29/2014,5,3.5,4280,6530,2,0,3,3,10,4280,0,2014,0,98075,47.5941,-121.973,3960,6863,1140000
+1085623740,8/12/2014,5,3.5,2815,4900,2,0,0,3,9,2815,0,2011,0,98030,47.3424,-122.179,2798,4900,491000
+1424069110,7/18/2014,4,2.5,2620,6114,2,0,0,3,9,2620,0,2011,0,98029,47.5603,-122.013,2620,5808,675000
+993001914,1/6/2015,3,2.25,1250,1033,3,0,0,3,8,1250,0,2007,0,98103,47.6907,-122.343,1250,1150,344000
+9211010220,11/4/2014,4,2.5,3250,4500,2,0,0,3,8,3250,0,2008,0,98059,47.4944,-122.15,3030,4598,530000
+2143701015,12/10/2014,4,3.25,2510,7686,2,0,0,3,9,2510,0,2003,0,98055,47.4785,-122.228,2510,6732,290500
+6056111430,1/13/2015,2,1.75,1270,1685,2,0,0,3,8,1270,0,2012,0,98108,47.5646,-122.295,1270,1843,335000
+1925059254,5/7/2015,5,4,6670,16481,2,0,0,3,12,4960,1710,2007,0,98004,47.6409,-122.221,4800,16607,3000000
+3278606200,9/19/2014,3,2.5,1580,3075,2,0,0,3,8,1580,0,2013,0,98126,47.545,-122.368,1710,2934,379000
+3126049501,7/17/2014,3,1.5,1360,2030,3,0,0,3,8,1360,0,2008,0,98103,47.6961,-122.349,1360,1167,385000
+4305600360,2/25/2015,4,2.5,2400,9612,1,0,0,3,8,1230,1170,1962,2009,98059,47.4799,-122.127,2430,5539,500012
+6632300212,5/5/2014,3,3,1571,2017,3,0,0,3,8,1571,0,2008,0,98125,47.7338,-122.309,1520,1497,366750
+1189000492,6/6/2014,2,2,1405,1073,2,0,0,3,8,1140,265,2007,0,98122,47.612,-122.295,1405,3000,405000
+3319500628,2/12/2015,3,1.5,1010,1546,2,0,0,3,8,1010,0,1971,2014,98144,47.5998,-122.311,1010,1517,356999
+2436700625,4/17/2015,2,2.5,1450,1281,2,0,0,3,8,1220,230,2006,0,98105,47.665,-122.285,1440,1281,590000
+3679400474,11/4/2014,3,1.75,1420,1361,2,0,0,3,7,960,460,2014,0,98108,47.5684,-122.314,1340,1343,294000
+7203190110,4/26/2015,4,2.5,2650,4644,2,0,0,3,8,2650,0,2013,0,98053,47.6945,-122.018,2640,5099,731500
+1853080850,6/6/2014,5,2.75,3030,7679,2,0,0,3,9,3030,0,2014,0,98074,47.593,-122.057,3080,6341,837219
+1125079111,4/15/2015,4,5.5,6530,871200,2,0,2,3,11,6530,0,2008,0,98014,47.664,-121.878,1280,858132,1600000
+518500610,6/16/2014,3,2.75,2670,3738,1,0,0,3,10,1720,950,2013,0,98056,47.5299,-122.203,2610,3734,798800
+293670040,10/8/2014,2,2.5,1170,809,2,0,0,3,9,1170,0,2007,0,98103,47.6875,-122.339,1170,1121,482500
+3303970100,3/6/2015,4,2.5,3260,26772,2,0,0,3,9,3260,0,2007,0,98027,47.5115,-122.031,3260,14491,820000
+3834000594,7/11/2014,3,1.5,1480,1722,3,0,0,3,7,1480,0,2007,0,98125,47.728,-122.292,1480,5764,319000
+3342100569,8/13/2014,3,2.5,2700,6947,2,0,3,3,9,2700,0,2013,0,98056,47.5172,-122.208,2500,6947,950000
+7237501380,5/7/2015,4,3.5,4640,13404,2,0,0,3,10,4640,0,2007,0,98059,47.531,-122.134,4690,13590,1270000
+2325300093,7/7/2014,3,2.5,1601,2491,3,0,0,3,7,1536,65,2007,0,98125,47.719,-122.317,1420,1156,378000
+9808100150,4/2/2015,5,3.75,5350,15360,1,0,1,3,11,3040,2310,2008,0,98004,47.648,-122.218,3740,15940,3350000
+3332500085,10/27/2014,3,2.5,2540,5237,2,0,0,3,8,2540,0,2011,0,98118,47.5492,-122.276,1800,4097,489950
+3869900150,4/27/2015,2,1.75,1030,1106,2,0,0,3,7,765,265,2006,0,98136,47.5397,-122.387,1030,1066,345000
+2011400401,2/26/2015,3,2.5,2730,7136,2,0,0,3,8,2730,0,2012,0,98198,47.3938,-122.321,2130,8932,510000
+9578501030,7/29/2014,4,2.5,3172,5033,2,0,0,3,8,3172,0,2014,0,98023,47.2961,-122.348,2704,5232,432500
+8029770410,4/20/2015,4,2.5,3160,8530,2,0,0,3,9,3160,0,2006,0,98059,47.5075,-122.148,3160,6460,650000
+6639900242,10/3/2014,4,2.5,2850,12429,2,0,0,3,9,2850,0,2008,0,98033,47.6915,-122.177,2540,12000,750000
+2919700735,4/27/2015,4,3.5,2780,3100,2,0,0,3,8,2120,660,2014,0,98117,47.6886,-122.364,1740,3600,870000
+8691440410,12/15/2014,4,3.5,3860,6543,2,0,0,3,10,3860,0,2014,0,98075,47.5934,-121.974,3760,6888,900000
+2902201301,12/16/2014,2,1.75,1180,900,2,0,0,3,10,780,400,2014,0,98102,47.6395,-122.329,1380,3610,664950
+291310150,6/2/2014,3,2.25,1410,1290,2,0,0,3,7,1290,120,2004,0,98027,47.5345,-122.069,1490,1380,391000
+323079101,1/23/2015,4,3.5,6370,205603,2,0,0,3,12,6370,0,2008,0,98027,47.5016,-121.905,1490,33580,1800000
+5057100110,5/14/2015,5,3,3223,6371,2,0,0,3,9,3223,0,2014,0,98042,47.3584,-122.163,1979,9008,479349
+9268850940,12/23/2014,4,3.25,2600,2074,2,0,0,3,8,2150,450,2011,0,98027,47.5402,-122.028,2510,2074,661000
+993000315,10/2/2014,3,3.25,1380,1234,3,0,0,3,8,1380,0,2006,0,98103,47.6935,-122.342,1370,1282,379000
+9268851800,5/5/2014,3,2.25,1620,998,2.5,0,0,3,8,1540,80,2010,0,98027,47.5401,-122.027,1620,1299,415000
+4310702837,12/1/2014,3,3.25,1370,1227,3,0,0,3,8,1370,0,2007,0,98103,47.6964,-122.341,1370,1236,375000
+4310703083,5/23/2014,3,2,1220,1186,3,0,0,3,8,1220,0,2007,0,98103,47.6972,-122.341,1280,1251,355000
+1890000166,9/5/2014,3,2.5,1280,1889,3,0,0,3,8,1280,0,2009,0,98105,47.6619,-122.324,1450,1889,540000
+7904700146,7/24/2014,2,1.5,770,850,2,0,0,3,7,770,0,2006,0,98116,47.5644,-122.388,1350,915,290000
+1931300308,5/20/2014,3,2.5,1210,1200,3,0,0,3,8,1210,0,2008,0,98103,47.6543,-122.345,1210,1200,500000
+8091670730,9/2/2014,4,2.5,2890,6322,2,0,0,3,8,2890,0,2011,0,98038,47.3494,-122.044,2380,5738,416000
+3278612370,8/11/2014,3,2.5,1580,2765,2,0,0,3,8,1580,0,2011,0,98126,47.5444,-122.369,1580,1820,349900
+7600065,6/5/2014,3,2.25,1530,1245,2,0,0,3,9,1050,480,2014,0,98122,47.6018,-122.297,1530,2307,465000
+3630200900,6/30/2014,4,2.5,3670,7680,2.5,0,0,3,10,3670,0,2007,0,98029,47.5401,-121.993,3130,6112,950000
+3278611450,3/26/2015,4,2.25,1850,2340,2.5,0,0,3,8,1850,0,2014,0,98126,47.543,-122.372,1850,2340,496800
+2026049184,3/20/2015,4,2.5,2440,6581,2,0,0,3,8,2440,0,2014,0,98133,47.7321,-122.334,1480,7432,680000
+9103000455,4/24/2015,4,3.25,2190,4265,2,0,0,3,9,1540,650,2015,0,98122,47.6178,-122.29,1730,4265,920000
+8691440220,2/2/2015,5,4,4360,8030,2,0,0,3,10,4360,0,2015,0,98075,47.5923,-121.973,3570,6185,1290000
+7202300540,7/1/2014,4,2.75,3990,6637,2,0,0,3,9,3990,0,2003,0,98053,47.6835,-122.045,3500,7074,825000
+1453601038,10/2/2014,3,2.5,1270,1283,3,0,0,3,7,1270,0,2007,0,98125,47.7209,-122.291,1270,1512,292000
+9211010330,4/9/2015,4,2.5,3340,6924,2,0,0,3,8,3340,0,2009,0,98059,47.495,-122.149,3030,6119,576000
+1972201773,3/13/2015,2,2,1500,761,3,0,3,3,8,1500,0,2008,0,98103,47.6522,-122.346,1360,1527,670000
+7974200948,5/20/2014,4,3.5,3120,5086,2,0,0,3,9,2480,640,2008,0,98115,47.6762,-122.288,1880,5092,953007
+2700200040,2/23/2015,4,2.5,2480,4334,2,0,0,3,8,2480,0,2012,0,98038,47.3826,-122.036,2480,5632,399000
+7625702264,4/27/2015,2,2,1110,1155,3,0,0,3,7,980,130,2008,0,98136,47.5496,-122.388,1110,1089,399000
+2428100100,11/17/2014,4,2.75,2760,5670,2,0,0,3,10,2760,0,2014,0,98075,47.5819,-122.047,2760,6600,847093
+1176001123,2/6/2015,3,2.5,1510,1493,3,0,0,3,8,1510,0,2014,0,98107,47.669,-122.402,1530,1357,599950
+3052700472,8/13/2014,3,2.5,1460,1614,2,0,0,3,8,1180,280,2007,0,98117,47.6781,-122.374,1380,1402,499000
+1623089086,10/15/2014,4,2.75,3980,285318,2,0,2,3,9,3980,0,2006,0,98045,47.4803,-121.795,2100,105415,760000
+2311400145,10/29/2014,4,3.75,3320,8234,2,0,0,3,10,3320,0,2014,0,98004,47.5963,-122.2,1560,8240,1700000
+8895800090,5/12/2014,4,3.25,3270,5187,2,0,0,3,9,3110,160,2014,0,98052,47.6966,-122.133,3600,5825,1030000
+847100021,5/20/2014,4,2.5,2670,8765,2,0,0,3,9,2670,0,2006,0,98059,47.4876,-122.146,2880,8765,515000
+291310120,12/9/2014,3,2.25,1410,1332,2,0,0,3,7,1290,120,2004,0,98027,47.5345,-122.069,1445,1290,355000
+301401390,8/5/2014,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.3452,-122.21,2166,4000,319900
+7519001068,5/27/2014,3,3.5,1600,1431,2,0,0,3,8,1240,360,2006,0,98117,47.6865,-122.363,1500,4120,460000
+7203101590,1/8/2015,2,1,1290,3383,2,0,0,3,7,1290,0,2008,0,98053,47.6968,-122.025,1290,2828,305000
+7299600530,3/17/2015,3,2.5,1608,4818,2,0,0,3,8,1608,0,2012,0,98092,47.2583,-122.203,2009,5200,280000
+7625703357,2/27/2015,2,2.25,1300,2104,2,0,0,3,8,1010,290,2011,0,98136,47.5477,-122.388,1430,1850,394950
+7889601270,8/21/2014,4,3.5,2530,3000,2,0,0,3,8,1850,680,2014,0,98146,47.4919,-122.336,1470,6000,382000
+4083306553,4/22/2015,3,2.5,1390,1411,3,0,0,3,8,1390,0,2008,0,98103,47.6485,-122.334,1350,1266,560000
+9828701508,5/20/2014,3,2.25,1640,1204,3,0,0,3,8,1640,0,2014,0,98112,47.6196,-122.297,1630,3136,772000
+8946390150,7/22/2014,4,2.5,2229,5723,2,0,0,3,7,2229,0,2012,0,98032,47.3693,-122.286,2738,5742,324950
+8648900040,7/9/2014,3,2.5,1790,3078,2,0,0,3,8,1790,0,2010,0,98027,47.5638,-122.094,1890,3078,530000
+4092300211,10/24/2014,3,2.25,990,736,2.5,0,0,3,8,880,110,2009,0,98105,47.6605,-122.319,1030,1201,384000
+3343902510,6/11/2014,5,2.75,3240,6863,2,0,0,3,10,3240,0,2013,0,98056,47.5033,-122.193,2360,6002,719950
+2919700107,8/11/2014,2,2.5,1280,819,2,0,0,3,8,1060,220,2006,0,98103,47.6905,-122.364,1290,2900,319950
+2781280230,1/28/2015,3,2.5,1610,3848,2,0,0,3,8,1610,0,2006,0,98055,47.4497,-122.188,1610,3049,292000
+3232200085,4/28/2015,6,3.5,3670,3959,2,0,0,3,10,2410,1260,2008,0,98119,47.6356,-122.373,2060,3625,1500000
+1972200259,5/7/2014,2,2.5,1150,1027,3,0,0,3,8,1150,0,2008,0,98103,47.6534,-122.356,1360,1210,425000
+1926059236,10/10/2014,5,3.75,3760,4702,2,0,0,3,9,2780,980,2014,0,98034,47.7202,-122.223,2950,5981,799950
+2768200210,8/25/2014,2,2.5,1320,1157,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.363,1550,1519,499000
+3304300210,3/27/2015,4,2.75,2700,7992,2,0,0,3,9,2700,0,2012,0,98059,47.4831,-122.135,2840,7992,572000
+9826700930,7/22/2014,2,2,1480,804,3,0,0,3,8,1480,0,2008,0,98122,47.602,-122.308,1380,1751,459000
+9385200042,3/18/2015,3,2.25,1410,905,3,0,0,3,9,1410,0,2014,0,98116,47.5818,-122.402,1510,1352,529500
+3876590090,9/9/2014,4,2.5,3135,5811,2,0,0,3,9,3135,0,2005,0,98092,47.3263,-122.18,3008,5799,374500
+2902200142,6/5/2014,3,2.5,1480,1485,2,0,0,3,8,1280,200,2007,0,98102,47.6376,-122.326,1470,1277,584000
+8085400401,1/15/2015,4,4.5,4020,9656,2,0,0,3,10,4020,0,2007,0,98004,47.6358,-122.207,1960,9520,1900000
+2902200237,7/7/2014,2,2.25,1060,1209,2,0,0,3,8,940,120,2006,0,98102,47.6369,-122.327,1300,1169,505000
+7658600082,11/14/2014,2,2.5,1950,2457,3,0,0,3,8,1950,0,2009,0,98144,47.5925,-122.302,1650,1639,565000
+6891100330,3/25/2015,4,2.75,3340,5677,2,0,0,3,9,3340,0,2011,0,98052,47.709,-122.118,3240,5643,799000
+6821102367,4/29/2015,3,2.5,1570,1452,2.5,0,0,3,9,1240,330,2007,0,98199,47.648,-122.396,1670,1596,547000
+1900600015,2/27/2015,3,2.5,1930,6604,2,0,0,3,7,1930,0,2014,0,98166,47.4692,-122.351,910,6604,550000
+1545808120,9/18/2014,3,2,1590,8100,1,0,0,3,7,1060,530,1996,0,98038,47.3611,-122.047,1590,8100,250000
+2126059294,1/5/2015,4,4.5,3720,7746,2,0,0,3,10,3720,0,2014,0,98034,47.7323,-122.165,3080,11067,960000
+1370800515,10/30/2014,4,4.25,4470,5884,2,0,1,3,11,3230,1240,2010,0,98199,47.6387,-122.405,2570,6000,2950000
+3319500334,3/27/2015,2,1,1290,1289,2,0,0,3,7,1030,260,2005,0,98144,47.6006,-122.305,1290,1332,441000
+301400940,4/7/2015,3,2.25,1489,2800,2,0,0,3,7,1489,0,2012,0,98002,47.3454,-122.214,1584,2800,265000
+2722069077,4/9/2015,3,2.5,2075,39553,1,0,0,3,7,2075,0,2012,0,98038,47.3601,-122.032,1960,9047,430000
+8943600720,6/17/2014,3,2.5,1413,3600,2,0,0,3,8,1413,0,2011,0,98031,47.4222,-122.193,2150,3869,286800
+7660100236,4/16/2015,3,2.5,1300,1362,2,0,0,3,8,880,420,2008,0,98144,47.5893,-122.317,1300,1251,375000
+1773100921,12/15/2014,3,3.25,1480,983,2,0,0,3,8,1180,300,2013,0,98106,47.5555,-122.363,1330,1062,312500
+8679200100,1/7/2015,4,2.75,3320,5559,2,0,0,3,9,3320,0,2012,0,98075,47.5607,-122.031,3400,6854,850000
+3654200039,3/25/2015,3,2.25,1530,1279,2,0,0,3,7,1116,414,2007,0,98177,47.7035,-122.357,1320,1427,390500
+2771602428,10/29/2014,3,2.5,1180,932,3,0,0,3,8,1180,0,2010,0,98119,47.638,-122.375,1180,2632,455000
+1225039067,4/6/2015,2,2,1190,1303,2,0,0,3,8,800,390,2009,0,98107,47.6675,-122.368,1670,2425,455000
+625049359,12/3/2014,3,2.25,1300,1180,3,0,0,3,8,1300,0,2008,0,98103,47.6871,-122.339,1300,1174,515000
+3278606050,4/1/2015,3,3.5,1710,2212,2,0,0,3,7,1400,310,2013,0,98126,47.5459,-122.368,1580,2212,362500
+5112800291,9/24/2014,3,2.5,2390,47480,2,0,0,3,9,2390,0,2007,0,98058,47.4517,-122.084,1720,44866,460000
+7853360300,9/4/2014,4,3.5,3510,6005,2,0,0,3,8,2750,760,2010,0,98065,47.5168,-121.87,3090,5866,540000
+6056111063,7/31/2014,3,1.75,1140,1165,2,0,0,3,8,1140,0,2014,0,98108,47.5638,-122.295,1150,1552,230000
+2767704649,9/29/2014,2,2.5,1320,1329,2,0,0,3,8,1180,140,2007,0,98107,47.6728,-122.374,1490,5000,425000
+7683800205,5/19/2014,5,3,2100,9752,1,0,0,3,8,1200,900,2007,0,98003,47.3341,-122.304,1270,10200,298450
+9406530150,12/22/2014,4,2.5,2400,4848,2,0,0,3,8,2400,0,2004,0,98038,47.3626,-122.04,1980,5199,344000
+2979800409,5/5/2014,3,2.5,1408,989,3,0,0,3,8,1408,0,2005,0,98115,47.6856,-122.315,1408,1342,416286
+1085622540,2/23/2015,4,2.5,2560,5102,2,0,0,3,8,2560,0,2013,0,98092,47.3404,-122.181,2586,5059,379500
+4310701421,6/17/2014,2,2.5,1260,1347,3,0,0,3,8,1260,0,2005,0,98103,47.6994,-122.341,1260,1356,350000
+2895800770,4/8/2015,2,1.75,1290,1624,2,0,0,3,8,1290,0,2014,0,98106,47.5171,-122.347,1410,1963,258800
+3034200067,12/18/2014,4,2.5,2730,9260,2,0,0,3,8,2730,0,2008,0,98133,47.7222,-122.331,2730,7357,620000
+3438501320,5/2/2014,2,2.5,1630,1368,2,0,0,3,7,1280,350,2009,0,98106,47.5489,-122.363,1590,2306,295000
+8691450120,2/27/2015,4,2.75,3530,6844,2,0,0,3,10,3530,0,2014,0,98075,47.5975,-121.985,3530,10038,908990
+6306810110,11/17/2014,4,2.5,2714,12558,2,0,0,3,9,2714,0,2014,0,98031,47.3522,-122.201,2873,8269,485230
+3629990110,6/11/2014,3,2.25,1630,2520,2,0,0,3,7,1630,0,2005,0,98029,47.5493,-121.998,1630,3131,475000
+715010110,8/4/2014,5,3.25,5790,13726,2,0,3,3,10,4430,1360,2014,0,98006,47.5388,-122.114,5790,13726,1240000
+3629700090,8/19/2014,3,3,2230,1407,2.5,0,0,3,8,1850,380,2013,0,98027,47.5446,-122.017,2290,1407,635000
+3277801411,11/5/2014,3,2.5,1380,1590,2,0,0,3,9,1160,220,2012,0,98126,47.5444,-122.375,1380,1590,350000
+8822901175,12/29/2014,3,3.5,1320,1161,3,0,0,3,8,1320,0,2010,0,98125,47.7162,-122.294,1320,1161,345000
+6926700654,9/21/2014,2,2,1490,713,3,0,0,3,9,1490,0,2014,0,98109,47.6356,-122.346,1490,1110,700000
+2768301482,8/21/2014,3,2.25,1280,1520,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,490000
+8895800110,8/5/2014,5,4,3870,5929,2,0,0,3,10,3870,0,2014,0,98052,47.6965,-122.134,3600,5625,1300000
+3879900750,9/10/2014,2,2.5,1280,1051,2,0,0,3,8,1080,200,2009,0,98119,47.6273,-122.359,1580,1279,579000
+7234600820,3/27/2015,3,1.5,1300,1435,2,0,0,3,8,1120,180,2007,0,98122,47.6114,-122.31,1320,1652,552500
+1946000100,2/4/2015,4,2.75,2170,5024,2,0,0,3,8,2170,0,2012,0,98059,47.495,-122.145,2460,5024,467000
+8943600870,11/13/2014,4,2.25,1763,3717,2,0,0,3,8,1763,0,2012,0,98031,47.4213,-122.194,1763,3666,305000
+6145600557,5/9/2014,2,1.5,1020,1525,2,0,0,3,7,1020,0,2004,0,98133,47.704,-122.347,1020,3844,212000
+7203140180,8/21/2014,4,2.5,1840,4593,2,0,0,3,7,1840,0,2010,0,98053,47.6866,-122.013,1740,3600,429000
+3277801592,9/25/2014,3,2,1820,1358,3,0,0,3,9,1820,0,2014,0,98126,47.5433,-122.376,1710,1367,479950
+461003835,12/18/2014,3,3.5,2670,3000,2,0,0,3,9,1870,800,2014,0,98117,47.6813,-122.372,1750,5000,825000
+424069279,3/28/2015,6,6.5,6260,10955,2,0,0,3,11,4840,1420,2007,0,98075,47.5947,-122.039,2710,12550,1180000
+1760651000,6/13/2014,3,2.25,1400,3814,2,0,0,3,7,1400,0,2012,0,98042,47.3584,-122.083,1610,3814,250000
+3057000070,10/27/2014,2,1.5,1160,2158,2,0,0,3,7,1160,0,1982,0,98034,47.7178,-122.19,1150,2158,289000
+2895810200,10/2/2014,3,2.5,1400,3368,2,0,0,3,7,1400,0,2013,0,98146,47.5134,-122.342,1400,4316,265000
+2325300060,5/15/2014,3,2.5,1232,1130,3,0,0,3,7,1232,0,2007,0,98125,47.7185,-122.317,1232,1202,344000
+9151600055,7/9/2014,4,2.75,2700,6000,2,0,0,4,8,2100,600,1910,0,98116,47.586,-122.383,2050,5400,749000
+7853321260,9/8/2014,4,2.5,2550,6382,2,0,0,3,7,2550,0,2007,0,98065,47.5202,-121.87,2430,5900,492000
+4219610320,1/19/2015,4,2.5,3260,6902,2,0,0,3,8,3260,0,2008,0,98059,47.4829,-122.156,3130,6588,552500
+2902200016,11/12/2014,2,2.5,1680,1240,2,0,0,3,8,1120,560,2014,0,98102,47.6372,-122.324,2060,3630,653500
+7518507055,4/2/2015,4,3.25,2630,2550,2,0,0,3,10,2030,600,2006,0,98117,47.6775,-122.385,1810,2600,855000
+7502700060,11/19/2014,3,1.5,1260,5758,2,0,0,3,7,1260,0,1999,0,98006,47.5524,-122.139,3090,10142,333000
+3448740160,6/11/2014,4,2.5,2550,4500,2,0,0,3,7,2550,0,2009,0,98059,47.4916,-122.153,2340,4526,415000
+179001455,11/7/2014,4,3.25,3450,5000,2,0,0,3,8,3450,0,2008,0,98178,47.4925,-122.273,1420,5000,445000
+8669160270,7/10/2014,3,2.5,1550,3402,2,0,0,3,7,1550,0,2009,0,98002,47.3523,-122.212,2095,3402,273500
+4215270070,6/6/2014,4,2.5,4150,8436,2,0,0,3,10,4150,0,2014,0,98075,47.5802,-122.039,4070,8438,969990
+170000060,10/8/2014,5,3.5,3900,4400,2,0,0,3,9,2650,1250,2014,0,98107,47.6607,-122.362,1190,4400,1200000
+7410200431,8/6/2014,3,3.25,1550,1444,3,0,0,3,8,1550,0,2006,0,98115,47.6767,-122.291,1550,1444,430000
+6600060140,3/23/2015,4,2.5,2130,4000,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.362,1830,7217,392000
+2324059314,7/2/2014,4,2.5,2890,7798,2,0,0,3,9,2890,0,2005,0,98006,47.5456,-122.129,3300,30950,795000
+9376301111,6/30/2014,3,2.5,1220,1330,2,0,0,3,8,1010,210,2008,0,98117,47.6904,-122.37,1360,3750,457000
+8956200560,3/20/2015,4,2.5,2502,8306,2,0,0,3,9,2502,0,2013,0,98001,47.2953,-122.265,2597,6983,453000
+6749700002,5/9/2014,3,2,1340,1384,3,0,0,3,8,1340,0,2008,0,98103,47.6973,-122.35,1110,1384,376000
+1438000390,8/4/2014,4,2.5,2350,3800,2,0,0,3,8,2350,0,2014,0,98059,47.4783,-122.123,2670,4180,469995
+8682301600,5/4/2015,3,2.5,1810,3930,2,0,0,3,8,1810,0,2008,0,98053,47.7169,-122.02,1560,5100,540000
+7853361370,5/2/2014,4,2.5,3310,6500,2,0,0,3,8,3310,0,2012,0,98065,47.515,-121.87,2380,5000,555000
+3333001997,7/25/2014,3,2,1620,5101,1,0,0,3,7,590,1030,2006,0,98118,47.5448,-122.288,1700,7750,445000
+7899800857,12/15/2014,2,2,1070,635,2,0,0,3,9,720,350,2008,0,98106,47.5212,-122.357,1070,928,256950
+7338220370,10/6/2014,4,2.5,2230,4952,2,0,0,3,8,2230,0,2011,0,98002,47.3363,-122.211,2030,3721,297000
+9406530160,10/17/2014,4,2.5,1970,4558,2,0,0,3,8,1970,0,2005,0,98038,47.3627,-122.04,1980,5123,320000
+7853280370,11/14/2014,5,4.5,4600,7810,2,0,0,3,9,3200,1400,2006,0,98065,47.5381,-121.86,4480,6324,805000
+2937300520,8/1/2014,4,2.75,3110,6050,2,0,0,3,9,3110,0,2014,0,98052,47.705,-122.126,3590,6054,799990
+2738640310,4/9/2015,4,2.5,3490,3677,2,0,0,3,9,2850,640,2007,0,98072,47.774,-122.162,3440,3600,680000
+6056100312,6/24/2014,3,2.5,1600,1936,2,0,0,3,7,1600,0,2007,0,98108,47.5629,-122.297,1600,1936,395000
+2856100260,12/2/2014,3,2.5,1960,3060,2,0,0,3,8,1960,0,2010,0,98117,47.6764,-122.389,1220,3060,732000
+2724049222,8/2/2014,2,2.5,1000,1092,2,0,0,3,7,990,10,2004,0,98118,47.5419,-122.271,1330,1466,163800
+2724049222,12/1/2014,2,2.5,1000,1092,2,0,0,3,7,990,10,2004,0,98118,47.5419,-122.271,1330,1466,220000
+6149700197,11/6/2014,2,2,1500,1408,3,0,0,3,7,1500,0,1999,0,98133,47.7293,-122.343,1500,1245,308625
+3166900200,3/31/2015,3,2.5,2424,5931,2,0,0,3,9,2424,0,2014,0,98042,47.3515,-122.134,2424,6036,375000
+5137800030,7/1/2014,4,2.5,2303,3826,2,0,0,3,8,2303,0,2006,0,98092,47.3258,-122.165,2516,4500,300000
+3832080070,6/16/2014,3,2.5,1880,6008,2,0,0,3,7,1880,0,2009,0,98042,47.3366,-122.052,2180,5185,284000
+9828702336,2/20/2015,2,2,1210,740,2,0,0,3,8,780,430,2014,0,98112,47.6206,-122.3,1480,1171,610000
+7203180370,3/24/2015,4,3.25,3720,6765,2,0,0,3,9,3720,0,2012,0,98053,47.688,-122.018,3100,6790,955000
+3901100030,6/27/2014,4,2.75,3610,8580,2,0,0,3,9,3610,0,2014,0,98033,47.6706,-122.173,2360,8580,982000
+3126049500,5/22/2014,3,1.5,1360,885,3,0,0,3,8,1360,0,2008,0,98103,47.6961,-122.349,1360,1167,359000
+6666830390,7/18/2014,5,2.5,2590,7084,2,0,0,3,8,2590,0,2014,0,98052,47.7053,-122.113,3010,4823,779380
+1832100055,6/30/2014,5,3.25,4390,11250,2,0,0,3,10,4390,0,2007,0,98040,47.5785,-122.225,2160,9249,1510000
+3629700030,2/23/2015,3,3,2290,1407,2.5,0,0,3,8,1890,400,2014,0,98027,47.5446,-122.017,2230,1407,635000
+3630200960,8/26/2014,4,3.75,3880,9979,2.5,0,0,3,10,3880,0,2007,0,98029,47.5408,-121.992,3130,6112,1060000
+7625702431,7/16/2014,3,2.5,1350,874,3,0,0,3,8,1270,80,2006,0,98136,47.549,-122.387,1350,886,389500
+2895800390,8/7/2014,5,2.5,2170,2752,2,0,0,3,8,2170,0,2014,0,98106,47.5165,-122.346,1800,2752,359800
+3753000030,5/27/2014,3,3,1296,1051,3,0,0,3,8,1296,0,2009,0,98125,47.7175,-122.284,1520,1939,399950
+1773100926,6/3/2014,3,3.25,1530,1602,2,0,0,3,8,1140,390,2013,0,98106,47.5555,-122.362,1450,1198,320000
+301400320,7/25/2014,3,2.5,1489,3266,2,0,0,3,7,1489,0,2014,0,98002,47.3452,-122.217,1537,3273,255900
+6600060160,2/9/2015,4,2.5,2130,4467,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.363,1830,8160,380000
+1861100267,9/18/2014,3,2.75,1430,1521,2,0,0,3,9,1130,300,2009,0,98119,47.6353,-122.371,1930,2700,580000
+3438500036,4/29/2015,5,3.75,2380,7268,1,0,0,3,8,1430,950,2008,0,98106,47.5571,-122.357,2040,10810,545000
+3869900036,7/25/2014,3,2.5,1420,814,2,0,0,3,8,1140,280,2008,0,98136,47.5429,-122.387,1340,1382,451300
+1042700270,6/16/2014,4,3.25,3450,6184,2,0,0,3,9,3450,0,2014,0,98074,47.6072,-122.054,3020,5369,852880
+6817750340,9/19/2014,4,2.5,1914,3150,2,0,0,3,8,1914,0,2009,0,98055,47.43,-122.188,1714,3164,305000
+3448001412,4/30/2015,2,1.5,988,1080,3,0,0,3,7,988,0,2007,0,98125,47.7123,-122.301,1128,1080,295000
+301400800,10/16/2014,3,2.25,1584,2800,2,0,0,3,7,1584,0,2012,0,98002,47.3451,-122.214,1584,2800,261000
+7852090570,3/17/2015,4,2.5,2630,5710,2,0,0,3,8,2630,0,2001,0,98065,47.5342,-121.876,2550,5500,560000
+7203180070,9/19/2014,4,3.25,3520,5250,2,0,0,3,9,3520,0,2012,0,98053,47.6869,-122.019,3220,5781,795000
+5416510200,9/29/2014,4,2.5,2380,4913,2,0,0,3,8,2380,0,2006,0,98038,47.3607,-122.038,2580,5311,384950
+1931300977,5/8/2014,3,1.75,1410,1197,3,0,0,3,8,1410,0,2012,0,98103,47.6558,-122.348,1350,2512,500000
+7853390260,2/5/2015,4,3.5,3220,5741,2,0,0,3,9,3220,0,2013,0,98065,47.5169,-121.886,2960,6534,640000
+9578500810,11/21/2014,4,3.25,3266,5969,2,0,0,3,8,3266,0,2014,0,98023,47.2975,-122.35,3087,5169,418000
+6844700575,10/10/2014,3,2,2550,4794,2,0,0,3,9,2550,0,2007,0,98115,47.6955,-122.29,1630,5100,799000
+3751601877,3/20/2015,4,3.5,3828,18900,2.5,0,0,3,9,3828,0,2014,0,98001,47.2851,-122.277,2120,18900,552900
+3869900136,12/19/2014,3,2.25,1670,1596,3,0,0,3,8,1670,0,2014,0,98136,47.5402,-122.387,1640,1310,539950
+8956200960,1/20/2015,4,2.5,3056,11385,2,0,0,3,9,3056,0,2014,0,98001,47.2905,-122.264,2849,8607,524225
+2883200083,2/2/2015,2,1.5,1000,1188,3,0,0,3,8,1000,0,2005,0,98115,47.6823,-122.327,2300,3500,424950
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+3630080030,2/24/2015,3,2.5,1440,2163,2,0,0,3,7,1440,0,2005,0,98029,47.554,-121.998,1440,2207,405000
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+3278611610,9/7/2014,3,2.5,1800,2792,2,0,0,3,8,1800,0,2011,0,98126,47.5442,-122.371,1580,2617,379900
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+255460240,4/23/2015,3,2.5,2370,5321,2,0,0,3,8,2370,0,2014,0,98038,47.37,-122.019,2370,4357,398096
+1773100416,11/20/2014,3,2.5,1410,1325,2,0,0,3,7,1180,230,2007,0,98106,47.5582,-122.363,1270,1282,315000
+2937300560,12/12/2014,4,3.5,3640,6049,2,0,0,3,9,3640,0,2014,0,98052,47.7049,-122.125,3590,6104,939000
+9510860560,7/25/2014,3,2.5,1920,3624,2,0,0,3,9,1920,0,2003,0,98052,47.6647,-122.087,1930,3533,674000
+1085621740,8/14/2014,4,2.5,2267,3577,2,0,0,3,7,2267,0,2014,0,98092,47.3384,-122.18,2056,3577,306000
+4139300135,7/9/2014,5,4.75,5780,17004,2,0,0,3,11,4260,1520,2006,0,98040,47.5802,-122.212,3460,10855,2320000
+5100400241,2/2/2015,2,1,1131,1304,3,0,0,3,7,1131,0,2011,0,98115,47.6912,-122.313,1131,1992,394950
+2428100070,9/18/2014,3,3.5,2940,6431,2,0,0,3,10,2940,0,2014,0,98075,47.5818,-122.047,2760,6695,914154
+726059485,11/17/2014,3,2.5,2180,4533,2,0,0,3,7,2180,0,2010,0,98011,47.754,-122.215,2180,7347,496000
+9834201370,4/17/2015,3,2.25,1400,1078,2,0,0,3,8,940,460,2009,0,98144,47.5701,-122.288,1420,1230,430100
+8564860270,7/8/2014,4,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4759,-121.734,2680,5992,449990
+8564860270,3/30/2015,4,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4759,-121.734,2680,5992,502000
+3395071580,3/11/2015,3,2.5,1300,3612,2,0,0,3,7,1300,0,2005,0,98118,47.5328,-122.282,1390,2943,310000
+3682000060,3/23/2015,4,3.5,2796,3520,2.5,0,0,3,8,2796,0,2013,0,98001,47.3427,-122.278,2040,5195,349950
+1646500810,9/19/2014,2,1.75,1460,1500,2,0,0,3,8,1000,460,2008,0,98103,47.6853,-122.356,1440,4120,625000
+7768800160,8/27/2014,4,3.5,4210,6481,2,0,3,3,9,3260,950,2014,0,98075,47.5765,-122.072,3920,5331,1050000
+3629980860,7/7/2014,4,2.75,2330,3920,2,0,0,3,9,2330,0,2005,0,98029,47.5525,-121.99,2410,4063,680000
+629890070,5/15/2014,4,3.5,3930,5680,2,0,1,3,9,2820,1110,2013,0,98027,47.5528,-122.076,3700,5816,828950
+7299600140,4/3/2015,3,2.5,1608,4000,2,0,0,3,8,1608,0,2014,0,98092,47.2582,-122.198,2009,4983,274950
+1332700030,3/12/2015,2,2.25,1610,1968,2,0,0,4,7,1610,0,1979,0,98056,47.5184,-122.196,1950,1968,293000
+3630220140,6/13/2014,4,3.5,3200,3250,2,0,0,3,9,2670,530,2007,0,98029,47.5515,-122,3400,3663,795000
+301400240,9/22/2014,4,2.5,1710,3500,2,0,0,3,7,1710,0,2014,0,98002,47.3448,-122.217,1710,3500,282900
+1233100710,4/16/2015,5,3.75,3050,8972,2,0,0,3,9,3050,0,2014,0,98033,47.6819,-122.172,2750,8979,909950
+293070270,11/4/2014,4,3.5,3560,4951,2,0,0,3,9,3560,0,2014,0,98074,47.6178,-122.055,3540,5500,922755
+3304030140,4/16/2015,4,2.5,2650,8685,2,0,0,3,9,2650,0,2006,0,98001,47.344,-122.269,2650,7932,424000
+5095401070,4/23/2015,3,2.5,3490,12410,2,0,0,3,8,2590,900,2009,0,98059,47.4714,-122.071,1740,14448,630000
+6358900070,12/22/2014,4,3.25,4140,46173,2,0,0,3,9,4140,0,2007,0,98011,47.7647,-122.213,2060,43103,810000
+8141310030,7/30/2014,3,2,1670,4441,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.975,1670,4622,256703
+7203140270,5/15/2014,3,2.5,1720,3600,2,0,0,3,7,1720,0,2010,0,98053,47.6856,-122.013,1720,3600,386380
+8682320320,9/16/2014,2,2,1510,3961,1,0,0,3,8,1510,0,2010,0,98053,47.709,-122.018,1510,3962,485000
+9542840340,2/11/2015,3,2.25,1450,4040,2,0,0,3,7,1450,0,2010,0,98038,47.3665,-122.022,1610,4040,275000
+3943600140,3/2/2015,4,2.5,1812,5026,2,0,0,3,8,1812,0,2011,0,98055,47.4513,-122.202,2440,6007,370000
+2902200240,6/10/2014,2,2.25,1060,1208,2,0,0,3,8,940,120,2005,0,98102,47.6371,-122.327,1300,1169,499950
+3274800505,4/24/2015,3,2.5,1600,3073,3,0,0,3,8,1600,0,2009,0,98144,47.5934,-122.298,1130,2921,502000
+8080400136,6/20/2014,3,3.25,1530,1565,2,0,0,3,8,1280,250,2005,0,98122,47.6179,-122.312,1530,1381,654000
+6371000079,7/14/2014,4,2.25,2070,1230,3,0,0,3,9,1500,570,2013,0,98116,47.5775,-122.41,1569,4802,575000
+5379801920,4/15/2015,4,2.5,3630,7482,2,0,0,3,10,3630,0,2008,0,98188,47.4565,-122.287,1600,15716,500000
+8562770320,1/14/2015,3,2.5,2140,4126,2,0,0,3,8,1960,180,2005,0,98027,47.5368,-122.073,2280,2615,554000
+3449000200,5/8/2015,4,1.75,2010,12188,1,0,0,4,7,1150,860,1960,0,98059,47.5013,-122.147,1720,8475,360000
+255470030,4/29/2015,4,2.75,2630,4501,2,0,0,3,8,2630,0,2015,0,98028,47.7748,-122.244,2380,4599,619990
+629650030,3/12/2015,4,2.5,2233,6025,2,0,0,3,7,2233,0,2012,0,98001,47.2599,-122.256,1544,6036,317500
+3574770030,8/28/2014,4,2.75,2990,4521,2,0,0,3,7,2990,0,2014,0,98028,47.7401,-122.226,2580,7539,564950
+7589700055,6/11/2014,2,1.25,1240,2150,2,0,0,3,8,1240,0,2014,0,98117,47.6884,-122.374,1340,5289,545000
+3832050570,5/1/2015,3,2.5,2230,5050,2,0,0,3,7,2230,0,2006,0,98042,47.3359,-122.055,2260,5050,333700
+5167000140,7/11/2014,3,3.25,3700,2264,2,0,0,3,11,2280,1420,1998,0,98033,47.6653,-122.205,3930,2567,1480000
+9578060370,4/8/2015,4,3,2290,5105,2,0,0,3,8,2290,0,2012,0,98028,47.7727,-122.237,2450,5105,530000
+2767604253,4/13/2015,2,1.5,950,865,3,0,0,3,8,950,0,2006,0,98107,47.6714,-122.382,1290,1189,396000
+8562780800,10/16/2014,2,1.75,1120,758,2,0,0,3,7,1120,0,2012,0,98027,47.5325,-122.072,1150,758,305000
+603000926,5/22/2014,5,3.5,2420,4670,2,0,0,3,7,2420,0,2013,0,98118,47.5241,-122.285,1430,4468,380000
+6817750510,3/3/2015,4,2.5,1714,3250,2,0,0,3,8,1714,0,2010,0,98055,47.429,-122.189,1714,3250,305000
+423059409,9/28/2014,4,2.5,2230,5650,2,0,0,3,7,2230,0,2011,0,98056,47.5073,-122.168,1590,7241,440000
+522049074,6/27/2014,4,3,2530,10000,2,0,0,3,7,2530,0,2013,0,98148,47.431,-122.335,1420,9898,459000
+1934800193,3/6/2015,3,3.5,1550,1233,2,0,0,3,8,1160,390,2005,0,98122,47.6034,-122.309,1490,1539,530000
+847100046,4/16/2015,4,2.75,3110,11225,2,0,0,3,8,3110,0,2012,0,98059,47.4865,-122.143,2610,8535,600000
+1250200693,7/18/2014,3,3,2100,2409,2,0,0,3,8,1660,440,2008,0,98144,47.5973,-122.298,1900,2400,515000
+7338220200,4/8/2015,4,2.5,2150,3721,2,0,0,3,8,2150,0,2007,0,98002,47.3363,-122.215,2150,3721,275000
+1982201596,1/12/2015,3,1.75,1630,1404,2,0,0,3,8,1020,610,2014,0,98107,47.6646,-122.367,1420,1670,540000
+7853270830,8/5/2014,3,2.5,2230,7934,2,0,0,3,7,2230,0,2005,0,98065,47.5439,-121.88,2310,4818,445000
+9352900200,4/7/2015,3,2.5,1320,955,3,0,0,3,7,1320,0,2009,0,98106,47.5202,-122.357,1300,1003,285000
+8850000517,7/31/2014,3,2.5,1590,1431,2,0,0,3,8,1060,530,2010,0,98144,47.5893,-122.309,1620,1548,480000
+3395070560,1/20/2015,5,3.25,2610,3642,2,0,0,3,8,2080,530,2005,0,98118,47.535,-122.284,1750,3118,440000
+7211400576,2/11/2015,3,2.5,1440,2500,2,0,0,3,7,1440,0,2008,0,98146,47.5123,-122.358,1440,5000,287450
+5169700132,4/1/2015,4,2.5,2630,6283,2,0,0,3,9,2630,0,2006,0,98059,47.5079,-122.158,2630,7210,507950
+3204960200,6/19/2014,3,3.5,3390,10078,2,0,0,3,10,3040,350,2012,0,98056,47.537,-122.185,3290,12332,750000
+8024200681,7/3/2014,3,1.5,1400,1022,3,0,0,3,8,1400,0,2007,0,98115,47.6989,-122.317,1270,1205,425000
+9358000550,12/2/2014,3,3.5,1900,2133,2,0,0,3,8,1520,380,2009,0,98126,47.5675,-122.369,1530,3264,420000
+7625702444,5/10/2014,3,2.5,1350,1250,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,394950
+7853370260,7/11/2014,4,3.25,3420,6752,2,0,2,3,9,3030,390,2012,0,98065,47.517,-121.876,3010,5172,635000
+522079068,5/6/2015,3,2.5,2150,161607,2,0,0,3,7,1330,820,1995,0,98038,47.4178,-121.937,2400,207781,513000
+3023000200,5/5/2015,4,2.5,2110,5306,2,0,0,3,8,2110,0,2012,0,98038,47.356,-122.057,2250,5306,380000
+3758900023,5/21/2014,4,3.25,3810,8519,1,0,1,3,10,2680,1130,2007,0,98033,47.699,-122.207,3240,10748,1130000
+6204050160,6/8/2014,5,3,2870,4369,2,0,0,3,8,2090,780,2007,0,98011,47.7449,-122.192,2640,4610,540000
+8562780200,4/27/2015,2,2.25,1240,705,2,0,0,3,7,1150,90,2009,0,98027,47.5321,-122.073,1240,750,352499
+7702600949,5/5/2015,4,3.5,3610,6345,2,0,0,3,9,2370,1240,2008,0,98058,47.4283,-122.102,3010,29279,603000
+3442000127,5/30/2014,4,2.5,2310,5100,2,0,0,3,9,2310,0,2013,0,98177,47.7039,-122.36,1260,5100,685000
+255550070,6/26/2014,4,3,1930,3031,1,0,0,3,7,1200,730,2006,0,98019,47.7457,-121.985,1930,2611,330675
+7165700200,6/5/2014,3,3,1390,1080,2,0,0,3,7,1140,250,2006,0,98118,47.5323,-122.281,1450,1081,275000
+8096800270,7/16/2014,3,2.5,1578,7340,2,0,0,3,7,1578,0,2010,0,98030,47.3771,-122.186,1850,7200,259950
+4046500160,7/29/2014,3,2,1720,15000,1,0,0,3,9,1720,0,2011,0,98014,47.6927,-121.92,1900,15337,441000
+7882600326,12/3/2014,5,3.75,4700,11237,2,0,0,3,10,2930,1770,2006,0,98033,47.6624,-122.197,3180,13140,1140000
+9122001230,12/5/2014,3,3.5,1970,5079,2,0,0,3,8,1680,290,2007,0,98144,47.5816,-122.296,1940,6000,590000
+6373000187,9/18/2014,3,2.25,1460,1353,2,0,0,3,8,1050,410,2012,0,98116,47.5774,-122.412,1690,3776,497000
+7967000200,11/21/2014,3,2.5,1930,4000,2,0,0,3,8,1930,0,2014,0,98001,47.3518,-122.275,2050,4000,345500
+2902200241,6/23/2014,3,2.25,1300,907,2,0,0,3,8,1000,300,2006,0,98102,47.6371,-122.327,1300,1169,562500
+291310390,9/4/2014,3,2.25,1445,1087,2,0,0,3,7,1300,145,2005,0,98027,47.5339,-122.067,1410,1336,355000
+1604601572,9/5/2014,2,2.25,860,696,2,0,0,3,9,860,0,2009,0,98118,47.5663,-122.29,1100,3000,345000
+259500270,5/5/2014,3,2.5,3040,4535,2,0,0,3,9,3040,0,2007,0,98056,47.51,-122.185,2670,4666,478000
+3166900270,4/2/2015,3,2.5,2424,6143,2,0,0,3,9,2424,0,2014,0,98030,47.3512,-122.135,2381,6036,391500
+2926049582,4/12/2015,2,1.5,1084,3427,2,0,0,3,7,1084,0,1976,0,98125,47.7117,-122.326,1084,6250,265000
+3438503230,10/30/2014,3,2.5,2510,5320,2,0,0,3,8,2510,0,2005,0,98106,47.5374,-122.357,1820,5736,395000
+2827100075,7/27/2014,2,1.5,1220,1036,3,0,0,3,7,1220,0,2006,0,98133,47.7348,-122.347,1210,659,286308
+1702900624,5/27/2014,2,2.25,1280,835,2,0,0,3,7,1080,200,2009,0,98118,47.5592,-122.284,1280,1246,370000
+2856100935,9/23/2014,5,3.5,3740,5610,2,0,0,3,9,2860,880,2014,0,98117,47.6764,-122.392,1520,4590,1080000
+301401620,10/15/2014,3,2.5,1852,4000,2,0,0,3,7,1852,0,2014,0,98002,47.3451,-122.209,2475,4000,298900
+3630200520,4/21/2015,4,2.5,2580,5787,2,0,0,3,9,2580,0,2007,0,98029,47.5416,-121.994,2580,4410,775000
+323079065,6/24/2014,4,3.5,3190,31450,2,0,0,3,9,3190,0,2010,0,98027,47.501,-121.902,3000,72745,790000
+7172200125,8/27/2014,3,2.5,3400,5119,2,0,0,3,8,2300,1100,2014,0,98115,47.6843,-122.305,1740,5969,1050000
+3057000400,7/8/2014,2,1.5,1090,2686,2,0,0,3,7,1090,0,1982,0,98034,47.717,-122.19,1160,2158,249000
+3022900070,9/29/2014,3,2,2360,6145,1,0,0,3,8,2360,0,2011,0,98030,47.3564,-122.198,2304,5880,348000
+9406710060,11/14/2014,5,2.5,2460,5604,2,0,0,3,8,2460,0,2011,0,98038,47.3658,-122.037,2210,6395,358000
+3353401070,6/25/2014,5,2.5,2025,7760,2,0,0,3,7,2025,0,2007,0,98001,47.2671,-122.256,1664,9000,260000
+7853280570,6/4/2014,4,3,4410,5104,2,0,0,3,9,3400,1010,2006,0,98065,47.5392,-121.861,4390,5537,765000
+6192410550,5/28/2014,3,2.5,2810,5400,2,0,0,3,9,2810,0,2005,0,98052,47.7065,-122.118,2870,5400,739000
+8562710520,5/5/2014,5,3.5,4490,6000,2,0,0,3,10,3200,1290,2006,0,98027,47.5396,-122.073,4530,6000,890000
+1543000060,6/7/2014,4,2.5,3070,6432,2,0,0,3,9,3070,0,2006,0,98055,47.4487,-122.205,2910,5106,462000
+9536600810,7/8/2014,4,2.5,1984,32400,1,0,0,3,8,1564,420,1962,0,98198,47.36,-122.318,1390,9152,380000
+5428000070,5/11/2015,5,3.5,4750,8234,2,0,2,3,10,3350,1400,2013,0,98198,47.3574,-122.318,2160,14496,770000
+2309000060,8/18/2014,4,3.25,2760,4104,2,0,0,3,8,1900,860,2014,0,98056,47.5286,-122.187,2760,5186,641000
+8043700105,4/17/2015,4,4,4360,8175,2.5,1,4,3,10,3940,420,2007,0,98008,47.5724,-122.104,2670,8525,2300000
+7792000140,5/4/2015,4,2.5,3060,27251,1.5,0,0,3,8,3060,0,2008,0,98022,47.1967,-121.966,1760,27251,369000
+5244801550,9/16/2014,4,3,2770,2650,2,0,0,3,9,2180,590,2014,0,98109,47.6435,-122.354,1820,2960,1110000
+9310300160,8/28/2014,5,2.5,2990,9240,2,0,0,3,8,2990,0,2015,0,98133,47.7384,-122.348,1970,18110,357000
+6762700376,11/26/2014,3,2.75,1540,1251,2,0,0,3,8,1230,310,2002,0,98102,47.6298,-122.321,1540,1287,650000
+1972200428,6/25/2014,3,2.5,1400,1312,3.5,0,0,3,8,1400,0,2007,0,98103,47.6534,-122.355,1350,1312,563500
+7304301231,6/17/2014,3,2.5,1680,2229,2,0,0,3,7,1680,0,2007,0,98155,47.7484,-122.322,1230,9300,345000
+9512200140,7/25/2014,3,2,2260,7163,1,0,0,3,9,2260,0,2012,0,98058,47.4593,-122.136,2340,6730,479950
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+97600140,7/29/2014,4,2.5,2930,5000,2,0,0,3,9,2760,170,2007,0,98006,47.5424,-122.12,3230,5778,800000
+2822059360,7/24/2014,3,2,1239,6036,1,0,0,3,7,1239,0,2009,0,98030,47.3689,-122.175,2060,5746,253101
+6056110200,9/29/2014,3,3.5,2100,2479,2,0,0,3,9,1450,650,2011,0,98118,47.562,-122.292,1800,2457,555000
+6300000226,6/26/2014,4,1,1200,2171,1.5,0,0,3,7,1200,0,1933,0,98133,47.7076,-122.342,1130,1598,240000
+6300000226,5/4/2015,4,1,1200,2171,1.5,0,0,3,7,1200,0,1933,0,98133,47.7076,-122.342,1130,1598,380000
+9524100196,11/17/2014,2,1.5,680,772,2,0,0,3,7,680,0,2005,0,98103,47.695,-122.343,690,1059,239000
+3013300685,3/18/2015,4,3.25,2690,3995,2,0,0,3,9,2060,630,2014,0,98136,47.532,-122.384,1810,4590,760000
+2619950070,8/26/2014,4,2.5,2750,7200,2,0,0,3,8,2750,0,2011,0,98019,47.7327,-121.966,2750,7200,430000
+7203110240,5/22/2014,3,2.5,2450,4332,2,0,0,3,8,2450,0,2010,0,98053,47.6942,-122.016,2450,4154,660000
+7694200350,8/20/2014,4,2.5,2620,4050,2,0,0,3,8,2620,0,2014,0,98146,47.5017,-122.34,2030,3944,399963
+7600136,7/18/2014,2,2,1130,1148,2,0,0,3,9,800,330,2007,0,98122,47.6023,-122.314,1350,1201,411000
+1442880160,6/27/2014,4,2.75,2790,5527,2,0,0,3,8,2790,0,2014,0,98045,47.4827,-121.773,2620,5509,483453
+3277801580,11/10/2014,3,2,1820,1357,3,0,0,3,9,1820,0,2014,0,98126,47.5432,-122.376,1710,1372,469950
+1442880640,7/15/2014,4,2.75,2910,7467,2,0,0,3,8,2910,0,2013,0,98045,47.4841,-121.772,2790,7868,504058
+3845101070,4/28/2015,4,2.5,2568,5000,2,0,0,3,9,2568,0,2014,0,98092,47.2596,-122.194,2547,4500,425996
+6791900260,7/8/2014,4,2.75,3090,5859,2,0,0,3,9,3090,0,2010,0,98074,47.6057,-122.047,2960,5250,760005
+9828702339,4/20/2015,2,2,1460,1085,2,0,0,3,8,950,510,2014,0,98112,47.6205,-122.299,1580,1202,699999
+2255500125,7/16/2014,3,2.5,2010,2263,2,0,0,3,8,1340,670,2014,0,98122,47.6088,-122.311,1500,2670,749950
+5541300135,7/8/2014,4,2.5,2610,5140,2,0,0,3,8,2610,0,2006,0,98103,47.6951,-122.346,1190,5101,674600
+4083306616,2/24/2015,2,1.5,960,1000,2,0,0,3,8,920,40,2008,0,98103,47.6489,-122.335,1200,1297,450000
+8096800260,4/7/2015,3,2.5,1528,7616,2,0,0,3,7,1528,0,2011,0,98030,47.3774,-122.186,1850,7340,272000
+2997800024,7/14/2014,2,1.5,1310,1264,2,0,0,3,8,1120,190,2006,0,98106,47.5772,-122.409,1330,1265,450000
+952005863,5/5/2015,3,2.25,1760,2122,3,0,0,3,9,1760,0,2015,0,98116,47.5633,-122.385,1420,1618,643950
+7772850060,11/10/2014,3,2.5,1420,3542,2,0,0,3,8,1310,110,2007,0,98133,47.7731,-122.343,1180,1622,290000
+6130500070,10/8/2014,3,2.5,1650,2082,3,0,0,3,8,1650,0,2007,0,98133,47.7108,-122.332,1650,1965,378000
+8682300400,6/19/2014,3,2.5,2320,6775,1,0,0,3,8,2320,0,2008,0,98053,47.7158,-122.016,1680,4750,728050
+8956200990,4/26/2015,4,2.5,2628,11466,2,0,0,3,9,2628,0,2014,0,98001,47.2904,-122.264,2849,10909,499160
+9532000070,12/1/2014,4,2.5,2520,4831,2,0,0,3,8,2520,0,2009,0,98072,47.7711,-122.168,2430,3937,536000
+7570050070,2/5/2015,5,3.5,2880,5000,2,0,0,3,8,2260,620,2012,0,98038,47.3455,-122.023,2590,4800,419900
+946000295,12/10/2014,3,2.25,1440,1362,3,0,0,3,7,1440,0,2014,0,98117,47.6908,-122.365,1180,2603,469000
+3831250350,4/8/2015,3,2.5,2185,6042,2,0,0,3,9,2185,0,2009,0,98030,47.3573,-122.202,2297,5876,374000
+6056100160,7/28/2014,4,1.5,1500,2106,2,0,0,3,7,1500,0,2014,0,98108,47.5669,-122.297,1490,2175,182568
+1402970070,6/26/2014,3,2.5,1769,7324,2,0,0,3,9,1769,0,2012,0,98092,47.3307,-122.188,2502,6017,334888
+2524059267,9/17/2014,4,4,3650,18223,2,0,3,3,9,3330,320,2013,0,98006,47.5442,-122.116,3220,11022,799900
+8091670030,5/12/2014,4,2.5,2160,6223,2,0,0,3,8,2160,0,2010,0,98038,47.3494,-122.042,2160,5555,383000
+1825079046,12/18/2014,3,2.5,1820,374616,2,0,0,3,7,1820,0,1999,0,98014,47.6539,-121.959,1870,220654,580000
+255450390,7/7/2014,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3706,-122.017,2370,4200,351999
+9301300270,2/23/2015,3,3,3180,2758,2,0,2,3,11,2240,940,2008,0,98109,47.6377,-122.342,2420,2758,1330000
+9347300160,1/25/2015,3,2.5,1780,4077,2,0,0,3,8,1780,0,2011,0,98038,47.3568,-122.056,1970,4077,312000
+710600070,9/12/2014,4,3.5,2650,3127,2,0,0,3,8,2230,420,2011,0,98027,47.5381,-122.046,2330,3137,674950
+5556300116,12/29/2014,5,2.75,3300,7560,2,0,0,3,10,3300,0,2007,0,98052,47.6467,-122.118,3150,8580,1110000
+1324300126,3/13/2015,2,2.5,1160,1219,3,0,0,3,8,1160,0,2007,0,98107,47.6543,-122.358,1320,2800,415000
+9279700013,7/10/2014,3,3,3460,5353,2,0,0,3,10,2850,610,2007,0,98116,47.5858,-122.393,2460,6325,1250000
+3336500140,9/19/2014,3,2.5,1390,2450,2,0,0,3,7,1390,0,2009,0,98118,47.5298,-122.269,1390,2450,208800
+2767604212,10/29/2014,2,2.5,1260,1131,3,0,0,3,8,1260,0,2006,0,98107,47.6715,-122.384,1490,2500,452000
+6719600030,4/22/2015,5,2.75,2940,5225,2,0,0,3,8,2760,180,2010,0,98052,47.6879,-122.107,3090,6261,837000
+3204930510,2/24/2015,5,3.5,3190,4247,2,0,0,3,8,2430,760,2013,0,98052,47.7016,-122.103,2580,3989,780000
+7582700075,10/2/2014,4,3.5,3930,6120,2,0,0,3,10,3310,620,2007,0,98105,47.6646,-122.28,3390,6120,1490000
+191100435,9/26/2014,5,3.75,3570,10125,2,0,0,3,10,3570,0,2014,0,98040,47.5639,-122.223,1760,10125,1600000
+255450030,9/18/2014,3,2.5,2420,4725,2,0,0,3,8,2420,0,2014,0,98038,47.371,-122.018,2370,4200,369946
+9476200710,6/8/2014,3,2.75,3400,7200,2,0,2,3,9,2470,930,2009,0,98056,47.4878,-122.191,1580,8676,530000
+1329300070,3/20/2015,4,2.5,2478,6079,2,0,0,3,8,2478,0,2012,0,98030,47.3524,-122.175,2279,6079,386000
+357000135,2/18/2015,4,2.5,3070,7830,2,0,2,3,11,1970,1100,2009,0,98144,47.593,-122.291,2440,4682,1900000
+7203600560,9/11/2014,4,3.5,3200,7605,2,0,2,3,9,2500,700,2013,0,98198,47.3443,-122.327,2240,4416,735000
+715010140,10/2/2014,5,3.25,5790,12739,2,0,3,3,10,4430,1360,2014,0,98006,47.538,-122.114,5790,13928,1750000
+3869900138,2/23/2015,3,2.25,1590,926,3,0,0,3,8,1590,0,2014,0,98136,47.5402,-122.387,1640,1321,489950
+2114700374,4/13/2015,3,3,1730,1442,2,0,0,3,8,1440,290,2008,0,98106,47.5344,-122.348,1370,1524,357500
+9264450550,5/20/2014,4,2.5,2303,3680,2,0,0,3,8,2303,0,2013,0,98001,47.2599,-122.283,2303,3760,329995
+3862710200,9/25/2014,3,2.5,1790,3754,2,0,0,3,8,1790,0,2013,0,98065,47.534,-121.841,1800,3393,414000
+291310310,12/10/2014,3,3.5,2490,3517,2,0,0,3,8,1720,770,2005,0,98027,47.5341,-122.067,1600,2378,533500
+3814900260,3/5/2015,4,2.5,2669,5385,2,0,0,3,9,2669,0,2014,0,98092,47.3262,-122.165,2669,4645,402395
+8562790710,4/10/2015,4,3.25,2610,2552,2,0,0,3,10,2160,450,2008,0,98027,47.5322,-122.076,2610,2664,725000
+3425069117,8/28/2014,6,5.25,6160,27490,2,0,0,3,11,4040,2120,2007,0,98074,47.6094,-122.023,4225,9100,1280000
+2895800640,9/17/2014,2,1.75,1290,1493,2,0,0,3,8,1290,0,2014,0,98106,47.5171,-122.346,1410,1875,239800
+3438500253,9/4/2014,5,3.5,3560,5008,2,0,0,3,8,2810,750,2013,0,98106,47.5542,-122.359,2910,5026,616950
+3630200340,10/1/2014,4,3.25,4360,6000,2,0,3,3,11,3400,960,2007,0,98027,47.5408,-121.994,4310,6000,1260000
+2770601769,6/17/2014,3,2.25,1230,1238,2,0,0,3,8,1080,150,2009,0,98199,47.6519,-122.384,1230,953,435000
+2225069036,8/15/2014,4,3.25,3640,60086,2,0,0,3,10,3640,0,2005,0,98074,47.6328,-122.016,2900,51721,925000
+9525600030,4/28/2015,2,2.5,1780,2493,3,0,0,3,8,1780,0,1981,0,98107,47.6704,-122.358,2050,4400,631500
+993002108,3/30/2015,3,1.5,1140,1069,3,0,0,3,8,1140,0,2005,0,98103,47.6907,-122.342,1230,1276,399995
+993000327,5/6/2014,3,2,1270,1320,3,0,0,3,8,1270,0,2006,0,98103,47.6937,-122.342,1370,1320,369950
+1523059239,4/23/2015,5,3.5,2780,3583,2,0,0,3,8,2180,600,2005,0,98059,47.4879,-122.152,2640,3850,475000
+7967000270,11/25/2014,4,2.5,1912,5000,2,0,0,3,8,1912,0,2012,0,98001,47.3511,-122.275,2020,5000,353000
+7137800310,2/25/2015,4,2.5,2300,9690,2,0,0,3,8,2300,0,2006,0,98023,47.2793,-122.352,1200,9085,329950
+2211300260,3/13/2015,3,2.5,2828,4050,2,0,0,3,8,2828,0,2013,0,98030,47.382,-122.197,2513,4507,367000
+8956200070,9/5/2014,4,2.5,2425,9017,2,0,0,3,9,2425,0,2013,0,98001,47.3003,-122.263,2725,7019,447500
+1257201420,7/9/2014,4,3.25,3730,4560,2,0,0,3,9,2760,970,2015,0,98103,47.6725,-122.33,1800,4560,595000
+1523300140,9/4/2014,1,1,730,1942,1,0,0,3,7,730,0,2009,0,98144,47.5943,-122.299,1020,2044,325000
+9831200186,2/3/2015,2,2.5,1990,1756,3,0,0,3,9,1780,210,2005,0,98102,47.6264,-122.323,1955,1438,690000
+7660100238,11/11/2014,3,2.5,1300,812,2,0,0,3,8,880,420,2008,0,98144,47.5893,-122.317,1300,824,329950
+5381000477,1/28/2015,4,2.5,2560,7492,2,0,0,3,8,2560,0,2014,0,98188,47.4467,-122.287,1260,11541,399500
+207700180,1/21/2015,5,2.5,2450,5047,2,0,0,3,8,2450,0,2007,0,98011,47.7724,-122.168,2450,4478,555000
+5288200072,10/1/2014,2,1.5,1440,725,2,0,0,3,8,1100,340,2011,0,98126,47.5607,-122.378,1440,4255,427000
+9524100322,10/20/2014,3,2.25,1140,1557,3,0,0,3,8,1140,0,2007,0,98103,47.6947,-122.342,1140,1245,375000
+1732800184,5/8/2014,2,1.5,1110,957,2,0,0,3,8,930,180,2005,0,98119,47.6319,-122.362,1680,1104,499000
+1425069103,7/18/2014,3,2.5,2620,43832,2,0,0,3,8,2620,0,2013,0,98053,47.655,-122.009,2620,120686,750000
+8165500790,12/29/2014,3,2.5,1690,1200,2,0,0,3,8,1410,280,2014,0,98106,47.5388,-122.367,1740,1664,336900
+7658600081,9/19/2014,2,2.75,1950,1610,3,0,0,3,8,1950,0,2009,0,98144,47.5925,-122.302,910,1745,555000
+1245003268,11/6/2014,4,3.5,3530,8126,2,0,0,3,10,3530,0,2007,0,98033,47.6847,-122.2,2660,8126,1280000
+8010100220,10/14/2014,4,3.5,3310,4684,2,0,0,3,9,2290,1020,2014,0,98116,47.579,-122.389,1850,4750,999950
+7974200452,6/25/2014,5,3,2620,5477,2,0,0,3,10,2620,0,2009,0,98115,47.6804,-122.288,1680,5217,975000
+8943600360,2/19/2015,3,2.25,1350,3582,2,0,0,3,8,1350,0,2010,0,98031,47.4214,-122.191,1940,3860,299000
+3026059361,4/17/2015,2,2.5,1741,1439,2,0,0,3,8,1446,295,2007,0,98034,47.7043,-122.209,2090,10454,479000
+6130500120,4/17/2015,3,2.5,1650,2201,3,0,0,3,8,1650,0,2007,0,98133,47.7108,-122.333,1650,1965,428000
+3575305485,8/29/2014,3,2.5,1890,6500,2,0,0,3,7,1890,0,2012,0,98074,47.6225,-122.058,2340,7500,409000
+666000142,3/26/2015,3,3,1950,1833,3,0,0,3,9,1610,340,2009,0,98004,47.6078,-122.202,2040,2131,798500
+7853280620,12/12/2014,4,3.5,4490,5805,2,0,0,3,9,3390,1100,2006,0,98065,47.5389,-121.86,4410,6299,689000
+8946390040,5/8/2014,6,2.25,3206,5793,2,0,0,3,7,3206,0,2012,0,98032,47.369,-122.287,2527,5804,375000
+5416300230,7/17/2014,4,3.5,4130,77832,2,0,2,3,10,4130,0,2011,0,98042,47.3229,-122.045,4130,87476,775000
+1604730150,10/14/2014,5,3,2800,5700,2,0,0,3,8,2800,0,2014,0,98059,47.4969,-122.145,2910,5349,639983
+8669180150,3/26/2015,4,3,1984,4419,2,0,0,3,7,1984,0,2010,0,98002,47.3514,-122.213,2440,4418,300000
+1081330180,12/22/2014,4,2.5,2750,11830,2,0,0,3,9,2750,0,2014,0,98059,47.4698,-122.121,2310,11830,627000
+2309710230,4/15/2015,3,2.75,1740,5757,1,0,0,3,7,1740,0,2010,0,98022,47.1941,-121.979,2380,5647,275000
+2895800610,9/26/2014,4,2.25,1800,2752,2,0,0,3,8,1800,0,2014,0,98106,47.5167,-122.346,1650,2752,352800
+3362400092,3/12/2015,3,2.25,1540,1005,3,0,0,3,8,1540,0,2008,0,98103,47.6828,-122.346,1510,1501,565000
+3052700385,4/14/2015,4,2.25,2030,2222,2,0,0,3,9,1610,420,2015,0,98117,47.679,-122.375,1420,2222,765000
+2738640040,4/9/2015,4,2.5,3310,4839,2,0,0,3,9,3310,0,2007,0,98072,47.773,-122.161,3240,5280,644000
+8024200674,2/23/2015,3,1.5,1270,1416,3,0,0,3,8,1270,0,2007,0,98115,47.6988,-122.317,1270,1413,461000
+3353400092,12/23/2014,5,2.5,2406,7093,2,0,0,3,8,2406,0,2006,0,98001,47.2615,-122.252,1767,7093,270500
+6003500749,7/1/2014,2,2.25,1540,965,3,0,0,3,9,1540,0,2007,0,98122,47.6181,-122.318,1410,964,640000
+8956200530,8/5/2014,4,2.5,2820,6983,2,0,0,3,9,2820,0,2013,0,98001,47.2958,-122.265,2597,7222,457000
+133000271,12/1/2014,5,2.5,2540,5100,2,0,0,3,7,2540,0,2014,0,98168,47.5123,-122.316,1400,9440,355000
+6749700063,12/15/2014,2,2.25,1230,989,3,0,0,3,8,1230,0,2007,0,98103,47.6975,-122.348,1230,1223,356000
+3278613060,8/5/2014,4,2.5,1900,2766,2,0,0,3,8,1900,0,2014,0,98106,47.543,-122.368,1900,2604,425000
+7708200880,9/23/2014,5,2.75,2920,6327,2,0,0,3,8,2920,0,2007,0,98059,47.4935,-122.145,2520,5026,562500
+2767600673,7/1/2014,3,2.5,1450,1053,2,0,0,3,8,940,510,2008,0,98107,47.6754,-122.374,1410,1080,460000
+7299810040,4/6/2015,4,3,5370,69848,2,0,0,3,10,3500,1870,2005,0,98042,47.3166,-122.046,4443,94403,790000
+993000308,3/18/2015,3,2,1270,1333,3,0,0,3,8,1270,0,2006,0,98103,47.6933,-122.342,1330,1333,401000
+3364900040,8/28/2014,3,2.5,2550,5100,2,0,0,3,9,2550,0,2014,0,98115,47.6757,-122.326,1250,4080,1100000
+9578090180,4/3/2015,4,3,3070,7150,2,0,0,3,9,3070,0,2007,0,98052,47.7079,-122.107,3200,6984,850000
+9542840120,7/2/2014,3,2.25,1450,4050,2,0,0,3,7,1450,0,2010,0,98038,47.367,-122.019,1660,3800,274500
+3860900035,4/15/2015,5,3.5,4230,16526,2,0,0,3,10,4230,0,2008,0,98004,47.5933,-122.199,3000,12362,1940000
+7202300040,8/4/2014,4,2.5,3480,6262,2,0,0,3,9,3480,0,2003,0,98053,47.6857,-122.045,3490,6629,808000
+1773100972,5/15/2014,3,2.25,1490,974,2,0,0,3,7,1220,270,2009,0,98106,47.5567,-122.363,1490,1283,312000
+3626039424,6/16/2014,3,2.25,1200,1400,3,0,0,3,8,1200,0,2005,0,98133,47.7046,-122.357,1370,6552,320000
+3175200220,1/13/2015,3,2.5,2150,4332,2,0,0,3,8,2150,0,2013,0,98019,47.7373,-121.969,2140,4332,410000
+7852120120,6/20/2014,3,3.5,3690,8837,2,0,0,3,10,3690,0,2001,0,98065,47.5402,-121.876,3690,9585,725000
+7813500040,10/15/2014,4,2.5,1900,3301,2,0,0,3,7,1900,0,2007,0,98178,47.489,-122.249,1960,3379,335000
+7242800040,1/20/2015,4,3.25,1690,1321,2,0,0,3,8,1320,370,2014,0,98052,47.678,-122.117,3080,4558,519990
+1442880650,6/10/2014,4,2.75,2790,8853,2,0,0,3,8,2790,0,2013,0,98045,47.4842,-121.772,2790,8092,533112
+3355400242,10/28/2014,3,2,1936,6612,2,0,0,3,7,1936,0,2014,0,98001,47.2602,-122.246,1620,21600,274900
+8562780540,12/22/2014,2,2.25,1150,711,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.07,1150,748,325000
+923049203,5/29/2014,4,2.5,2040,22653,2,0,0,3,7,2040,0,2011,0,98168,47.4991,-122.299,2020,20502,350000
+3578600141,9/23/2014,4,2.5,2470,7539,2,0,0,3,9,2470,0,2006,0,98028,47.7407,-122.226,2580,7539,550000
+53500450,3/9/2015,4,2.5,1890,4158,2,0,0,3,8,1890,0,2014,0,98042,47.343,-122.056,2720,4549,311850
+1934800180,2/10/2015,3,2.5,1626,1583,2.5,0,0,3,8,1419,207,2007,0,98122,47.6031,-122.309,1400,1583,526000
+3023000210,10/1/2014,4,2.5,2250,5306,2,0,0,3,8,2250,0,2012,0,98038,47.356,-122.057,2250,5306,375000
+1773100967,2/23/2015,3,2.25,1350,1234,2,0,0,3,7,1160,190,2007,0,98106,47.5565,-122.363,1420,1234,299999
+2767704777,9/19/2014,3,2.5,1460,1238,2,0,0,3,8,1200,260,2008,0,98107,47.6719,-122.374,1280,1257,436000
+1085621960,12/12/2014,3,2.5,2056,3564,2,0,0,3,7,2056,0,2014,0,98092,47.338,-122.181,2056,3577,303000
+2771602174,7/1/2014,2,2.5,1160,1458,2,0,0,3,8,1040,120,2012,0,98119,47.6384,-122.373,1650,2311,525000
+6762700452,6/13/2014,3,3,1384,1287,2,0,0,3,8,1144,240,2006,0,98102,47.6295,-122.32,1570,1288,575000
+5695000142,10/24/2014,2,1.5,1100,1107,3,0,0,3,8,1100,0,2008,0,98103,47.6584,-122.35,1110,2750,420000
+9578140180,6/11/2014,3,2.5,2456,7566,2,0,0,3,8,2456,0,2012,0,98023,47.297,-122.351,2478,7212,329950
+2124069115,10/21/2014,4,4.25,4500,215186,2,0,3,3,11,2630,1870,2009,0,98029,47.559,-122.045,3030,25447,1830000
+3864000120,4/8/2015,4,3.25,3780,10099,1,0,1,3,11,2240,1540,2006,0,98006,47.5508,-122.192,3120,10669,1180000
+2768200212,9/11/2014,2,2.5,1320,1157,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.363,1550,1519,499950
+7852070210,5/27/2014,4,3,5940,11533,2,0,4,3,11,4950,990,2004,0,98065,47.5443,-121.87,4240,12813,1150000
+7853361210,2/18/2015,3,2,1650,5027,1.5,0,0,3,7,1650,0,2009,0,98065,47.515,-121.874,2430,6000,400000
+8141310040,6/27/2014,3,3,1670,4440,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.975,1670,4622,246950
+6852700097,8/6/2014,3,3.25,1610,1275,2,0,0,3,8,1220,390,2005,0,98102,47.6236,-122.318,1750,3000,630000
+7708210040,9/12/2014,5,2.75,3370,10315,2,0,0,3,9,3370,0,2006,0,98059,47.4893,-122.146,3010,8296,561000
+53500760,12/8/2014,4,2.5,2660,4082,2,0,0,3,7,2660,0,2010,0,98042,47.3414,-122.055,2390,4876,287000
+3528900771,3/31/2015,3,3.25,1690,1473,2,0,0,3,8,1380,310,2008,0,98109,47.6397,-122.345,1670,2594,600000
+9126100813,8/28/2014,3,2.25,1620,1062,3,0,0,3,8,1620,0,2014,0,98122,47.6051,-122.304,1560,1728,490000
+3679400503,3/30/2015,3,1.75,1300,958,2,0,0,3,7,840,460,2011,0,98108,47.5677,-122.314,1340,1254,330000
+1760650210,12/1/2014,4,2.5,1610,4052,2,0,0,3,7,1610,0,2013,0,98042,47.3603,-122.081,2110,4034,286950
+2652501565,4/23/2015,3,3.25,3530,4920,2,0,0,3,9,2660,870,2015,0,98109,47.641,-122.357,1900,4200,1550000
+1237500577,2/12/2015,4,2.5,3550,8618,2,0,0,3,10,3550,0,2007,0,98052,47.6776,-122.161,1310,9746,880000
+6382500084,10/13/2014,3,3,1730,1755,3,0,0,3,8,1730,0,2014,0,98117,47.6944,-122.377,1830,1804,577450
+3023000410,4/30/2015,5,2.75,2400,4900,2,0,0,3,8,2400,0,2011,0,98038,47.355,-122.057,2110,5696,405000
+2767601752,7/7/2014,3,2.5,1420,1237,3,0,0,3,8,1420,0,2014,0,98107,47.674,-122.387,1510,2501,510000
+2771604196,8/12/2014,2,1.5,1220,1120,2.5,0,0,3,8,1110,110,2008,0,98199,47.6374,-122.388,2010,3175,465000
+1778500620,7/7/2014,4,2.25,2360,4000,2,0,0,3,9,2360,0,2013,0,98112,47.6198,-122.289,3040,4400,1300000
+1823059241,4/8/2015,4,3.5,3990,11270,2,0,3,3,9,2930,1060,2007,0,98055,47.488,-122.225,1980,11328,609000
+9267200062,9/11/2014,3,2.5,1260,1211,3,0,0,3,8,1260,0,2004,0,98103,47.6969,-122.343,1270,1211,336000
+3278606110,1/8/2015,3,2.5,1580,2407,2,0,0,3,8,1580,0,2013,0,98126,47.5455,-122.368,1580,2212,375000
+1657530180,12/4/2014,3,2.5,1760,2688,2,0,0,3,7,1760,0,2005,0,98059,47.4903,-122.166,1760,2329,294500
+2754700035,11/25/2014,5,3.5,3420,4216,2,0,0,3,9,2520,900,2008,0,98115,47.6799,-122.304,1420,4500,925000
+2568200120,12/15/2014,5,2.75,2870,6593,2,0,0,3,9,2870,0,2006,0,98052,47.7075,-122.102,3150,6593,730000
+6601200040,9/19/2014,4,2.5,1934,5677,2,0,0,3,8,1934,0,2013,0,98001,47.2602,-122.252,1919,5049,280000
+2767601750,8/15/2014,3,1.5,1220,962,3,0,0,3,8,1220,0,2014,0,98107,47.674,-122.387,1510,2501,500000
+7853350220,3/24/2015,3,2.75,2450,5750,2,0,0,3,9,2450,0,2013,0,98065,47.5439,-121.862,3200,8036,605000
+6163900628,5/16/2014,3,3.25,1860,1787,3,0,0,3,8,1860,0,2007,0,98155,47.7563,-122.316,1830,1787,379950
+1689401526,3/23/2015,3,2.5,1500,1119,3,0,2,3,7,1110,390,2008,0,98109,47.6327,-122.346,1500,1057,605000
+8725950360,5/1/2015,2,1.75,1570,1108,3,0,0,3,9,1570,0,2007,0,98004,47.6215,-122.2,1940,1160,720000
+9826700697,11/3/2014,3,2,1280,960,2,0,0,3,9,1040,240,2014,0,98122,47.602,-122.311,1280,1173,549900
+9578500180,1/21/2015,3,2.5,3192,5653,2,0,0,3,8,3192,0,2014,0,98023,47.2956,-122.35,3000,5134,427000
+9826700707,10/28/2014,3,2.5,1690,1479,3,0,0,3,8,1420,270,2005,0,98122,47.6022,-122.311,1280,1253,492000
+8138870530,5/5/2014,2,2.5,1590,1426,2,0,0,3,8,1590,0,2014,0,98029,47.5441,-122.013,1590,1426,419190
+4188300180,11/12/2014,3,2.5,2870,7288,2,0,0,3,9,2870,0,2012,0,98011,47.7745,-122.225,2870,5998,650000
+5416510530,11/24/2014,4,2.5,2580,4818,2,0,0,3,8,2580,0,2005,0,98038,47.3607,-122.038,2570,5386,379950
+4181200540,7/28/2014,4,2.75,1830,3420,2,0,0,3,8,1830,0,2012,0,98198,47.366,-122.308,1813,3420,269800
+2222059154,8/13/2014,4,2.5,2927,6000,2,0,0,3,7,2927,0,2011,0,98042,47.3737,-122.16,2533,6000,407000
+8032700072,4/15/2015,3,1.5,1320,1250,3,0,0,3,8,1320,0,2008,0,98103,47.6536,-122.341,1560,1694,580000
+7203140220,1/16/2015,3,2.5,1720,3581,2,0,0,3,7,1720,0,2011,0,98053,47.6861,-122.013,1720,3600,389700
+1278000210,3/11/2015,2,1,828,4524,1,0,0,3,6,828,0,1968,2007,98001,47.2655,-122.244,828,5402,110000
+6058600220,7/31/2014,3,1.5,1040,1264,2,0,0,3,9,900,140,2015,0,98144,47.5951,-122.301,1350,3000,230000
+1442880610,8/29/2014,4,2.75,2790,6685,2,0,0,3,8,2790,0,2014,0,98045,47.4838,-121.773,2790,6444,533380
+3679400484,9/18/2014,3,2.5,1410,1332,2,0,0,3,7,960,450,2014,0,98108,47.5683,-122.314,1410,1343,295500
+3825310180,10/7/2014,4,4.5,4040,8400,2,0,0,3,9,3220,820,2006,0,98052,47.7067,-122.131,3940,8400,860000
+3630220180,7/8/2014,4,3.5,3370,3634,2,0,0,3,9,2750,620,2007,0,98029,47.5519,-122.001,3200,3650,812000
+3336500180,6/5/2014,3,2.5,1660,3990,2,0,0,3,7,1660,0,2009,0,98118,47.5298,-122.268,1670,4050,324500
+2781270530,3/26/2015,2,1.75,910,2550,1,0,0,3,6,910,0,2004,0,98038,47.3494,-122.022,1310,2550,193000
+993001563,5/22/2014,3,2.25,1280,959,3,0,0,3,8,1280,0,2005,0,98103,47.6914,-122.343,1130,1126,355000
+9578060540,6/14/2014,4,2.75,2360,4924,2,0,0,3,8,2360,0,2008,0,98028,47.7737,-122.235,2360,4670,525000
+2222059052,2/27/2015,3,2.5,2529,9653,2,0,0,3,7,2529,0,2012,0,98042,47.3738,-122.161,2533,6125,370950
+1239400650,11/7/2014,4,3.5,4700,10183,1,0,2,3,11,2660,2040,2002,0,98033,47.6728,-122.189,3770,9000,1240000
+8835800450,5/4/2015,3,2.5,2780,275033,1,0,0,3,10,2780,0,2006,0,98045,47.4496,-121.766,1680,16340,950000
+293070120,9/18/2014,4,2.75,3540,5500,2,0,0,3,9,3540,0,2014,0,98074,47.6181,-122.056,3540,5500,888990
+1176001117,3/19/2015,3,2.5,1580,1321,2,0,2,3,8,1080,500,2014,0,98107,47.6688,-122.402,1530,1357,705000
+7889601165,8/26/2014,3,2.5,1700,2250,2,0,0,3,7,1700,0,2014,0,98168,47.4914,-122.334,1520,4500,268000
+7227801581,5/7/2014,3,2.5,1600,3573,2,0,0,3,7,1600,0,2013,0,98056,47.507,-122.181,1500,11089,305450
+9895000040,7/3/2014,2,1.75,1410,1005,1.5,0,0,3,9,900,510,2011,0,98027,47.5446,-122.018,1440,1188,399900
+9528102993,12/29/2014,3,1.5,1580,1228,3,0,0,3,8,1580,0,2014,0,98115,47.6765,-122.32,1580,3605,495000
+3746700120,11/4/2014,3,3.5,3940,11632,2,0,0,3,10,3940,0,2014,0,98166,47.438,-122.344,2015,11632,857326
+745530040,9/11/2014,5,2.75,4450,9600,2,0,0,3,9,3650,800,2014,0,98011,47.7336,-122.21,4000,9750,845950
+7299600180,6/10/2014,4,2.5,2009,5000,2,0,0,3,8,2009,0,2014,0,98092,47.2577,-122.198,2009,5182,303210
+2149800278,10/15/2014,6,5,2732,7655,2,0,0,3,7,2732,0,2009,0,98002,47.3045,-122.211,3078,69993,343000
+2517000650,7/16/2014,3,2.5,2090,4590,2,0,0,3,7,2090,0,2005,0,98042,47.3992,-122.163,2190,4060,300000
+6021503708,11/22/2014,2,2.5,980,1013,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,334900
+8559300120,4/16/2015,5,3.5,2815,5619,2,0,0,3,9,2815,0,2012,0,98055,47.4299,-122.207,2583,5295,477500
+3305100230,6/18/2014,4,2.5,3170,8523,2,0,0,3,9,3170,0,2008,0,98033,47.6854,-122.184,3230,8523,820000
+2135200155,8/5/2014,5,3.25,3030,7410,2,0,0,3,8,2150,880,2014,0,98106,47.553,-122.354,2020,7410,580000
+2919700109,7/22/2014,2,2.5,1280,940,2,0,0,3,8,1060,220,2006,0,98103,47.6904,-122.364,1290,2900,350000
+8725950220,2/26/2015,3,2.5,2030,1160,3,0,0,3,9,1970,60,2007,0,98004,47.6213,-122.2,1950,1160,910000
+1776230220,6/26/2014,3,2.5,2490,4540,2.5,0,0,3,8,2490,0,2012,0,98059,47.5051,-122.155,2640,3844,414000
+9211010230,3/30/2015,3,2.5,3030,4500,2,0,0,3,8,3030,0,2009,0,98059,47.4944,-122.15,3030,4501,525000
+1972201772,4/9/2015,2,2.5,1470,690,3,0,3,3,8,1470,0,2008,0,98103,47.6523,-122.346,1480,1284,650000
+9268851320,12/10/2014,3,2.25,1620,997,2.5,0,0,3,8,1540,80,2012,0,98027,47.5394,-122.027,1620,1068,450000
+1424059154,5/16/2014,4,3,5520,8313,2,0,3,3,9,3570,1950,2008,0,98006,47.5655,-122.129,3770,8278,1270000
+626059365,4/12/2015,3,3.5,3200,10344,2,0,0,3,10,3200,0,2007,0,98011,47.7636,-122.216,2550,20152,699000
+3885802136,7/23/2014,4,2.5,2580,3943,2,0,0,3,8,2580,0,2013,0,98033,47.6853,-122.21,1700,5772,899000
+7967000150,8/8/2014,4,3,2050,4000,2,0,0,3,8,2050,0,2014,0,98001,47.3523,-122.275,2050,4000,353500
+7853360720,9/8/2014,3,2.5,2430,5867,2,0,0,3,7,2430,0,2011,0,98065,47.5162,-121.872,2620,5866,485000
+8562790150,6/26/2014,4,3.25,3060,3898,2,0,0,3,10,2300,760,2014,0,98027,47.5311,-122.073,2920,3448,782900
+1226039124,4/28/2015,2,2,1540,9714,2,0,0,3,8,1540,0,2008,0,98177,47.7628,-122.359,1840,8179,529000
+2767704251,4/16/2015,3,3.25,1310,1072,2,0,0,3,8,1060,250,2008,0,98107,47.6744,-122.374,1160,1266,514700
+3862710210,5/20/2014,3,2.5,1800,3168,2,0,0,3,8,1800,0,2014,0,98065,47.5342,-121.841,1800,3393,409316
+255460330,5/6/2015,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3699,-122.019,2370,4370,388598
+291310610,2/27/2015,3,2.25,1445,1512,2,0,0,3,7,1300,145,2004,0,98027,47.5341,-122.069,1445,1082,415000
+9126101121,4/7/2015,3,2.25,1450,1619,2,0,0,3,8,1140,310,2006,0,98122,47.6076,-122.304,1580,3472,521500
+9274200322,8/20/2014,3,2.5,1740,1236,3,0,2,3,8,1740,0,2008,0,98116,47.5891,-122.387,1740,1280,580000
+6666830230,6/30/2014,4,2.5,3560,5265,3,0,0,3,8,3560,0,2014,0,98052,47.7047,-122.113,3220,4892,882566
+1604601803,4/8/2015,3,2.75,2130,1400,2,0,0,3,9,1080,1050,2010,0,98118,47.5661,-122.29,1880,3132,525000
+7702080150,12/1/2014,5,2.75,2980,4502,2,0,0,3,9,2980,0,2007,0,98028,47.7698,-122.235,2850,4501,515000
+7853400220,9/26/2014,3,3,2840,7201,2,0,0,3,9,2840,0,2014,0,98065,47.5165,-121.883,2540,5260,589410
+3895100039,3/24/2015,4,2.5,3420,6845,2,0,0,3,9,3420,0,2009,0,98052,47.6777,-122.156,2800,5715,757500
+7697000150,10/2/2014,3,2.5,1660,4083,2,0,0,3,7,1660,0,2013,0,98038,47.3595,-122.045,1800,4087,284000
+8562780530,3/28/2015,2,2.25,1150,711,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,748,338500
+291310180,6/13/2014,3,2.25,1410,1287,2,0,0,3,7,1290,120,2005,0,98027,47.5344,-122.068,1490,1435,379500
+1972205633,7/23/2014,3,2,1420,1369,2.5,0,0,3,9,1340,80,2007,0,98109,47.6472,-122.357,1540,2168,550000
+3023000120,9/2/2014,3,2.5,1860,5025,2,0,0,3,8,1860,0,2010,0,98038,47.3557,-122.059,2000,5550,294900
+7548301056,6/9/2014,2,1.5,1340,1210,2,0,0,3,8,1120,220,2008,0,98144,47.588,-122.305,1340,1213,345000
+9826701201,2/9/2015,2,1.5,1530,1012,2,0,0,3,8,1200,330,2005,0,98122,47.602,-122.306,1530,1425,450000
+6300500476,4/15/2015,3,2.5,1509,1114,3,0,0,3,8,1509,0,2014,0,98133,47.7049,-122.34,1509,2431,420000
+2597490410,4/2/2015,3,2.5,2350,3798,2,0,0,3,8,2350,0,2013,0,98029,47.543,-122.01,2020,3532,740000
+3448001411,2/20/2015,2,1.5,1010,825,3,0,0,3,7,1010,0,2007,0,98125,47.7124,-122.301,1128,1080,286000
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+2419700080,5/5/2015,4,2.5,2910,4356,3,0,0,3,8,2910,0,2010,0,98034,47.6705,-122.146,2840,4181,915000
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+8564860280,5/2/2014,3,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4761,-121.734,2990,6037,459990
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+3304040130,2/12/2015,3,2,1824,7120,1,0,0,3,9,1824,0,2010,0,98001,47.3457,-122.27,2409,6264,375900
+8562790480,10/6/2014,3,2.5,2220,2873,2,0,0,3,10,2010,210,2012,0,98027,47.5311,-122.074,2290,3213,654000
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+1972200728,11/24/2014,3,2.5,1909,1300,3,0,0,3,8,1766,143,2006,0,98103,47.6538,-122.352,1780,1248,630500
+8691420050,11/7/2014,4,3.5,3460,7702,2,0,0,3,10,3460,0,2010,0,98075,47.5942,-121.977,3380,7464,855000
+6601200020,1/27/2015,4,2.5,1954,5075,2,0,0,3,8,1954,0,2007,0,98001,47.2606,-122.253,1934,5000,235245
+200480020,7/10/2014,5,2.5,3000,7912,1,0,0,3,9,1610,1390,2007,0,98033,47.6765,-122.175,2700,7205,770000
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+3885802134,1/9/2015,4,2.5,2580,3436,2,0,0,3,8,2580,0,2013,0,98033,47.6853,-122.21,1780,5772,880000
+9578060420,1/14/2015,4,3,2650,4924,2,0,0,3,8,2650,0,2011,0,98028,47.7734,-122.238,2380,4733,525000
+3630200080,8/7/2014,4,3.5,3390,3960,2,0,0,3,10,3390,0,2008,0,98027,47.5406,-121.995,2990,3400,775000
+3876900089,4/30/2015,3,1.75,1470,873,3,0,0,3,10,1470,0,2009,0,98119,47.6256,-122.362,1410,967,687015
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+3326059253,3/30/2015,4,2.5,3030,7187,2,0,0,3,9,3030,0,2005,0,98033,47.6934,-122.166,3030,7187,815000
+2224069109,4/27/2015,4,3.25,2930,25020,2,0,0,3,9,2930,0,2013,0,98029,47.5514,-122.023,2400,32374,1050000
+3862700020,4/23/2015,3,2.5,1650,2787,2,0,0,3,8,1650,0,2014,0,98065,47.5336,-121.838,1760,2787,433190
+3629980080,12/10/2014,4,2.5,2870,5118,2,0,0,3,9,2870,0,2006,0,98029,47.5544,-121.99,2940,4800,725000
+7299600950,4/8/2015,3,2.5,1608,4800,2,0,0,3,8,1608,0,2013,0,98092,47.2585,-122.201,2009,4800,279950
+5528600005,3/27/2015,2,2.5,1620,3795,2,0,0,3,7,1620,0,2014,0,98027,47.5321,-122.034,1620,6000,272167
+3052700419,6/16/2014,3,2.5,1350,1186,2,0,0,3,8,1120,230,2007,0,98117,47.6786,-122.375,1500,1605,468500
+9542840630,6/2/2014,3,2.5,1950,3600,2,0,0,3,7,1950,0,2010,0,98038,47.3658,-122.021,1870,4184,298000
+7896300592,1/14/2015,6,4.5,3390,7200,2,0,0,3,8,2440,950,2007,0,98118,47.5205,-122.288,2040,7214,303500
+9268850480,4/10/2015,3,1.75,1300,1237,2,0,0,3,7,1060,240,2008,0,98027,47.539,-122.026,1350,942,308000
+3629700020,4/15/2015,3,3,2230,1407,2.5,0,0,3,8,1850,380,2014,0,98027,47.5446,-122.017,2230,1407,646800
+8648900010,1/2/2015,4,2.5,1880,3853,2,0,0,3,8,1880,0,2010,0,98027,47.5636,-122.094,1890,3078,530200
+5422950170,11/12/2014,5,2.5,3370,5092,2,0,0,3,7,3370,0,2006,0,98038,47.3594,-122.036,2910,5092,405000
+2768200213,7/24/2014,2,2.5,1320,1395,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.362,1550,1519,529000
+642150080,9/8/2014,3,2.5,2920,9096,2,0,0,3,9,2920,0,2013,0,98059,47.4855,-122.149,2930,7995,675900
+2770601912,4/2/2015,3,3.25,1550,1280,2,0,0,3,9,1220,330,2013,0,98199,47.6493,-122.384,1550,1579,570000
+3304040020,12/26/2014,4,2.5,2301,6452,2,0,0,3,9,2301,0,2010,0,98001,47.346,-122.269,2650,6054,375500
+3629960170,10/21/2014,3,3.25,1710,1960,2,0,0,3,8,1360,350,2004,0,98029,47.5479,-122.003,1420,955,445000
+1238900130,1/5/2015,4,3.75,2890,4164,2,0,0,3,9,2240,650,2013,0,98033,47.676,-122.197,2354,3207,1100000
+6056100114,8/25/2014,3,2.5,2100,5060,2,0,0,3,7,2100,0,2006,0,98108,47.563,-122.298,1520,2468,477000
+4140940130,11/21/2014,3,2.75,2240,3360,2,0,0,3,8,2100,140,2014,0,98178,47.4999,-122.232,1790,5873,450000
+6824100007,3/26/2015,3,3,1460,1200,3,0,0,3,8,1460,0,2006,0,98117,47.7,-122.367,1460,1245,427005
+1959700225,2/24/2015,3,1.75,1370,1990,3,0,0,3,9,1370,0,2014,0,98102,47.6434,-122.324,1730,1990,720000
+518500460,10/8/2014,3,3.5,3760,5634,2,1,4,3,11,2830,930,2014,0,98056,47.5285,-122.205,3560,5762,2230000
+923059252,5/27/2014,4,3.25,2510,5311,2,0,0,3,9,2510,0,2009,0,98056,47.5028,-122.17,1590,9583,450800
+3052700213,8/29/2014,2,2.25,1210,1267,2,0,0,3,8,1120,90,2010,0,98117,47.6783,-122.376,1360,1349,461100
+2428100080,10/1/2014,4,3,2990,6695,2,0,0,3,10,2990,0,2014,0,98075,47.5817,-122.047,2760,6600,1060000
+9276202130,4/8/2015,3,2.5,1710,2875,2,0,0,3,8,1710,0,2006,0,98116,47.5787,-122.392,1640,5750,590000
+3845100670,7/16/2014,4,2.5,3274,4950,2,0,0,3,9,3274,0,2014,0,98092,47.2603,-122.195,2578,4200,478830
+4319200675,7/9/2014,4,2.25,3300,8365,3,0,0,3,9,3300,0,2014,0,98126,47.5363,-122.377,1290,8369,760000
+323059327,7/3/2014,4,3.5,4370,10860,2,0,0,3,11,4370,0,2008,0,98059,47.5066,-122.148,3560,8070,1030000
+3448720020,6/13/2014,4,2.5,2050,5276,2,0,0,3,7,2050,0,2006,0,98059,47.491,-122.15,2480,5447,385000
+7234600832,5/16/2014,2,2.5,1310,1500,2,0,0,3,8,1160,150,2006,0,98122,47.6112,-122.309,1320,1581,500000
+4045500950,4/15/2015,3,1.5,1680,8000,1.5,0,0,3,7,1680,0,2012,0,98014,47.6923,-121.869,1990,26336,425000
+7234600098,9/5/2014,3,3,1330,1379,2,0,0,4,8,1120,210,2005,0,98122,47.6126,-122.313,1810,1770,552100
+666000143,12/29/2014,3,3,1950,1983,3,0,0,3,9,1610,340,2009,0,98004,47.6078,-122.202,2040,2131,785000
+3343903611,3/23/2015,5,3.25,3090,7069,2,0,0,3,9,3090,0,2012,0,98056,47.5114,-122.196,2480,8000,615000
+1760650950,4/23/2015,3,2.5,1950,3825,2,0,0,3,7,1950,0,2013,0,98042,47.3588,-122.082,1950,3825,309000
+5100403818,2/20/2015,3,2,1108,1128,3,0,0,3,7,1108,0,2009,0,98115,47.6961,-122.318,1285,1253,369500
+2325400170,2/11/2015,4,2.25,2190,3850,2,0,0,3,7,2190,0,2006,0,98059,47.4861,-122.161,2190,3980,391000
+5700000446,10/29/2014,3,1.75,1590,1322,2,0,0,3,8,1060,530,2014,0,98144,47.5753,-122.294,1530,5400,465000
+9492500010,6/6/2014,4,2.75,3010,7215,2,0,0,3,9,3010,0,2014,0,98033,47.6952,-122.178,3010,7215,879950
+2461900446,10/23/2014,3,2,1330,1042,2,0,0,3,8,1060,270,2014,0,98136,47.5522,-122.382,1440,2428,372000
+8669160170,5/22/2014,3,2.5,1550,3569,2,0,0,3,7,1550,0,2011,0,98002,47.3528,-122.211,2095,3402,259000
+3644100101,7/7/2014,2,1.5,1260,1575,2,0,0,3,7,1260,0,2001,0,98144,47.5914,-122.295,1220,1740,374000
+7852090680,3/5/2015,4,2.5,2550,5395,2,0,0,3,8,2550,0,2001,0,98065,47.5355,-121.874,2850,6109,561000
+5693501028,4/3/2015,3,2.5,1300,1331,3,0,0,3,8,1300,0,2007,0,98103,47.6607,-122.352,1450,5270,610000
+3629700080,1/8/2015,3,3,2230,1407,2.5,0,0,3,8,1850,380,2014,0,98027,47.5446,-122.017,2290,1407,635000
+3278600680,6/27/2014,1,1.5,1170,1456,2,0,0,3,8,1070,100,2007,0,98126,47.5493,-122.372,1360,1730,235000
+2738640470,7/16/2014,4,3.5,4170,4524,2,0,0,3,9,3500,670,2007,0,98072,47.7726,-122.162,3510,5001,623300
+7853320950,10/23/2014,3,2,1680,5246,1,0,0,3,7,1680,0,2007,0,98065,47.5206,-121.868,2430,6883,412500
+5635100050,11/21/2014,4,3.25,2864,8035,3,0,0,3,8,2864,0,2014,0,98030,47.3746,-122.189,2419,8984,380000
+3629990280,6/23/2014,3,2.25,1630,3817,2,0,0,3,7,1630,0,2005,0,98029,47.5485,-121.999,1630,3348,497000
+6306800020,11/11/2014,4,2.5,2716,7850,2,0,0,3,9,2716,0,2014,0,98030,47.352,-122.197,2580,14448,452000
+7697000170,10/25/2014,3,2.5,1750,4076,2,0,0,3,7,1750,0,2013,0,98038,47.3597,-122.045,1810,4090,312000
+5057100080,9/19/2014,5,3,3223,6371,2,0,0,3,9,3223,0,2014,0,98042,47.3588,-122.163,1979,19030,469950
+5276200020,8/5/2014,5,2.5,2600,4284,2,0,0,3,9,2600,0,2014,0,98136,47.5409,-122.39,1620,5000,775000
+5727500006,4/27/2015,4,2.75,3320,8653,2,0,0,3,8,3320,0,2014,0,98133,47.7521,-122.334,2140,8727,679990
+9268850130,6/27/2014,4,2,1350,942,3,0,0,3,7,1350,0,2008,0,98027,47.5401,-122.026,1390,942,288790
+9293000170,4/8/2015,5,2.5,3410,4726,2,0,0,3,9,3410,0,2007,0,98006,47.5459,-122.184,2810,5129,800000
+7299601870,4/27/2015,3,2.5,1572,4000,2,0,0,3,8,1572,0,2013,0,98092,47.2615,-122.198,1608,5175,299000
+1760650500,1/29/2015,4,2.5,2300,4482,2,0,0,3,7,2300,0,2013,0,98042,47.3599,-122.082,2300,3825,332000
+7174800094,4/20/2015,1,1.5,1030,5923,1,0,0,3,8,1030,0,1940,0,98105,47.6653,-122.305,2650,5000,525000
+6909200007,9/3/2014,3,1.75,1458,858,2,0,0,3,8,950,508,2014,0,98144,47.592,-122.293,1458,3000,620000
+7853321150,11/3/2014,4,2.5,2190,6896,2,0,0,3,7,2190,0,2007,0,98065,47.5191,-121.869,2190,5900,452000
+1105000402,10/28/2014,4,3,3640,5096,2,0,0,3,8,2740,900,2010,0,98118,47.5428,-122.27,1910,9189,630000
+1442870420,7/24/2014,4,2.75,2790,7803,2,0,0,3,8,2790,0,2013,0,98045,47.4823,-121.772,2620,6178,485000
+3682000050,10/13/2014,4,2.5,2632,4117,2,0,0,3,8,2632,0,2013,0,98001,47.3428,-122.278,2040,5195,349950
+1442880080,7/1/2014,4,2.75,2910,6334,2,0,0,3,8,2910,0,2013,0,98045,47.4826,-121.771,2790,6352,499990
+7169500020,12/5/2014,2,2.25,1470,1101,2,0,0,3,8,1340,130,2005,0,98115,47.6768,-122.301,1470,1582,510000
+2911700010,3/3/2015,3,2.5,2240,21477,2,0,2,3,8,2240,0,1995,0,98006,47.5745,-122.18,2930,21569,1080000
+9578060470,5/8/2014,3,2.5,2310,4729,2,0,0,3,8,2310,0,2011,0,98028,47.7734,-122.237,2440,4711,494000
+1776460190,6/26/2014,3,2.5,2370,5353,2,0,0,3,8,2370,0,2009,0,98019,47.7333,-121.975,2130,6850,429900
+3449500050,10/15/2014,4,2.75,2980,9825,1,0,0,3,8,1910,1070,2007,0,98056,47.5073,-122.172,2580,12231,505000
+2309710130,7/15/2014,4,2,1870,6551,1,0,3,3,7,1870,0,2009,0,98022,47.1934,-121.977,2280,5331,272000
+1972201511,2/10/2015,3,2.5,1770,1714,3,0,0,3,8,1770,0,2012,0,98103,47.6532,-122.348,1720,3360,671500
+7852120050,3/11/2015,4,3.5,3510,10010,2,0,0,3,10,3510,0,2001,0,98065,47.5412,-121.876,4200,9935,729950
+3814900660,7/21/2014,4,2.5,3281,5354,2,0,0,3,9,3281,0,2014,0,98092,47.3273,-122.163,2598,4815,471835
+8141310080,11/3/2014,3,2,1670,4438,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.974,1670,4558,249950
+7207900050,8/8/2014,5,3.5,2760,3846,2.5,0,0,3,8,2760,0,2013,0,98056,47.5047,-122.17,2760,4587,424950
+2424059163,7/9/2014,5,3.5,5430,10327,2,0,2,3,10,4010,1420,2007,0,98006,47.5476,-122.116,4340,10324,1240000
+2140950130,9/11/2014,4,2.5,2990,7928,2,0,0,3,9,2990,0,2011,0,98010,47.3139,-122.024,2810,7401,440000
+1776230190,4/8/2015,4,3.5,3170,3858,2,0,0,3,8,2530,640,2008,0,98059,47.5049,-122.155,2640,3844,495000
+3524039224,5/13/2014,4,2.5,3520,6773,2.5,0,0,3,9,2650,870,2006,0,98136,47.5317,-122.391,2930,6458,870000
+5694500840,11/25/2014,2,3,1650,960,3,0,0,3,8,1350,300,2015,0,98103,47.6611,-122.346,1650,3000,559000
+4014400381,5/7/2014,4,2.75,2656,21195,2,0,0,3,9,2656,0,2014,0,98001,47.3162,-122.272,1860,16510,495000
+2838000130,2/13/2015,3,2.5,2230,4850,2,0,0,3,8,2230,0,2014,0,98133,47.7295,-122.334,2230,4513,722000
+8562770430,7/2/2014,3,2.5,2280,2502,2,0,0,3,8,1880,400,2006,0,98027,47.5364,-122.073,2280,2812,567500
+1402970020,12/17/2014,4,2.5,2798,5085,2,0,0,3,9,2798,0,2011,0,98092,47.3308,-122.187,2502,5707,440000
+3943600020,8/29/2014,4,2.5,2398,5988,2,0,0,3,8,2398,0,2008,0,98055,47.452,-122.204,2370,5988,400000
+1438000430,10/6/2014,4,2.5,2350,3760,2,0,0,3,8,2350,0,2014,0,98059,47.4786,-122.123,2590,4136,459995
+1601600167,5/7/2014,5,2.75,2410,5003,1,0,0,3,7,1410,1000,2008,0,98118,47.5298,-122.274,1590,5003,365000
+1773100541,4/17/2015,3,2.25,1580,920,3,0,0,3,8,1580,0,2015,0,98106,47.5578,-122.363,1250,1150,389950
+1773100924,7/8/2014,3,3.25,1450,1387,2,0,0,3,8,1180,270,2013,0,98106,47.5556,-122.362,1450,1198,320000
+982850080,6/13/2014,4,2.5,1750,4779,2,0,0,3,7,1750,0,2009,0,98028,47.7608,-122.232,1580,4687,415500
+7628700050,3/9/2015,3,2.5,3020,4120,2,0,0,3,9,2360,660,2008,0,98126,47.5714,-122.373,2280,4120,775000
+8673400020,3/11/2015,3,3,1740,1100,3,0,0,3,8,1740,0,2007,0,98107,47.67,-122.391,1370,1180,590000
+8725950170,1/23/2015,2,2.25,2200,2043,2,0,0,3,9,1760,440,2007,0,98004,47.6213,-122.2,2020,1957,950000
+6306800080,8/6/2014,4,2.5,1867,15314,2,0,0,3,9,1867,0,2013,0,98030,47.3524,-122.198,2616,8048,378950
+3362401763,5/8/2014,2,1.5,1020,1060,3,0,0,3,8,1020,0,2008,0,98103,47.6801,-122.348,1340,1415,441750
+301401630,10/31/2014,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.345,-122.209,2475,4000,335900
+6056110780,6/27/2014,2,1.75,1110,1773,2,0,0,3,8,1110,0,2014,0,98108,47.5647,-122.293,1420,2855,229800
+6819100352,3/10/2015,3,2.5,1900,1258,2.5,0,0,3,7,1700,200,2007,0,98119,47.6465,-122.358,1780,1877,645000
+9297302031,4/23/2015,3,3.25,1560,1345,2,0,0,3,8,1260,300,2009,0,98126,47.5637,-122.375,1560,4800,448000
+7203150080,12/16/2014,4,2.5,2510,5436,2,0,0,3,8,2510,0,2011,0,98053,47.6894,-122.016,2520,5436,706000
+2937300050,2/27/2015,4,4.75,4150,6303,3,0,0,3,9,4150,0,2014,0,98052,47.7047,-122.123,3570,6285,988990
+9521100029,7/16/2014,3,3,1660,1849,3,0,0,3,9,1660,0,2013,0,98103,47.6649,-122.353,1660,3300,716000
+832700170,4/21/2015,2,1.5,1090,847,3,0,0,3,8,1090,0,2009,0,98133,47.7235,-122.352,1090,1118,319000
+6817750440,10/14/2014,4,2.5,1914,3272,2,0,0,3,8,1914,0,2009,0,98055,47.4297,-122.189,1714,3250,300000
+123059127,5/2/2014,4,3.25,2730,54014,1,0,0,3,9,1560,1170,2007,0,98059,47.5133,-122.11,2730,111274,625000
+3630200430,5/14/2014,3,2.75,2470,3600,2,0,0,3,9,2470,0,2007,0,98029,47.5406,-121.994,2570,3600,773000
+3448740430,9/25/2014,5,2.5,2340,5670,2,0,0,3,7,2340,0,2009,0,98059,47.4913,-122.152,2190,4869,392000
+1438000190,9/11/2014,4,3.5,2660,5690,2,0,0,3,8,1920,740,2014,0,98059,47.4775,-122.122,2970,5690,549995
+7853320250,9/20/2014,3,2.5,2410,4656,2,0,0,3,7,2410,0,2009,0,98065,47.5203,-121.874,2410,4840,480000
+100300280,10/20/2014,3,2.25,1430,4777,2,0,0,3,7,1430,0,2010,0,98059,47.4867,-122.152,1639,3854,355000
+8862500280,12/30/2014,2,2.5,1570,1268,3,0,0,3,7,1570,0,2007,0,98106,47.534,-122.365,1570,1300,208400
+1042700080,8/22/2014,5,2.75,3010,4919,2,0,0,3,9,3010,0,2014,0,98074,47.6067,-122.052,3230,5415,831548
+4051150080,11/17/2014,4,2.5,1613,4338,2,0,0,3,7,1613,0,2009,0,98042,47.3859,-122.162,1427,4341,279500
+5592200010,2/27/2015,3,2.5,2380,5269,2,0,0,3,8,2380,0,2008,0,98056,47.5066,-122.192,2150,7600,445000
+7787920080,6/16/2014,5,2.5,2570,9962,2,0,0,3,8,2570,0,2006,0,98019,47.7275,-121.957,2890,9075,492500
+3448740190,7/9/2014,4,2.5,2550,5200,2,0,0,3,7,2550,0,2009,0,98059,47.4919,-122.153,2550,4660,435000
+8822900122,5/12/2015,3,2.25,1330,969,3,0,0,3,7,1330,0,2007,0,98125,47.7177,-122.292,1310,1941,325000
+4083300098,11/17/2014,2,1.5,1160,1269,2,0,0,3,7,970,190,2005,0,98103,47.6608,-122.335,1700,3150,453000
+1438000170,8/22/2014,5,3.5,3240,6919,2,0,0,3,8,2760,480,2014,0,98059,47.4779,-122.122,2970,5690,612995
+7853360480,9/4/2014,4,2.5,2710,9248,2,0,0,3,7,2710,0,2011,0,98065,47.5164,-121.875,2710,5000,540000
+522059130,4/29/2015,3,1,1150,18200,1,0,0,5,7,1150,0,1959,0,98058,47.4262,-122.187,1714,18200,465000
+4385700185,8/12/2014,3,2.25,1860,1386,3,0,0,3,9,1860,0,2014,0,98112,47.6368,-122.279,1680,3080,799950
+2768301476,11/24/2014,3,2.25,1280,1517,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,495000
+1862400541,2/28/2015,3,2.5,1810,1585,3,0,0,3,7,1810,0,2014,0,98117,47.6957,-122.376,1560,1586,579950
+8562780280,2/20/2015,2,2.25,1240,720,2,0,0,3,7,1150,90,2008,0,98027,47.5322,-122.072,1260,810,331000
+9528101061,8/25/2014,4,3.5,1460,951,3,0,0,3,8,1460,0,2008,0,98115,47.6821,-122.326,1430,1282,580000
+6056110460,4/14/2015,2,2.5,1640,1953,2,0,0,3,10,1640,0,2014,0,98118,47.5639,-122.292,1820,2653,669000
+2154970020,7/3/2014,4,4.25,5010,19412,2,0,1,3,11,4000,1010,2014,0,98040,47.5455,-122.211,3820,17064,2350000
+5694500497,1/16/2015,3,3.25,1300,1325,2,0,0,3,8,1080,220,2005,0,98103,47.6584,-122.346,1290,1323,539900
+7708200670,7/23/2014,4,2.5,2510,4349,2,0,0,3,8,2510,0,2010,0,98059,47.4927,-122.147,2510,4314,490000
+8562770050,5/27/2014,3,3.5,2710,3475,2,0,0,3,8,1650,1060,2005,0,98027,47.5359,-122.072,2440,2867,627000
+1441000470,7/28/2014,4,3.5,3217,4000,2,0,0,3,8,2587,630,2008,0,98055,47.4483,-122.203,2996,5418,458000
+6056100293,11/10/2014,3,2.5,1650,4929,2,0,0,3,7,1520,130,2007,0,98108,47.5634,-122.298,1520,2287,440000
+6600000050,3/10/2015,4,3.5,3950,6240,2,0,0,3,11,3950,0,2015,0,98112,47.6221,-122.29,2040,6240,1700000
+1732800199,5/11/2015,2,2.5,1680,977,3,0,0,3,9,1680,0,2009,0,98119,47.632,-122.361,1680,977,935000
+7853360470,4/17/2015,5,3.5,3420,6403,2,0,2,3,8,2700,720,2013,0,98065,47.5162,-121.874,2710,6038,641000
+3438501583,9/11/2014,3,2.75,2300,5090,2,0,0,3,8,1700,600,2007,0,98106,47.545,-122.36,1530,9100,452000
+7853370250,12/23/2014,4,2.75,3010,6854,2,0,2,3,9,2570,440,2012,0,98065,47.5171,-121.876,1830,2952,625000
+2387600010,3/3/2015,4,3.5,4680,12495,2,0,0,3,10,3040,1640,2008,0,98033,47.6984,-122.206,3240,10749,1350000
+8946780080,9/8/2014,5,3.5,3630,4911,2,0,0,3,9,2790,840,2014,0,98034,47.718,-122.156,3600,4992,834950
+9402800005,10/28/2014,3,3.5,3530,3610,2,0,0,3,10,2370,1160,2008,0,98103,47.6857,-122.339,1780,3610,1500000
+5422950080,8/25/2014,4,2.5,2280,3800,2,0,0,3,7,2280,0,2006,0,98038,47.3586,-122.036,2630,4045,305000
+2826079027,11/12/2014,3,2.5,3090,384634,2,0,0,3,8,3090,0,2007,0,98019,47.7072,-121.927,2200,292645,659000
+6003000851,5/22/2014,1,1,550,1279,2,0,0,3,7,550,0,2008,0,98122,47.616,-122.314,1460,1385,353000
+7394400080,3/4/2015,4,3.25,2840,4000,2,0,3,3,9,2330,510,2014,0,98108,47.5529,-122.293,2160,4867,535000
+1238501184,7/8/2014,4,2.5,3130,10849,2,0,0,3,10,3130,0,2013,0,98033,47.6828,-122.186,2470,9131,999000
+263000009,1/29/2015,3,2.5,1440,1102,3,0,0,3,8,1440,0,2009,0,98103,47.6995,-122.346,1440,1434,375000
+5101408889,6/16/2014,4,3.5,2840,4637,3,0,0,3,8,2840,0,2008,0,98125,47.7033,-122.321,1730,5279,685000
+7299601410,8/8/2014,4,2.5,2623,7184,2,0,0,3,8,2623,0,2012,0,98092,47.259,-122.202,2010,4939,333000
+9266700190,5/11/2015,1,1,390,2000,1,0,0,4,6,390,0,1920,0,98103,47.6938,-122.347,1340,5100,245000
+2424059174,5/8/2015,4,3.25,5640,35006,2,0,2,3,11,4900,740,2015,0,98006,47.5491,-122.104,4920,35033,2000000
+8562780290,10/15/2014,2,2.25,1260,1032,2,0,0,3,7,1170,90,2008,0,98027,47.5323,-122.072,1240,809,329950
+5100400244,4/20/2015,2,1,894,1552,2,0,0,3,7,894,0,2011,0,98115,47.6911,-122.313,1131,1992,403000
+3744000130,11/11/2014,4,2.5,3370,4934,2,0,0,3,9,3370,0,2014,0,98038,47.3562,-122.022,2980,5046,559630
+993001976,8/18/2014,3,2.25,1250,871,3,0,0,3,8,1250,0,2007,0,98103,47.6907,-122.343,1250,1158,344000
+525049174,4/2/2015,3,1.5,1180,1231,3,0,0,3,7,1180,0,2008,0,98115,47.6845,-122.315,1280,3360,435000
+5393600562,5/22/2014,2,2.5,1520,1588,2,0,0,3,8,1240,280,2007,0,98144,47.5825,-122.313,1660,6000,430000
+4187000190,11/17/2014,3,2.5,2000,4500,2,0,0,3,7,2000,0,2010,0,98059,47.4937,-122.149,2230,4501,417000
+2862500190,4/9/2015,5,2.75,3180,9255,2,0,0,3,9,3180,0,2014,0,98074,47.6232,-122.023,3180,7782,895950
+5045700470,3/19/2015,4,2.75,3050,4750,2,0,0,3,8,3050,0,2014,0,98059,47.4857,-122.153,2730,5480,563950
+2924079034,9/25/2014,3,1.5,2580,47480,1,0,0,3,7,1360,1220,1953,0,98024,47.5333,-121.933,1760,48181,332220
+8835770170,8/22/2014,5,6,6880,279968,2,0,3,3,12,4070,2810,2007,0,98045,47.4624,-121.779,4690,256803,1490000
+3630200480,6/12/2014,3,2.5,2570,3600,2.5,0,0,3,9,2570,0,2007,0,98027,47.5412,-121.994,2570,3600,680000
+8562790080,2/9/2015,4,3.5,2950,3737,2,0,0,3,10,2270,680,2012,0,98027,47.5313,-122.074,2580,3581,825750
+8165500780,12/9/2014,3,2.5,1690,1760,2,0,0,3,8,1410,280,2014,0,98106,47.5387,-122.367,1740,1760,338000
+1442870050,7/18/2014,4,2.75,2790,6969,2,0,0,3,8,2790,0,2012,0,98045,47.4836,-121.769,2620,6307,535365
+1704900303,12/11/2014,3,2.25,1720,5234,2,0,0,3,9,1240,480,2011,0,98118,47.5547,-122.278,1720,5825,608000
+6132600655,10/16/2014,3,2.25,2890,5000,3,0,0,3,9,2890,0,2014,0,98117,47.6983,-122.389,2020,5000,930000
+3421069049,10/21/2014,2,1.75,1130,276170,1,0,0,3,8,1130,0,2006,0,98022,47.2673,-122.027,2092,217800,565000
+7169500130,12/19/2014,2,2.25,1460,1623,2,0,0,3,8,1260,200,2005,0,98115,47.6764,-122.301,1460,1137,495000
+8732900840,7/22/2014,3,2.5,2510,3819,2,0,0,3,8,2510,0,2007,0,98052,47.6987,-122.096,2520,3990,667000
+5379803372,11/12/2014,4,2.5,3390,7870,2,0,0,3,8,3390,0,2014,0,98188,47.4536,-122.274,1960,10069,495000
+2937300430,9/29/2014,4,2.5,3570,6054,2,0,0,3,9,3570,0,2014,0,98052,47.7053,-122.126,3600,6050,928990
+5422950020,6/30/2014,4,2.5,2280,5000,2,0,0,3,7,2280,0,2006,0,98038,47.3593,-122.037,2910,5000,345000
+3797001702,12/16/2014,5,3.5,2920,3000,2,0,0,3,9,2260,660,2014,0,98103,47.6846,-122.349,1580,4000,1070000
+1438000130,7/3/2014,4,3,2590,6160,2,0,0,3,8,2590,0,2014,0,98059,47.4784,-122.122,2670,5600,519995
+1853080130,11/5/2014,5,2.75,3210,8001,2,0,0,3,9,3210,0,2014,0,98074,47.5935,-122.061,3190,6624,924000
+741500010,4/24/2015,3,2,1230,3405,1,0,0,3,7,1230,0,2010,0,98058,47.438,-122.179,1440,4066,295000
+3123089027,7/21/2014,3,2.5,3800,104979,2,0,0,3,8,3210,590,2005,0,98045,47.4304,-121.841,2040,109771,472000
+3630080190,8/1/2014,3,2.5,1500,2314,2,0,0,3,7,1500,0,2005,0,98029,47.5537,-121.998,1440,2170,405000
+3782760080,7/18/2014,4,2.25,2510,4090,2,0,0,3,8,1840,670,2012,0,98019,47.7345,-121.967,2070,4090,410000
+8024200684,11/25/2014,3,1.5,1400,1091,3,0,0,3,8,1400,0,2007,0,98115,47.6989,-122.317,1270,1413,419500
+982850020,9/3/2014,3,2.25,1450,4667,2,0,0,3,7,1450,0,2009,0,98028,47.7611,-122.233,1490,4667,382000
+5649600462,2/24/2015,2,2.5,1390,1821,2,0,0,3,7,1180,210,2007,0,98118,47.5537,-122.282,1350,1821,370000
+3449820430,10/6/2014,3,2.75,3160,9072,2,0,0,3,9,3160,0,2005,0,98056,47.5147,-122.177,3160,9072,553000
+9533100285,6/30/2014,4,3.75,4350,7965,2,0,0,3,10,4350,0,2013,0,98004,47.6289,-122.205,2190,8557,2070000
+923059259,4/1/2015,4,2.5,2720,5771,2,0,0,3,8,2720,0,2015,0,98056,47.4917,-122.17,1940,4184,455950
+6431000748,10/27/2014,3,3.25,1290,1153,3,0,0,3,7,1290,0,2008,0,98103,47.6904,-122.346,1290,1200,331000
+3753000010,5/7/2014,3,2.25,1606,1452,3,0,0,3,8,1606,0,2009,0,98125,47.7175,-122.284,1516,1939,417250
+6169901185,5/20/2014,5,3.5,4460,2975,3,0,2,3,10,3280,1180,2015,0,98119,47.6313,-122.37,2490,4231,490000
+2309710150,8/4/2014,4,3.25,2800,5291,2,0,0,3,7,2800,0,2011,0,98022,47.1937,-121.977,2380,5291,325000
+1773600264,2/23/2015,5,3.5,3250,4800,2,0,0,3,9,2410,840,2010,0,98106,47.5618,-122.362,1330,4920,705000
+6061500100,7/17/2014,6,3.5,4310,7760,2,0,0,3,10,3260,1050,2013,0,98059,47.5297,-122.155,4620,10217,1170000
+1282300995,2/22/2015,3,2.25,1310,915,2,0,0,3,7,1060,250,2007,0,98144,47.5738,-122.293,1500,1215,365000
+597000593,11/17/2014,2,1.5,1240,1101,2,0,0,3,8,1080,160,2009,0,98144,47.5758,-122.309,1530,1209,403000
+7853321110,8/13/2014,3,2.5,1950,7263,2,0,0,3,7,1950,0,2007,0,98065,47.5194,-121.869,2190,5900,409000
+3278612450,4/7/2015,3,2.5,1800,1120,2,0,0,3,8,1800,0,2011,0,98126,47.5436,-122.369,1800,2380,391000
+1438000120,6/16/2014,4,2.5,2650,5600,2,0,0,3,8,2650,0,2014,0,98059,47.4786,-122.122,2650,5600,542525
+9521100301,5/7/2014,2,1,820,681,3,0,0,3,8,820,0,2006,0,98103,47.6619,-122.352,820,1156,339950
+1442870040,8/19/2014,4,2.75,2620,7001,2,0,0,3,8,2620,0,2012,0,98045,47.4838,-121.769,2620,6543,499990
+644000115,9/23/2014,4,3.25,3980,10249,2,0,0,3,10,3980,0,2011,0,98004,47.5873,-122.196,2450,10912,1770000
+6372000297,3/23/2015,3,3.5,1660,2298,2,0,0,3,8,1260,400,2009,0,98116,47.5809,-122.403,1500,2198,608000
+6600060150,3/12/2015,4,2.5,2130,4028,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.363,1830,7817,392000
+774101755,4/17/2015,3,1.75,1790,66250,1.5,0,0,3,7,1790,0,2003,0,98014,47.7179,-121.403,1440,59346,320000
+2895800750,4/17/2015,3,1.75,1410,1988,2,0,0,3,8,1410,0,2014,0,98106,47.5171,-122.347,1410,1899,274800
+2424039029,4/27/2015,3,2.25,1330,1198,2,0,0,3,8,1080,250,2007,0,98106,47.555,-122.362,1260,1062,325000
+3448740360,4/29/2015,4,2.5,2190,4866,2,0,0,3,7,2190,0,2009,0,98059,47.4907,-122.152,2190,5670,418500
+3832050580,5/2/2014,3,2.5,2540,5050,2,0,0,3,7,2540,0,2006,0,98042,47.3358,-122.055,2280,5050,300000
+3094000210,1/5/2015,3,2.5,2244,4079,2,0,0,3,7,2244,0,2012,0,98001,47.2606,-122.254,2077,4078,269950
+321030150,5/6/2015,3,2.5,2026,7611,2,0,0,3,8,2026,0,2010,0,98042,47.3733,-122.162,2270,7611,358000
+7694200090,5/4/2015,3,2.5,1730,4086,2,0,0,3,8,1730,0,2013,0,98146,47.5016,-122.341,2030,4086,350000
+3299710110,5/28/2014,4,3.5,3910,8095,2,0,0,3,9,3130,780,2007,0,98029,47.5588,-122.036,3770,7021,782000
+3879900754,9/15/2014,3,2.5,1580,1487,3,0,1,3,9,1580,0,2009,0,98119,47.6276,-122.359,1610,1297,779000
+8732900300,12/17/2014,4,2.5,2510,3479,2,0,0,3,8,2510,0,2007,0,98052,47.6981,-122.099,2540,4171,685000
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+3333000745,4/17/2015,4,2.5,1660,2500,2,0,0,3,7,1660,0,2007,0,98118,47.5437,-122.283,1030,5000,350000
+3630220220,9/23/2014,4,3.5,3060,4573,2,0,0,3,9,2410,650,2012,0,98029,47.5522,-122.001,3170,3634,775000
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+1498301168,5/28/2014,2,2.5,1050,1609,2,0,0,3,7,1050,0,2005,0,98144,47.5854,-122.313,1120,1693,325000
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+3343901408,1/28/2015,4,2.5,2590,6474,2,0,0,3,8,2590,0,2014,0,98056,47.5164,-122.19,1960,8679,569888
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+7852120180,3/4/2015,4,3.5,3510,9084,2,0,0,3,10,3510,0,2001,0,98065,47.5402,-121.875,3690,9568,695000
+9268850180,7/18/2014,3,1.75,1290,1237,2,0,0,3,7,1060,230,2008,0,98027,47.54,-122.026,1370,942,288790
+6031400092,2/13/2015,5,3,2230,8642,1,0,0,3,7,1330,900,2014,0,98168,47.487,-122.32,2100,11056,334950
+1853080790,12/15/2014,4,2.75,3140,7928,2,0,0,3,9,3140,0,2013,0,98074,47.5923,-122.058,3500,7055,869950
+1624049291,10/8/2014,3,3.5,3350,5025,2,0,2,3,8,2670,680,2014,0,98144,47.5699,-122.296,2030,5117,557500
+7237450100,9/19/2014,4,2.5,2245,4330,2,0,0,3,8,2245,0,2014,0,98038,47.3557,-122.063,2530,4478,389990
+9521100214,6/4/2014,3,1.75,1420,1189,3,0,0,3,8,1420,0,2006,0,98103,47.6625,-122.352,1380,1196,455000
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+2254501095,11/13/2014,2,2.25,1630,1686,2,0,0,3,10,1330,300,2014,0,98122,47.6113,-122.314,1570,2580,729999
+9478550110,3/3/2015,3,2.5,1740,4497,2,0,0,3,7,1740,0,2012,0,98042,47.3697,-122.117,1950,4486,299950
+993001961,7/9/2014,3,2.25,1390,1484,3,0,0,3,8,1390,0,2007,0,98103,47.6912,-122.343,1250,1087,374950
+9274200028,2/19/2015,3,2.5,1070,1089,2,0,0,3,7,900,170,2009,0,98116,47.5902,-122.387,1450,1437,386950
+7708200180,7/10/2014,5,3.25,2850,4551,2,0,0,3,8,2370,480,2006,0,98059,47.4916,-122.144,2850,4849,535000
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+8924100308,2/3/2015,4,2.5,3260,5974,2,0,1,3,9,2820,440,2007,0,98115,47.6772,-122.267,2260,6780,1050000
+1070000180,10/15/2014,4,3.5,3660,4760,2,0,0,3,9,2840,820,2014,0,98199,47.6482,-122.409,3210,4640,1110000
+1085623630,10/3/2014,4,2.5,2708,4772,2,0,0,3,9,2708,0,2014,0,98092,47.3413,-122.178,2502,4900,436952
+3278605550,6/9/2014,3,2.5,1800,2700,2,0,0,3,8,1800,0,2011,0,98126,47.5458,-122.369,1580,2036,365000
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+2725079018,5/9/2014,4,3.25,3540,159430,2,0,0,3,9,3540,0,2007,0,98014,47.6285,-121.899,1940,392040,800000
+7104100110,5/11/2015,4,3.5,2490,5500,2,0,0,3,9,1780,710,2015,0,98136,47.5499,-122.393,1710,5500,899000
+259500230,12/18/2014,3,2.5,2670,4534,2,0,0,3,9,2670,0,2007,0,98056,47.51,-122.184,3040,5079,465750
+9523100712,6/18/2014,2,2.5,1430,923,3,0,0,3,8,1410,20,2008,0,98103,47.6683,-122.355,1620,1505,485000
+1438000360,6/3/2014,5,2.75,2670,3800,2,0,0,3,8,2670,0,2014,0,98059,47.4783,-122.123,2670,3800,494995
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+2461900448,6/16/2014,3,2,1980,2674,3,0,0,3,8,1980,0,2007,0,98136,47.5524,-122.382,1440,2674,435000
+1703400910,8/11/2014,3,2.5,2010,3300,2,0,0,3,9,1610,400,2014,0,98118,47.5573,-122.287,1660,4950,639000
+8024200683,7/9/2014,3,1.5,1270,1413,3,0,0,3,8,1270,0,2007,0,98115,47.6989,-122.317,1270,1413,440000
+9544700730,5/15/2014,4,2.5,3950,10856,3,0,0,3,10,3950,0,2013,0,98075,47.5818,-121.996,3200,10856,914500
+8682320900,11/5/2014,3,2,1870,5300,1,0,0,3,8,1870,0,2009,0,98053,47.7106,-122.02,1870,5050,580000
+3278600750,4/7/2015,1,1.5,1180,1688,2,0,0,3,8,1070,110,2007,0,98126,47.549,-122.372,1380,2059,250000
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+3744000150,9/28/2014,4,2.75,2810,5046,2,0,0,3,9,2810,0,2014,0,98038,47.3559,-122.022,3060,4934,531155
+3630080120,9/19/2014,3,2.5,1400,1529,2,0,0,3,7,1400,0,2005,0,98029,47.5535,-121.997,1440,1536,358000
+7853360620,7/1/2014,3,2.5,1950,5689,2,0,0,3,7,1950,0,2009,0,98065,47.5158,-121.873,2190,5653,425000
+255550100,7/11/2014,3,2.25,1930,3462,2,0,0,3,7,1930,0,2004,0,98019,47.7453,-121.985,1930,2952,326000
+9268200484,5/13/2014,4,2.5,2210,4861,2,0,0,3,9,2210,0,2013,0,98117,47.6959,-122.364,1590,5080,650000
+8562790720,5/14/2015,4,3.5,2630,3757,2,0,0,3,10,2200,430,2008,0,98027,47.5322,-122.075,2620,2699,749950
+7140700690,3/12/2015,3,1.75,1600,4888,1,0,0,3,6,1600,0,2014,0,98042,47.383,-122.097,2520,5700,239950
+3624039183,6/9/2014,3,2.5,1480,1590,2,0,0,3,8,1150,330,2010,0,98106,47.5302,-122.362,1480,5761,315000
+2254502071,5/23/2014,2,2.5,750,1430,2,0,0,3,8,750,0,2006,0,98122,47.6093,-122.31,1320,2790,375000
+4310702838,4/27/2015,3,1.5,1290,1213,3,0,0,3,8,1290,0,2007,0,98103,47.6965,-122.34,1360,1227,375000
+6431000749,9/22/2014,3,3.25,1340,1151,3,0,0,3,7,1340,0,2008,0,98103,47.6904,-122.346,1290,1200,349000
+3362401761,2/25/2015,2,1.5,1020,1049,3,0,0,3,8,1020,0,2008,0,98103,47.68,-122.348,1350,1395,450000
+3629700120,10/14/2014,3,3,2330,1944,2.5,0,0,3,8,1950,380,2014,0,98027,47.5446,-122.016,2290,1407,669950
+3226049565,7/11/2014,5,3,2360,5000,1,0,0,3,7,1390,970,2008,0,98103,47.6931,-122.33,2180,5009,504600
+567000408,6/2/2014,3,2.5,1495,936,3,0,0,3,8,1405,90,2006,0,98144,47.593,-122.295,1495,1186,400000
+825059349,7/1/2014,4,3.5,3770,8501,2,0,0,3,10,3770,0,2008,0,98033,47.6744,-122.196,1520,9660,1020000
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+6431000987,9/2/2014,3,2.25,1630,1598,3,0,0,3,8,1630,0,2008,0,98103,47.6904,-122.347,1320,1605,385000
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+3224059107,5/8/2015,4,3,3150,6599,2,0,0,3,9,3150,0,2008,0,98056,47.5279,-122.199,2680,9430,649500
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+7625702263,6/12/2014,3,3.5,1240,1666,2,0,0,3,7,1000,240,2008,0,98136,47.5496,-122.388,1110,1027,402000
+8085400586,11/1/2014,4,2.75,3560,8975,2,0,0,3,10,3560,0,2014,0,98004,47.6322,-122.209,3440,12825,1750000
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+6181500120,6/23/2014,5,3,2300,8214,2,0,0,3,8,2300,0,2013,0,98001,47.3052,-122.276,2594,4950,312891
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+4216500110,5/15/2014,5,2.75,3030,10335,2,0,0,3,9,3030,0,2013,0,98056,47.5305,-122.184,2720,11213,819995
+2776600082,11/13/2014,3,3.5,1522,1465,2,0,0,3,8,1248,274,2006,0,98117,47.6922,-122.375,1522,1341,407500
+323079058,1/5/2015,4,3.75,3890,22000,2,0,0,3,10,3890,0,2007,0,98027,47.5052,-121.906,1610,23142,850000
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+1853080150,8/11/2014,5,2.75,3170,8093,2,0,0,3,9,3170,0,2014,0,98075,47.5933,-122.06,3210,7062,890776
+6021503707,1/20/2015,2,2.5,980,1010,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,352500
+9512200090,5/1/2015,3,1.75,2340,7724,1,0,0,3,10,2340,0,2010,0,98058,47.4593,-122.134,3040,5787,529000
+9268850040,3/27/2015,3,2.25,1620,1425,3,0,0,3,8,1540,80,2009,0,98027,47.5405,-122.026,1620,1237,484000
+7283900306,4/17/2015,3,2.5,1910,4408,3,0,0,3,8,1910,0,2007,0,98133,47.7634,-122.35,1910,8154,400000
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+7787920180,5/4/2015,5,2.5,3220,10572,2,0,0,3,8,3220,0,2006,0,98019,47.7268,-121.957,2890,9090,534950
+1283800110,5/6/2014,4,2.5,3040,6425,2,0,0,3,8,3040,0,2008,0,98052,47.6788,-122.117,3040,7800,776000
+6140100028,5/1/2015,3,1.75,1496,1423,2,0,0,3,8,1248,248,2006,0,98133,47.715,-122.355,1460,1423,370000
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+6891100090,10/14/2014,5,3.5,4200,5400,2,0,0,3,9,3140,1060,2012,0,98052,47.7077,-122.12,3300,5564,850000
+3438503021,11/5/2014,3,2.5,2430,7049,2,0,0,3,8,2430,0,2007,0,98106,47.5399,-122.352,1770,7049,443000
+4233600150,2/3/2015,5,4.25,4010,8252,2,0,0,3,10,4010,0,2015,0,98075,47.5974,-122.013,3370,8252,1150000
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+9268851020,4/10/2015,4,3.5,2340,2810,2,0,2,3,8,1730,610,2011,0,98027,47.5403,-122.028,2600,2843,735000
+8682291050,7/8/2014,2,2.75,2700,8572,1,0,0,3,9,2700,0,2007,0,98053,47.7236,-122.033,2680,8569,810000
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+7625702277,3/31/2015,2,2,1110,1095,3,0,0,3,7,980,130,2008,0,98136,47.5494,-122.388,1110,1083,406000
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+3262300818,2/27/2015,4,3.75,3790,8797,2,0,0,3,11,3290,500,2006,0,98039,47.6351,-122.236,2660,12150,1870000
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+7904700134,6/26/2014,3,3.25,1370,913,2,0,0,3,8,1100,270,2006,0,98116,47.5636,-122.388,1370,915,390000
+9521100867,7/11/2014,3,3.25,1380,1121,3,0,0,3,8,1380,0,2008,0,98103,47.6617,-122.349,1310,1405,475000
+1702901618,4/7/2015,1,2,1070,675,2,0,0,3,8,880,190,2007,0,98118,47.5574,-122.284,1220,788,420000
+7237550100,8/25/2014,4,4,4920,50621,2,0,0,3,10,4280,640,2012,0,98053,47.6575,-122.006,4920,74052,1410000
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\ No newline at end of file
diff --git a/data/regression_data_draft.csv b/data/regression_data_draft.csv
new file mode 100644
index 0000000..1ec6d03
--- /dev/null
+++ b/data/regression_data_draft.csv
@@ -0,0 +1,21597 @@
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+8825900410,2/18/15,4,2.5,2910,4680,1.5,0,0,5,9,1850,1060,1937,0,98115,47.6745,-122.31,1960,4120,945000
+984210120,6/20/14,5,2.25,2290,7420,1,0,0,3,7,1290,1000,1973,0,98058,47.4375,-122.166,1660,7526,359900
+8044050040,8/7/14,4,2.5,2260,5164,2,0,0,3,8,2260,0,1996,0,98056,47.509,-122.166,2260,5866,419950
+2771604370,9/26/14,3,1.75,1300,4000,1,0,0,3,7,900,400,1953,0,98199,47.6368,-122.388,1750,4000,460000
+5028602020,3/5/15,3,2.25,1850,7151,2,0,0,3,7,1850,0,1989,0,98023,47.2843,-122.352,1710,6827,255000
+643300040,11/4/14,4,1.75,1920,9500,1,0,0,4,7,1470,450,1966,0,98006,47.5683,-122.177,1820,10091,481000
+643300040,3/13/15,4,1.75,1920,9500,1,0,0,4,7,1470,450,1966,0,98006,47.5683,-122.177,1820,10091,719521
+224059025,6/20/14,3,3,4910,43560,2,0,0,4,10,4000,910,1989,0,98007,47.5911,-122.131,3540,12288,1080000
+3379200100,5/23/14,4,2.5,2210,6080,1,0,2,4,8,1410,800,1965,0,98178,47.4915,-122.228,2210,6175,334000
+6338000493,9/12/14,4,2.75,2280,3200,1.5,0,0,5,8,1520,760,1931,0,98105,47.6709,-122.282,1970,4687,675000
+293000068,6/13/14,3,1.75,1640,7437,1,0,0,3,7,1090,550,1948,0,98126,47.5324,-122.38,1640,7436,556000
+6169901095,8/15/14,4,2,1980,7200,2,0,3,3,8,1700,280,1910,0,98119,47.6318,-122.369,2490,4200,900000
+4443800375,10/2/14,3,1,900,4084,1.5,0,0,3,7,900,0,1910,0,98117,47.684,-122.393,1280,4080,400000
+9376301800,3/24/15,4,1.75,1960,4340,1,0,0,5,8,980,980,1912,0,98117,47.6847,-122.37,1630,4360,724950
+6799300150,9/3/14,4,2.25,1800,4500,2,0,0,4,8,1800,0,2004,0,98031,47.394,-122.183,2010,5050,321000
+3271800910,7/1/14,4,3.5,4270,5800,2,0,3,5,10,3170,1100,1937,0,98199,47.6474,-122.411,3100,5800,1360000
+42000245,6/13/14,4,2,1520,19672,1,0,0,3,6,1020,500,1920,0,98188,47.4683,-122.281,1810,7840,171000
+1625069101,7/7/14,4,3,5430,108900,2,0,0,4,10,5430,0,1987,0,98053,47.6582,-122.038,3170,107076,1360000
+4046700110,2/24/15,3,1.75,1950,15037,1,0,0,3,7,1950,0,1989,0,98014,47.6892,-121.913,1760,15181,323000
+2423600100,5/2/14,4,1.75,2190,125452,1,0,2,3,9,2190,0,1968,0,98092,47.2703,-122.069,3000,125017,491500
+621069154,7/21/14,4,1.5,1200,10890,1,0,0,5,7,1200,0,1972,0,98042,47.3423,-122.088,1250,10139,226000
+2436200025,10/9/14,6,1.75,2180,4000,1.5,0,0,4,7,1380,800,1926,0,98105,47.6643,-122.29,1720,4000,580000
+9808610410,8/22/14,4,2.5,2320,11259,2,0,0,3,9,2320,0,1982,0,98004,47.6443,-122.194,2820,11770,640000
+1370803640,8/20/14,3,1.75,1040,5097,1,0,0,4,7,800,240,1944,0,98199,47.6385,-122.401,1630,5097,619790
+3779300210,6/30/14,4,2.5,2700,6998,2,0,0,3,8,2700,0,2001,0,98188,47.4694,-122.263,2350,10550,383962
+424049059,8/15/14,3,2,1400,2445,1,0,0,3,7,840,560,2002,0,98144,47.5926,-122.299,1400,3200,373000
+5422560850,12/10/14,3,2.5,2060,8123,2,0,0,3,8,1010,1050,1977,0,98052,47.6642,-122.13,1760,6170,541338
+558100065,10/3/14,2,1,780,8160,1,0,0,4,6,780,0,1953,0,98133,47.7356,-122.34,1310,8160,254922
+4442800040,6/24/14,3,2.25,2400,5000,1.5,0,0,4,7,1440,960,1926,0,98117,47.6897,-122.393,1630,5000,575000
+4038600300,9/2/14,4,3,2900,15535,1,0,2,4,7,1870,1030,1961,0,98008,47.612,-122.119,2330,10217,650000
+5070000120,8/13/14,3,1.5,1740,9547,1,0,0,4,7,1740,0,1962,0,98055,47.4475,-122.213,1780,9936,269950
+795002450,4/30/15,2,1,780,6250,1,0,0,3,6,780,0,1942,0,98168,47.5099,-122.33,1280,7100,270950
+3579000180,12/29/14,3,2.75,2430,14861,1,0,0,3,9,1530,900,1988,0,98028,47.7461,-122.247,2230,10300,495000
+6821102170,5/7/14,4,2,2210,8556,1,0,1,4,8,1210,1000,1954,0,98199,47.6498,-122.396,2190,7975,794154
+5151900110,12/19/14,3,1.5,1510,11200,1,0,0,4,8,1510,0,1960,0,98003,47.3347,-122.325,2110,12070,340768
+5101407790,8/1/14,2,1,900,5413,1,0,0,3,7,900,0,1947,0,98125,47.7047,-122.307,1280,6380,375000
+2538400040,5/24/14,4,2.5,3670,7000,2,0,0,3,10,3670,0,2005,0,98075,47.5854,-122.08,3680,7437,820000
+1025049266,9/30/14,2,2.25,1160,954,2,0,0,3,8,960,200,2014,0,98105,47.6647,-122.284,1160,1327,555000
+4340610040,6/12/14,2,1.5,1070,1200,2,0,0,3,7,1070,0,1999,0,98103,47.697,-122.347,1070,1200,312500
+3204300610,12/2/14,2,1,950,4560,1.5,0,0,3,7,950,0,1925,0,98112,47.6288,-122.3,2040,4560,450000
+6793300220,1/5/15,3,2.75,2950,6667,2,0,0,3,9,2950,0,2003,0,98029,47.5577,-122.026,3340,6667,739000
+1568100087,4/13/15,3,2,1420,1716,2,0,0,3,7,1050,370,2003,0,98155,47.7364,-122.295,1420,8150,320000
+4338800600,6/9/14,3,1,1590,13000,1.5,0,0,3,6,1590,0,1944,0,98166,47.4789,-122.346,1460,8400,235000
+7211400535,3/23/15,4,1,1290,5000,1.5,0,0,3,7,1290,0,1957,0,98146,47.5128,-122.358,1440,2500,275500
+8682261140,6/18/14,2,2,1690,4500,1,0,0,3,8,1690,0,2004,0,98053,47.7133,-122.031,1640,4500,564000
+4435000145,5/1/15,4,1.75,1340,8700,1.5,0,0,3,6,1340,0,1958,0,98188,47.4514,-122.287,1240,8700,263000
+421059018,11/4/14,3,1.75,1397,18000,1,0,0,3,7,1397,0,1965,2014,98092,47.3388,-122.166,1950,31294,257000
+1321059013,3/19/15,4,2.5,3750,218506,2,0,0,3,10,3750,0,1991,0,98092,47.3045,-122.103,2540,39413,725000
+2143700406,12/11/14,3,2.25,2000,7560,1,0,0,3,7,1400,600,1979,0,98055,47.4798,-122.228,2040,6949,300000
+8961950410,7/7/14,3,2,2250,7904,1.5,0,0,3,8,2250,0,1998,0,98001,47.3165,-122.252,2460,8622,328000
+1788800770,7/28/14,3,1,840,8400,1,0,0,3,6,840,0,1959,0,98023,47.3281,-122.344,1030,8640,187500
+7518507685,2/23/15,3,1,1100,5100,2,0,0,4,7,1100,0,1900,0,98117,47.679,-122.386,1540,5100,400000
+2490200220,3/2/15,3,1.5,1660,5100,1,0,0,4,7,1210,450,1954,0,98136,47.5345,-122.383,1440,5100,515000
+284000025,4/20/15,2,2,2180,18525,1,1,4,5,9,1580,600,1952,0,98146,47.5036,-122.387,2480,21503,1410000
+522059189,4/17/15,3,1,1460,8400,1,0,0,3,7,1460,0,1958,0,98055,47.4243,-122.198,1460,9600,235000
+7203150330,7/17/14,4,2.5,2470,4945,2,0,0,3,8,2470,0,2012,0,98053,47.6898,-122.015,2510,4988,669000
+3124089060,4/24/15,3,1,1250,13503,1.5,0,0,4,6,1250,0,1931,0,98065,47.526,-121.829,1450,13503,282000
+7518504130,6/26/14,3,2,1480,3876,1,0,0,5,7,860,620,1928,0,98117,47.6808,-122.382,1660,3774,663000
+7893802670,4/24/15,3,3.25,2240,5000,2,0,0,3,9,1540,700,1989,0,98198,47.4114,-122.334,1800,7500,279900
+2548100180,5/7/14,3,2,1570,7200,1,0,0,4,7,1570,0,1952,0,98155,47.7501,-122.314,1410,7434,335000
+4024100915,12/31/14,4,2.75,3250,10000,2,0,0,3,9,3250,0,2014,0,98155,47.7557,-122.309,1620,10089,689000
+1026069106,4/21/15,3,2.25,1790,231303,1,0,0,3,7,1250,540,1980,0,98077,47.7558,-122.027,2090,93654,413100
+7852020720,3/27/15,3,2.5,2080,4931,2,0,0,3,8,2080,0,2000,0,98065,47.5342,-121.868,1890,4229,506950
+9828702265,5/6/14,3,2.5,1480,1171,3,0,0,3,8,1480,0,2006,0,98112,47.62,-122.3,1480,1231,500000
+5104511250,6/13/14,5,3,3610,9775,2,0,0,3,8,3610,0,2003,0,98038,47.3545,-122.011,2800,8582,540000
+9828201885,8/22/14,3,2.5,2040,4559,2,0,0,3,9,2040,0,1998,0,98122,47.6156,-122.295,1500,4500,812000
+7525950110,8/28/14,4,3.25,3850,19842,2,0,3,3,11,3180,670,1989,0,98074,47.6239,-122.065,4320,19500,1200000
+3211260120,12/15/14,3,2.25,3230,35306,2,0,0,3,9,3230,0,1987,0,98092,47.3065,-122.113,2760,35285,370000
+7250000065,8/25/14,3,2,2440,23512,1,0,0,3,6,1640,800,1933,0,98148,47.4594,-122.326,1630,19613,338000
+1446400564,5/7/14,4,1,1490,6600,1,0,0,3,7,1490,0,1969,0,98168,47.4835,-122.332,1280,6600,185000
+224059021,12/19/14,3,1,1150,35415,1,0,0,4,7,1010,140,1950,0,98008,47.5974,-122.129,2460,11781,450000
+6392000625,7/12/14,2,1,900,6000,1,0,0,3,7,900,0,1944,2004,98115,47.6855,-122.289,1460,4800,451000
+6817850110,4/21/15,4,2.5,3210,24527,1.5,0,0,3,11,3210,0,1984,0,98074,47.6399,-122.052,3280,24527,785000
+3902100175,7/28/14,5,3,3900,5250,1.5,0,1,5,8,2620,1280,1931,0,98116,47.5577,-122.389,1950,5700,850000
+7205400180,12/23/14,3,1,1240,18000,1,0,0,2,7,1240,0,1943,0,98198,47.3514,-122.315,1240,18000,235000
+7351200295,1/14/15,3,1.75,1760,6788,2,1,4,3,7,1760,0,1940,1960,98125,47.7336,-122.284,1630,7588,1150000
+291310260,5/16/14,3,2.25,1410,1377,2,0,0,3,7,1290,120,2005,0,98027,47.5342,-122.067,1445,1370,377500
+3026059204,5/30/14,3,2.5,2780,11964,2,0,0,3,9,2780,0,2009,0,98034,47.7127,-122.216,1760,9640,825500
+2856102105,6/10/14,5,3.25,3230,3825,2,0,0,3,9,2480,750,2014,0,98117,47.6785,-122.392,1480,5100,1060000
+3343301343,11/20/14,5,3.5,4600,8764,2,0,0,3,10,3180,1420,2007,0,98006,47.5491,-122.19,3210,9431,880000
+8682302030,5/21/14,3,2,1440,4421,1,0,0,3,8,1440,0,2007,0,98053,47.7188,-122.024,1440,4157,413800
+1048000160,6/27/14,2,1.5,1200,1687,3,0,0,3,8,1200,0,2008,0,98103,47.6491,-122.334,1240,1296,504200
+5714200140,4/22/15,4,3,2793,5703,2,0,0,3,9,2793,0,2009,0,98030,47.3682,-122.178,2793,5704,421500
+1152200030,3/5/15,4,2.5,2970,5050,2,0,0,3,8,2970,0,2014,0,98052,47.7043,-122.122,2810,4998,855169
+3157600075,2/7/15,3,2,1440,3218,1,0,0,3,7,850,590,2008,0,98106,47.5655,-122.36,1170,5000,380000
+1972200554,8/4/14,3,2.25,1480,1026,3,0,0,3,8,1480,0,2014,0,98103,47.6536,-122.354,1570,1283,580000
+9429400060,4/9/15,3,2.5,1870,5333,2,0,0,3,8,1870,0,2012,0,98019,47.7447,-121.984,2100,3730,377000
+301401610,9/30/14,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.3452,-122.209,2475,4000,329900
+1025039326,8/28/14,4,2.5,2950,7024,2,0,0,3,10,2950,0,2012,0,98199,47.6651,-122.403,2950,6339,921800
+9385200041,3/4/15,3,2.25,1410,905,3,0,0,3,9,1410,0,2014,0,98116,47.5818,-122.402,1510,1352,529500
+7237450550,6/3/14,4,2.5,2240,3712,2,0,0,3,8,2240,0,2014,0,98038,47.3551,-122.061,2530,4315,363990
+2862500060,1/15/15,5,2.75,3230,6500,2,0,0,3,9,3230,0,2014,0,98074,47.6237,-122.023,3180,7624,834950
+4046500270,8/19/14,3,2,2100,31550,1,0,0,3,8,2100,0,2010,0,98014,47.6907,-121.917,1860,18452,399000
+2161400060,11/14/14,3,2.25,1936,9495,1,0,0,3,8,1936,0,2013,0,98030,47.3714,-122.197,1410,12770,338900
+2781230070,3/11/15,3,2.5,3120,6000,2,0,0,3,9,3120,0,2007,0,98038,47.3473,-122.03,2670,6000,419950
+4019500160,4/13/15,4,2.5,2070,4270,2,0,0,3,8,2070,0,2010,0,98028,47.773,-122.265,2070,4610,493000
+6980500030,12/11/14,4,2.5,3700,4500,2,0,0,3,9,3700,0,2007,0,98028,47.7473,-122.23,3050,5047,650000
+1442880260,9/9/14,3,2.5,2130,5205,2,0,0,3,8,2130,0,2013,0,98045,47.4832,-121.774,2250,5462,456000
+9268851860,9/18/14,3,2.25,1620,997,2.5,0,0,3,8,1540,80,2010,0,98027,47.54,-122.026,1620,1068,425000
+832700320,2/9/15,3,2.5,1490,2478,3,0,0,3,8,1490,0,2009,0,98133,47.7236,-122.353,1270,1156,348000
+2937300550,10/29/14,5,4,4180,7232,2,0,0,3,9,4180,0,2014,0,98052,47.7049,-122.125,3570,6054,1040000
+2114700368,11/18/14,2,2.5,1400,1262,2,0,0,3,8,1160,240,2008,0,98106,47.5342,-122.349,1060,1524,299000
+2213000030,5/12/14,4,3.75,3490,9170,2,0,0,3,9,3490,0,2012,0,98004,47.5991,-122.2,1810,8470,1260000
+2626119062,11/12/14,3,1,1300,6098,1,0,0,3,7,1300,0,2013,0,98014,47.7074,-121.364,1300,6849,155000
+7338220160,2/25/15,4,2.5,2730,4962,2,0,0,3,8,2730,0,2006,0,98002,47.3363,-122.216,2150,3802,319500
+2781280310,12/22/14,3,2.5,1830,2517,2,0,0,3,8,1830,0,2005,0,98055,47.4496,-122.189,1610,2762,274000
+3448740070,6/16/14,5,2.5,2340,4500,2,0,0,3,7,2340,0,2009,0,98059,47.4911,-122.154,2190,4500,429000
+2895800710,12/2/14,3,1.75,1410,1899,2,0,0,3,8,1410,0,2014,0,98106,47.5171,-122.347,1410,1811,267800
+723049434,4/8/15,3,2.5,1930,8254,2,0,0,3,7,1930,0,2014,0,98146,47.4973,-122.346,1540,8849,369950
+2922059212,1/9/15,6,5,3028,18055,2,0,0,3,7,3028,0,2005,0,98030,47.3651,-122.197,1400,34575,480000
+1441000350,9/15/14,4,3.5,3180,4869,2,0,0,3,8,2390,790,2007,0,98055,47.4482,-122.206,2850,4500,440000
+8562790310,3/24/15,4,3.25,2950,4161,2,0,0,3,10,2210,740,2014,0,98027,47.5297,-122.073,2790,3693,839704
+2767604425,1/29/15,3,3.25,1430,1276,3,0,0,3,8,1430,0,2007,0,98107,47.6712,-122.38,1430,1243,535000
+306000565,8/25/14,2,1.5,1020,1275,3,0,0,3,8,1020,0,2008,0,98103,47.7003,-122.346,980,1415,290000
+6130500060,7/21/14,3,2.5,1650,1793,3,0,0,3,8,1650,0,2007,0,98133,47.7107,-122.332,1650,1863,370000
+3362400125,3/3/15,3,2,1060,651,3,0,0,3,7,1060,0,2007,0,98103,47.6828,-122.345,1440,1501,405000
+1442880510,5/30/14,4,2.75,2620,6019,2,0,0,3,8,2620,0,2013,0,98045,47.484,-121.771,2790,6716,499431
+9188200505,7/10/14,4,2.5,1830,3868,2,0,0,3,7,1830,0,2007,0,98118,47.5186,-122.276,2330,3868,275000
+1865400075,5/22/14,3,2.25,998,844,2,0,0,3,7,798,200,2007,0,98117,47.6983,-122.367,998,1110,320000
+7853320550,8/5/14,4,2.5,2070,4427,2,0,0,3,7,2070,0,2007,0,98065,47.5208,-121.869,2070,4556,425000
+9831200172,2/27/15,4,3.5,2860,2199,3,0,0,3,10,2860,0,2013,0,98102,47.6262,-122.323,1990,1378,1450000
+8141300030,2/10/15,3,2,1920,5688,1,0,3,3,9,1920,0,2007,0,98022,47.1952,-121.976,2384,4802,340000
+7899800863,10/1/14,3,2.5,1210,2046,2,0,0,3,9,920,290,2008,0,98106,47.5212,-122.357,1070,651,299900
+745530240,12/26/14,5,3.5,4890,12039,2,0,0,3,9,3590,1300,2014,0,98011,47.7338,-122.208,4590,10079,865950
+4055700784,8/15/14,4,2.5,3420,17038,2,0,0,3,9,3420,0,2007,0,98034,47.718,-122.241,2520,14190,720000
+1180000830,10/2/14,4,3.5,2870,3225,2,0,3,3,9,2070,800,2006,0,98178,47.5009,-122.225,1770,6450,460000
+291310270,11/19/14,3,2.5,1600,2042,2,0,0,3,8,1600,0,2005,0,98027,47.5341,-122.067,1445,1370,375000
+1934800162,5/11/15,2,1.5,960,1829,2,0,0,3,7,960,0,2005,0,98122,47.6032,-122.308,1470,1829,386180
+2309710070,1/14/15,3,2.75,1740,5639,1,0,3,3,7,1740,0,2010,0,98022,47.1942,-121.977,2380,5331,280000
+6181500340,8/8/14,4,2.5,2575,4725,2,0,0,3,8,2575,0,2011,0,98001,47.3058,-122.277,2575,5323,359000
+7853220390,5/2/14,5,3.25,3660,11995,2,0,2,3,10,3660,0,2006,0,98065,47.5337,-121.86,3320,11241,785000
+9834201375,2/6/15,3,2.25,1420,1230,2,0,0,3,8,940,480,2009,0,98144,47.5703,-122.288,1400,1230,425000
+5214510060,5/4/15,5,2.5,3070,7200,2,0,0,3,8,3070,0,2005,0,98059,47.4939,-122.137,2590,7200,575000
+3221079050,3/3/15,3,2.5,1920,144619,1,0,0,3,8,1920,0,2014,0,98022,47.2683,-121.946,2010,48787,465000
+1266200140,5/6/15,4,3.25,4160,10335,2,0,0,3,10,4160,0,2014,0,98004,47.6235,-122.192,1840,10333,1850000
+2523039346,2/18/15,4,3.25,3276,10801,2,0,0,3,9,3276,0,2008,0,98166,47.4585,-122.361,2010,11656,720000
+1624049293,5/6/14,5,3.75,2890,5000,1,0,0,3,7,1310,1580,2006,0,98108,47.5701,-122.296,1930,5117,390000
+1973700030,4/29/15,3,2.5,3430,10177,2,0,0,3,10,3430,0,2014,0,98034,47.7159,-122.251,3110,12339,2210000
+1070000390,7/2/14,4,3.5,3390,3979,2,0,0,3,9,2610,780,2014,0,98199,47.6482,-122.408,3350,4165,1050000
+2524059269,6/10/14,6,3.75,2930,14980,2,0,3,3,9,2930,0,2013,0,98006,47.5441,-122.117,3210,10787,915000
+1972200326,4/22/15,2,2.25,1300,1314,3,0,0,3,8,1300,0,2008,0,98103,47.6536,-122.356,1300,1312,562000
+3796000400,11/20/14,2,1.75,1250,1208,2,0,0,3,7,1040,210,2007,0,98144,47.6004,-122.299,1250,1656,349000
+321030070,8/14/14,4,2.5,2310,7800,2,0,0,3,8,2310,0,2011,0,98042,47.3737,-122.164,2310,7140,375000
+476000118,12/12/14,2,2.25,1360,1336,3,0,0,3,8,1360,0,2008,0,98107,47.6714,-122.392,1280,1295,479950
+2909310060,1/9/15,4,2.5,2020,5100,2,0,0,3,7,2020,0,2010,0,98023,47.2822,-122.357,2300,5685,319000
+832700240,10/3/14,3,1.5,1270,1067,3,0,0,3,8,1270,0,2009,0,98133,47.7236,-122.353,1090,1118,325000
+1442880570,8/21/14,4,2.75,2790,8092,2,0,0,3,8,2790,0,2013,0,98045,47.4834,-121.773,2790,6154,505657
+9542840060,3/5/15,4,2.5,2320,4142,2,0,0,3,7,2320,0,2010,0,98038,47.3662,-122.019,2150,4140,340000
+629650370,1/23/15,3,2.5,1750,6351,2,0,0,3,7,1750,0,2012,0,98001,47.2589,-122.256,1398,6092,250000
+7967000060,9/26/14,4,2.5,2030,4596,2,0,0,3,8,2030,0,2014,0,98001,47.3515,-122.275,2040,4705,349500
+3904100041,4/24/15,3,2.5,1270,865,2,0,0,3,7,1080,190,2008,0,98118,47.5351,-122.279,1630,7752,290750
+9268850860,5/5/15,5,3.25,2710,2356,2,0,0,3,8,2230,480,2013,0,98027,47.5394,-122.028,2160,2108,715000
+1454100127,8/11/14,4,2.75,2520,8433,2,0,0,3,8,2520,0,2014,0,98125,47.7214,-122.289,1890,7772,689950
+2856101290,9/24/14,2,2.5,1340,1263,3,0,0,3,8,1340,0,2008,0,98117,47.6788,-122.388,1510,1260,425000
+2767601872,1/19/15,2,3,1570,1281,3,0,0,3,8,1570,0,2014,0,98107,47.6741,-122.384,1570,2500,657000
+255370570,11/20/14,4,3.5,2690,5564,2,0,0,3,7,2690,0,2007,0,98038,47.3537,-122.018,2210,4046,359950
+301401370,7/31/14,4,2.75,2475,4276,2,0,0,3,7,2475,0,2014,0,98002,47.345,-122.21,2475,4000,319900
+1604601804,4/16/15,3,3.75,2260,2050,2,0,0,3,9,1170,1090,2010,0,98118,47.566,-122.29,2130,3082,532000
+6749700004,3/30/15,2,1,840,863,3,0,0,3,8,840,0,2008,0,98103,47.6974,-122.349,1110,1190,291000
+1806900499,7/21/14,3,3.25,1720,1330,2,0,0,3,8,1030,690,2004,0,98112,47.62,-122.309,1720,1520,675000
+7625703435,1/21/15,3,2.25,2940,6500,3,0,0,3,9,2940,0,2014,0,98136,47.5482,-122.388,1680,6500,885000
+7324900016,10/21/14,5,3.5,4170,9090,2,0,0,3,10,4170,0,2008,0,98004,47.5918,-122.196,1930,13635,1450000
+3575303430,10/16/14,6,4.25,4310,10000,2,0,0,3,8,2950,1360,2008,0,98074,47.6214,-122.062,2100,10000,780000
+9492500140,7/12/14,4,2.75,3010,7200,2,0,0,3,9,3010,0,2014,0,98033,47.6948,-122.179,3010,7203,839950
+9268851670,4/24/15,3,2.5,2170,1984,2.5,0,0,3,8,2170,0,2008,0,98027,47.5401,-122.027,2150,1984,645000
+301400830,12/23/14,3,2.5,1584,3200,2,0,0,3,7,1584,0,2011,0,98002,47.3451,-122.215,1584,2800,263000
+4310702918,10/30/14,2,2.25,1110,1290,3,0,0,3,8,1110,0,2006,0,98103,47.6968,-122.34,1360,1251,345000
+4305600240,11/25/14,4,2.5,2420,5006,2,0,0,3,8,2420,0,2013,0,98059,47.4795,-122.126,2750,5471,505000
+7169500200,9/3/14,2,2.25,1430,1210,2,0,0,3,8,1340,90,2005,0,98115,47.6765,-122.301,1430,1016,522500
+3943600070,8/11/14,3,2.5,2393,4788,2,0,0,3,8,2393,0,2012,0,98055,47.4517,-122.204,2439,5477,400000
+1048000060,6/19/14,3,2.25,1240,949,3,0,0,3,8,1240,0,2008,0,98103,47.6488,-122.334,1310,1140,543000
+3449500045,10/13/14,4,2.5,2980,12075,1,0,0,3,8,1910,1070,2007,0,98056,47.5074,-122.172,2240,12075,495000
+1438000200,9/11/14,4,3.5,2970,6587,2,0,0,3,8,2260,710,2014,0,98059,47.4776,-122.122,2970,5690,549995
+5424100030,2/11/15,3,2.5,2329,5720,2,0,0,3,8,2329,0,2010,0,98030,47.362,-122.2,2197,5720,327555
+7853270710,4/9/15,5,3.25,3340,9075,2,0,0,3,8,2600,740,2005,0,98065,47.5446,-121.88,2770,6646,690000
+9161100075,3/18/15,4,2.25,2580,2875,2,0,0,3,9,2580,0,2015,0,98116,47.5674,-122.392,1290,5750,673000
+1085622860,7/21/14,3,2.5,2029,3906,2,0,0,3,9,2029,0,2014,0,98003,47.341,-122.18,2029,3920,384435
+9578090240,8/15/14,4,2.75,3430,6500,2,0,0,3,9,3050,380,2006,0,98052,47.7079,-122.106,3070,6802,780000
+4083306045,10/29/14,5,3.75,3330,5042,2,0,2,3,9,2470,860,2014,0,98103,47.6497,-122.339,1780,3990,1380000
+6666830320,3/24/15,5,3.5,3220,5081,2,0,0,3,8,3220,0,2013,0,98052,47.7048,-122.111,2970,5753,950968
+8562780160,3/29/15,2,2.25,1240,750,2,0,0,3,7,1150,90,2008,0,98027,47.5322,-122.073,1240,750,334950
+2767704603,6/9/14,3,3.5,1500,1249,2,0,0,3,8,1240,260,2004,0,98107,47.6727,-122.373,1440,1850,489000
+5631500292,4/20/15,3,3,3530,8345,2,0,0,3,10,3530,0,2006,0,98028,47.7338,-122.234,1940,9600,600000
+2424039036,8/22/14,3,2.25,1260,915,2,0,0,3,8,1020,240,2007,0,98106,47.555,-122.363,1260,1056,282000
+2867300030,8/1/14,4,4,4168,8485,2,0,0,3,10,3222,946,2007,0,98023,47.3029,-122.387,4362,8100,442000
+6661200260,5/12/15,2,1.5,1030,2850,2,0,0,3,7,1030,0,1995,0,98038,47.3845,-122.039,1030,3000,220000
+7238000240,2/18/15,3,2.5,3080,5598,2,0,0,3,8,3080,0,2006,0,98055,47.4372,-122.206,3080,5303,489000
+4051150070,12/23/14,3,1.5,1072,4339,2,0,0,3,7,1072,0,2009,0,98042,47.386,-122.162,1443,4341,250000
+1442880320,7/24/14,4,2.75,2790,5000,2,0,0,3,8,2790,0,2014,0,98045,47.4831,-121.773,2620,5527,484259
+3616600003,3/2/15,3,2.5,4090,16972,2,0,2,3,11,3590,500,2007,0,98177,47.7258,-122.37,3740,16972,1680000
+3862710030,4/24/15,3,2.5,1800,4357,2,0,0,3,8,1800,0,2013,0,98065,47.5337,-121.841,1800,3663,450000
+9828201361,11/14/14,2,1.5,830,1276,2,0,0,3,7,830,0,2005,0,98122,47.6175,-122.297,1540,1484,299000
+4019500030,10/29/14,3,2.5,2280,4557,2,0,0,3,8,2280,0,2010,0,98028,47.7733,-122.266,2070,4610,450000
+3630240140,1/23/15,4,3,2110,1286,2,0,0,3,9,1710,400,2007,0,98029,47.5444,-122.014,2000,1286,585000
+5695000270,11/3/14,3,2.25,1570,1680,3,0,0,3,8,1570,0,2014,0,98103,47.6585,-122.348,1290,1870,660000
+2349300069,5/12/14,2,1.5,830,1333,2,0,0,3,7,830,0,2005,0,98136,47.5506,-122.381,1120,4822,301500
+6790830060,9/15/14,4,3.75,4120,8258,2,0,0,3,10,4120,0,2012,0,98075,47.5872,-122.055,3730,8332,949950
+3630200640,10/30/14,4,2.5,2540,5760,2,0,0,3,9,2540,0,2009,0,98029,47.5405,-121.993,2580,3600,759990
+7967000160,3/16/15,4,2.75,2050,4000,2,0,0,3,8,2050,0,2014,0,98001,47.3522,-122.275,2050,4000,355000
+9492500160,7/23/14,4,2.75,3080,7242,2,0,0,3,9,3080,0,2014,0,98033,47.6948,-122.178,3010,7205,889950
+9268851740,7/1/14,3,2.5,2390,1984,2,0,0,3,8,2220,170,2008,0,98027,47.5405,-122.027,2150,1984,629800
+3342100421,4/24/15,4,2.5,3170,5100,2,0,0,3,9,3170,0,2012,0,98056,47.5187,-122.208,1580,5100,745000
+6362900138,11/3/14,2,1.5,1240,1331,2,0,0,3,7,1050,190,2007,0,98144,47.5959,-122.298,1250,1431,379900
+9358001422,11/14/14,3,2.5,1090,1139,2,0,0,3,8,960,130,2009,0,98126,47.5664,-122.369,1400,1348,335000
+7853280350,5/12/14,5,4.5,4630,6324,2,0,0,3,9,3210,1420,2006,0,98065,47.5382,-121.86,4420,6790,809000
+7853361420,8/26/14,4,2.5,3230,5899,2,0,0,3,8,3230,0,2012,0,98065,47.515,-121.869,2720,5899,569950
+7852120030,8/8/14,4,3.5,3510,9263,2,0,0,3,10,3510,0,2001,0,98065,47.5413,-121.877,3690,10417,723000
+731500320,11/10/14,4,2.5,1785,2552,2,0,0,3,8,1785,0,2009,0,98030,47.3582,-122.2,1691,2700,282000
+6056100102,10/30/14,5,3.25,2360,3873,2,0,0,3,8,1990,370,2006,0,98108,47.5635,-122.299,1720,3071,569900
+1823049179,1/21/15,4,2,2340,9716,1,0,0,3,7,2340,0,2009,0,98146,47.4842,-122.347,1180,13500,385000
+9268850030,7/7/14,3,2.25,1620,1075,3,0,0,3,8,1540,80,2009,0,98027,47.5405,-122.026,1620,1237,420000
+9831200159,8/6/14,3,3.25,3890,3452,2,0,0,3,12,2890,1000,2006,0,98102,47.626,-122.323,2860,2199,2250000
+8924100370,9/15/14,4,3.5,3590,5335,2,0,2,3,9,3140,450,2006,0,98115,47.6762,-122.267,2100,6250,1210000
+8669150700,12/8/14,4,3,1984,4460,2,0,0,3,7,1984,0,2012,0,98002,47.3532,-122.211,2095,3402,292000
+889000024,3/16/15,3,2.25,1640,1023,3,0,0,3,8,1640,0,2014,0,98105,47.6636,-122.319,1720,1960,645000
+9268850350,3/19/15,4,2,1350,942,3,0,0,3,7,1350,0,2008,0,98027,47.5394,-122.026,1390,942,304500
+2619950310,5/7/15,4,3.5,2730,5707,2,0,0,3,8,2000,730,2011,0,98019,47.7327,-121.965,2430,5899,489500
+7430200060,4/24/15,4,4,5610,11063,3,0,0,3,11,4750,860,2006,0,98074,47.65,-122.065,4560,11063,1580000
+5100400251,1/6/15,2,1,962,1992,2,0,0,3,7,962,0,2012,0,98115,47.6911,-122.313,1130,1992,390000
+2597490030,10/2/14,4,3.5,3040,4006,2,0,0,3,8,2350,690,2013,0,98029,47.5439,-122.011,2050,4000,815000
+3655500030,4/3/15,3,3.5,2540,10578,2,0,1,3,9,2010,530,2014,0,98006,47.547,-122.192,3240,9831,719000
+3751600784,4/3/15,4,2.5,2240,4800,2,0,0,3,8,2240,0,2014,0,98001,47.2911,-122.266,2240,5040,331210
+6781200013,5/7/14,3,1.5,1260,1270,2,0,0,3,7,1040,220,2005,0,98133,47.7111,-122.331,1260,1472,245000
+2619950060,9/9/14,5,4,3210,7200,2,0,0,3,8,2410,800,2011,0,98019,47.7329,-121.966,2750,7200,465000
+9523100731,9/30/14,3,2.5,1620,1171,3,0,4,3,8,1470,150,2008,0,98103,47.6681,-122.355,1620,1505,580000
+9272201318,4/14/15,3,2,1580,1972,2.5,0,2,3,8,1180,400,2007,0,98116,47.5903,-122.386,1500,1908,540000
+5676000004,11/18/14,3,2.5,1430,1250,3,0,0,3,7,1430,0,2007,0,98103,47.6904,-122.342,1360,1269,399000
+8091670070,8/4/14,4,2.5,1850,5388,2,0,0,3,8,1850,0,2009,0,98038,47.3494,-122.041,2140,5086,328000
+7853380570,5/11/15,4,2.5,3340,5314,2,0,0,3,10,3340,0,2010,0,98065,47.5167,-121.885,3220,5500,701000
+8091670200,10/22/14,3,2.75,2670,4800,2,0,0,3,8,2670,0,2014,0,98038,47.3483,-122.042,2340,5000,408000
+8084900160,2/12/15,5,4.25,4660,16200,2,0,2,3,11,4660,0,2005,0,98004,47.6326,-122.216,3340,16200,2640000
+1498300875,8/14/14,3,2.5,1550,930,2,0,0,3,8,1060,490,2006,0,98144,47.5857,-122.314,1550,1301,445000
+7853270200,10/21/14,4,2.5,3470,6651,2,0,0,3,9,3470,0,2005,0,98065,47.5426,-121.879,2730,6179,672500
+9211010320,7/9/14,3,2.5,3010,7014,2,0,0,3,8,3010,0,2009,0,98059,47.4949,-122.149,3030,6180,538000
+2867300160,9/4/14,5,3.5,3931,9497,2,0,0,3,10,2650,1281,2014,0,98023,47.3008,-122.386,3510,9497,450000
+3278605570,6/19/14,3,2.5,1800,2700,2,0,0,3,8,1800,0,2011,0,98126,47.5458,-122.369,1380,1200,362500
+4310702858,10/15/14,3,2.5,1570,1551,3,0,0,3,8,1570,0,2008,0,98103,47.6961,-122.341,1570,1705,414950
+2838000030,1/27/15,3,2.5,2230,3939,2,0,0,3,8,2230,0,2014,0,98133,47.73,-122.335,2230,4200,679950
+1673000240,11/12/14,4,2.5,2423,7292,2,0,0,3,8,2423,0,2005,0,98023,47.3227,-122.37,2495,7489,290000
+7899800791,10/23/14,3,2,1160,1174,2,0,0,3,7,790,370,2007,0,98106,47.5225,-122.357,1160,994,230000
+8682320160,2/20/15,2,2,1440,4666,1,0,0,3,8,1440,0,2010,0,98053,47.709,-122.019,1510,4595,439950
+8155870200,5/22/14,4,2.5,2052,3723,2,0,0,3,8,2052,0,2014,0,98003,47.2824,-122.295,2052,5250,349900
+2858600083,12/22/14,5,2.5,2780,9272,2,0,0,3,8,2780,0,2014,0,98126,47.5168,-122.378,1150,8460,550000
+2391601195,4/30/15,4,4.25,3720,5750,2,0,2,3,9,2960,760,2006,0,98116,47.5632,-122.399,2550,5750,1050000
+976000903,3/19/15,2,2.25,1460,1851,2,0,0,3,9,1180,280,2014,0,98119,47.6461,-122.362,1800,4269,655000
+7904700128,11/10/14,3,3.5,1370,1540,2,0,0,3,8,1100,270,2006,0,98116,47.5638,-122.388,1370,915,385000
+5609000311,4/10/15,6,4.5,3600,6110,2,0,0,3,9,2510,1090,2012,0,98118,47.5687,-122.291,1360,5800,729999
+1972201963,6/16/14,3,2.25,1420,1282,3,0,0,3,8,1420,0,2006,0,98103,47.6533,-122.346,1530,1280,523950
+9272201704,5/12/14,2,2.5,980,895,2,0,0,3,8,670,310,2009,0,98116,47.5874,-122.386,980,899,369000
+8648900060,5/5/14,3,2.5,1790,2700,2,0,0,3,8,1790,0,2010,0,98027,47.564,-122.093,1890,3078,509900
+3832050890,7/15/14,3,2.5,2010,5399,2,0,0,3,7,2010,0,2006,0,98042,47.3338,-122.052,2280,5141,282000
+255450340,8/27/14,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3696,-122.018,2370,4200,387865
+2172000890,11/20/14,4,2.5,2560,6238,2,0,0,3,8,2560,0,2007,0,98178,47.4899,-122.255,2560,6240,385000
+6127010320,6/9/14,3,2.5,1900,6224,2,0,0,3,7,1900,0,2005,0,98075,47.5941,-122.004,2260,5450,536000
+2810100023,6/25/14,2,2.25,1350,1493,2,0,0,3,8,1050,300,2007,0,98136,47.5421,-122.388,1250,1202,395000
+8011100125,11/17/14,4,2.75,2650,6717,2,0,0,3,10,2650,0,2014,0,98056,47.4947,-122.171,2740,7923,545000
+7852090390,4/13/15,4,2.5,3020,7035,2,0,4,3,9,3020,0,2001,0,98065,47.5344,-121.874,3020,6771,715000
+3630080070,7/10/14,3,2.5,1500,2255,2,0,0,3,7,1500,0,2005,0,98029,47.5538,-121.997,1440,2040,348000
+9126100765,8/1/14,3,1.75,1320,1014,3,0,0,3,9,1320,0,2015,0,98122,47.6047,-122.305,1380,1495,455000
+7853380510,6/3/14,4,2.75,3120,7644,2,0,0,3,10,3120,0,2010,0,98065,47.5156,-121.884,2980,6050,575000
+993000136,10/7/14,3,2.25,1540,1270,3,0,0,3,7,1540,0,2014,0,98103,47.6935,-122.341,1230,1454,449950
+3278604510,6/25/14,3,2.5,1800,2790,2,0,0,3,8,1800,0,2011,0,98126,47.5455,-122.371,1580,2036,364000
+2937300060,12/1/14,4,2.5,3640,6389,2,0,0,3,9,3640,0,2014,0,98052,47.7049,-122.123,3570,6303,932990
+9510860060,6/27/14,3,2.5,2440,4153,2,0,0,3,9,2440,0,2003,0,98052,47.665,-122.087,2030,4143,710000
+293070310,2/13/15,4,4,3970,7314,2,0,0,3,9,3970,0,2014,0,98074,47.6173,-122.056,3560,5258,949990
+255450400,7/31/14,3,2.5,2060,4200,2,0,0,3,8,2060,0,2014,0,98038,47.3706,-122.017,2370,4200,326989
+3845100140,7/8/14,3,2.5,2538,4600,2,0,0,3,8,2538,0,2013,0,98092,47.2584,-122.196,2570,4800,335606
+3758900075,5/7/14,5,4.5,4270,8076,2,0,0,3,11,3400,870,2007,0,98033,47.699,-122.206,4100,10631,1530000
+3395071610,11/26/14,3,2.5,1320,3150,2,0,0,3,7,1320,0,2005,0,98118,47.5328,-122.282,1390,1725,299950
+9477580030,10/14/14,4,2.75,3340,5700,2,0,0,3,11,3340,0,2013,0,98059,47.5059,-122.146,3340,6940,962000
+8138870060,8/13/14,2,2.5,1590,1679,2,0,0,3,8,1590,0,2012,0,98029,47.5449,-122.011,1590,1680,395825
+7237450030,10/14/14,5,2.75,2710,4500,2,0,0,3,8,2710,0,2014,0,98038,47.3547,-122.062,2710,4626,419354
+3767300041,8/26/14,4,2.75,3140,7258,2,0,1,3,10,3140,0,2006,0,98034,47.7064,-122.232,2990,13600,920000
+291310370,8/29/14,3,2.25,1445,1028,2,0,0,3,7,1300,145,2005,0,98027,47.5339,-122.067,1445,1377,366000
+7853361230,5/16/14,4,2.5,2430,5000,2,0,0,3,7,2430,0,2009,0,98065,47.515,-121.873,2430,5441,480000
+7904700126,11/20/14,3,3.25,1370,915,2,0,0,3,8,1100,270,2006,0,98116,47.5639,-122.388,1370,1146,388000
+8085400376,4/21/15,4,3.5,5050,9520,2,0,0,3,11,3610,1440,2007,0,98004,47.6364,-122.209,2430,9248,2320000
+9828702851,1/21/15,3,2.5,1860,1290,2,0,0,3,9,1240,620,2010,0,98122,47.6179,-122.301,1710,1525,730000
+8562710550,5/21/14,5,3.75,5330,6000,2,0,2,3,10,3570,1760,2006,0,98027,47.5401,-122.073,4420,5797,950000
+3278613210,7/28/14,3,3.25,1710,2171,2,0,0,3,7,1400,310,2014,0,98106,47.5434,-122.368,1380,1300,358990
+7694200340,10/16/14,4,2.5,2650,4120,2,0,0,3,8,2650,0,2014,0,98146,47.5019,-122.34,2030,3768,398651
+1839500055,11/14/14,4,2.5,2590,7891,2,0,0,3,9,2590,0,2006,0,98056,47.5055,-122.194,1400,7891,530000
+3448900320,7/23/14,4,2.5,2610,5562,2,0,0,3,9,2610,0,2013,0,98056,47.5137,-122.169,2720,7400,610360
+9267200226,5/2/14,3,2.5,1770,1235,3,0,0,3,8,1600,170,2007,0,98103,47.6965,-122.342,1680,1203,436110
+2895730070,6/20/14,4,2.75,3730,8014,2,0,0,3,10,3730,0,2012,0,98074,47.6036,-122.059,3670,8279,925000
+2970800105,3/13/15,4,2.5,2420,5244,2,0,0,3,9,2420,0,2007,0,98166,47.4729,-122.35,1400,5250,449950
+325059277,5/27/14,4,2.5,3330,7399,2,0,0,3,9,3330,0,2009,0,98052,47.679,-122.153,2640,8601,760000
+6817750140,7/8/14,3,2.25,1910,3481,2,0,0,3,8,1910,0,2009,0,98055,47.4293,-122.188,1714,3177,293000
+8682320640,2/12/15,2,2.5,2170,7665,1,0,2,3,8,2170,0,2013,0,98053,47.7112,-122.019,2300,7100,695000
+8669180390,6/4/14,3,2.5,2437,5136,2,0,0,3,7,2437,0,2011,0,98002,47.3517,-122.21,2437,4614,285000
+4233600260,12/30/14,5,4,4180,12042,2,0,0,3,10,4180,0,2014,0,98075,47.5959,-122.014,1800,6052,1260000
+3278611600,7/14/14,3,2.5,1800,2791,2,0,0,3,8,1800,0,2011,0,98126,47.5442,-122.371,1580,2617,379900
+7787920160,4/27/15,5,2.5,2570,7412,2,0,0,3,8,2570,0,2006,0,98019,47.7265,-121.957,2890,8056,472000
+2517101200,7/7/14,4,2.5,2090,5195,2,0,0,3,7,2090,0,2007,0,98031,47.3986,-122.166,2090,5236,300000
+6181420200,11/20/14,4,2.5,2789,3960,2,0,0,3,7,2789,0,2007,0,98001,47.3059,-122.28,2547,3960,272000
+3845100550,11/20/14,4,2.5,2906,5893,2,0,0,3,9,2906,0,2014,0,98092,47.2599,-122.192,2680,4950,418395
+7853321180,12/22/14,5,2.5,2550,6405,2,0,0,3,7,2550,0,2008,0,98065,47.5191,-121.869,2190,5900,465000
+7502800030,7/16/14,4,2.75,3550,9400,2,0,0,3,9,3550,0,2014,0,98059,47.4827,-122.131,3550,9421,659950
+3869900139,1/7/15,3,2.25,1590,926,3,0,0,3,8,1590,0,2014,0,98136,47.5402,-122.387,1640,1321,484950
+1332700200,4/26/15,3,2.25,1950,1968,2,0,0,4,7,1160,790,1979,0,98056,47.5179,-122.195,1950,1968,359000
+9211010260,6/17/14,4,2.5,3250,4500,2,0,0,3,8,3250,0,2009,0,98059,47.4944,-122.149,3030,4518,519000
+4100500070,5/27/14,5,4.5,4590,14685,2,0,0,3,10,4590,0,2009,0,98033,47.664,-122.2,3030,9486,1710000
+7708210070,6/17/14,4,2.75,3070,7201,2,0,0,3,9,3070,0,2006,0,98059,47.4897,-122.147,2880,8364,535000
+7853270520,4/9/15,4,3.25,3030,7644,2,0,0,3,8,2830,200,2006,0,98065,47.5457,-121.881,3400,6908,622950
+5126300060,8/11/14,3,2.5,2610,5845,2,0,0,3,8,2610,0,2005,0,98059,47.4821,-122.142,2810,5000,515000
+2517000260,5/22/14,4,3.5,3150,6202,2,0,0,3,7,3150,0,2005,0,98042,47.3993,-122.162,2950,5940,330000
+832700270,2/13/15,3,1.5,1240,983,3,0,0,3,8,1240,0,2009,0,98133,47.7235,-122.353,1240,1026,318000
+3022800260,10/7/14,3,2.5,1680,2801,2,0,0,3,7,1680,0,2011,0,98011,47.745,-122.181,1920,2723,439000
+254000241,3/24/15,3,2.5,2220,5279,2,0,0,3,8,2220,0,2006,0,98146,47.5132,-122.387,1610,5297,540000
+7237501370,7/17/14,4,3.25,4800,12727,2,0,0,3,10,4800,0,2011,0,98059,47.5311,-122.134,4750,13602,1080000
+662440030,3/26/15,4,2.5,3100,4699,2,0,0,3,9,3100,0,2010,0,98038,47.3785,-122.023,2450,5130,435000
+2524069078,1/22/15,4,4,7850,89651,2,0,0,3,12,7850,0,2006,0,98027,47.5406,-121.982,6210,95832,2700000
+8895800200,10/17/14,4,2.75,3590,5625,2,0,0,3,10,3590,0,2012,0,98052,47.6959,-122.133,3590,5625,1100000
+9268850160,2/6/15,4,2,1590,942,3,0,0,3,7,1590,0,2008,0,98027,47.54,-122.026,1390,942,293467
+7299600700,5/12/15,3,2.5,2242,4800,2,0,0,3,8,2242,0,2013,0,98092,47.2581,-122.2,2009,4800,328000
+291310340,7/8/14,3,3.5,2490,3582,2,0,0,3,8,1720,770,2005,0,98027,47.5338,-122.067,1445,1590,550000
+2768100510,4/2/15,3,2,1530,1442,3,0,0,3,9,1530,0,2015,0,98107,47.6692,-122.372,1620,1456,649000
+1776230060,7/8/14,4,2.5,2150,3143,2,0,0,3,7,2150,0,2010,0,98059,47.5048,-122.154,2640,3200,435000
+1772600510,6/20/14,3,2.5,2440,4800,2,0,0,3,10,2440,0,2014,0,98106,47.5595,-122.365,1180,5480,625000
+8024200677,4/29/15,3,1.5,1270,1483,3,0,0,3,8,1270,0,2007,0,98115,47.6987,-122.317,1270,1413,415000
+982850060,6/3/14,3,2.25,1450,4706,2,0,0,3,7,1450,0,2009,0,98028,47.761,-122.232,1490,4667,400000
+7518506715,5/6/14,3,2.5,2690,4047,3,0,0,3,10,2690,0,2014,0,98117,47.6797,-122.385,2040,5000,979000
+7202280390,2/20/15,4,2.5,2755,4831,2,0,0,3,7,2755,0,2003,0,98053,47.685,-122.039,2510,4831,625250
+710600160,9/9/14,4,3.5,2650,3474,2,0,0,3,8,2230,420,2011,0,98027,47.5377,-122.046,2330,3474,665000
+952005525,6/27/14,3,3.25,2310,3075,2,0,0,3,8,1730,580,2005,0,98116,47.5644,-122.383,2310,3075,589500
+2487700274,3/9/15,2,3,1460,1452,2,0,0,3,8,1140,320,2007,0,98136,47.5224,-122.39,1460,1452,437000
+3449000060,10/1/14,3,1,1400,9000,1,0,0,5,7,1400,0,1959,0,98059,47.5022,-122.145,1440,8400,320000
+7830800473,1/14/15,3,2.5,2196,7475,2,0,0,3,8,2196,0,2006,0,98030,47.3803,-122.204,1860,6755,333500
+6056100370,11/24/14,3,2.25,2020,2750,2,0,0,3,8,1680,340,2008,0,98108,47.5633,-122.297,1720,1546,430000
+2126059295,8/5/14,5,4.5,4280,8465,2,0,0,3,10,4280,0,2014,0,98034,47.7325,-122.165,2990,11067,995500
+1442880340,6/3/14,3,3,2340,5002,2,0,0,3,8,2340,0,2013,0,98045,47.4831,-121.773,2790,5375,427874
+7694200070,5/21/14,4,2.5,2220,4228,2,0,0,3,8,2220,0,2014,0,98146,47.5014,-122.341,2220,4157,334990
+8562710640,2/11/15,4,4,4420,5940,2,0,0,3,10,3410,1010,2006,0,98027,47.5397,-122.072,4510,5797,909500
+3832050860,3/19/15,3,2,1580,4961,2,0,0,3,7,1580,0,2006,0,98042,47.3338,-122.053,2280,5000,210000
+2526059225,1/23/15,4,2.75,3550,6558,2,0,0,3,9,3550,0,2013,0,98052,47.7076,-122.115,3140,5617,952990
+1972200139,2/18/15,2,1.75,1510,851,3,0,0,3,8,1420,90,2013,0,98107,47.6536,-122.358,1300,1338,622500
+2768100186,6/18/14,3,3.5,1360,1419,2,0,0,3,8,1040,320,2007,0,98107,47.6697,-122.371,1560,1977,515000
+6791400070,1/26/15,3,2.5,2040,13590,2,0,0,3,8,2040,0,2009,0,98042,47.3122,-122.04,1850,12485,350000
+424049284,10/16/14,1,1.5,1120,912,3,0,0,3,7,1120,0,2011,0,98144,47.5924,-122.299,1380,3200,310000
+7853280550,5/28/14,4,3.5,4490,5099,2,0,0,3,9,3390,1100,2006,0,98065,47.5394,-121.861,4290,5537,700000
+7768800270,7/15/14,4,2.5,3560,6786,2,0,0,3,9,2930,630,2014,0,98075,47.5756,-122.071,3560,5886,907687
+8682320350,7/9/14,2,2.5,2150,5760,1,0,0,3,8,2150,0,2010,0,98053,47.7094,-122.018,1640,4680,741500
+1776460140,7/24/14,3,2.5,2130,5088,2,0,0,3,8,1840,290,2011,0,98019,47.7329,-121.976,2130,5762,395000
+5045700400,2/23/15,5,2.75,2990,6370,2,0,0,3,8,2990,0,2014,0,98059,47.4853,-122.154,2730,5740,559950
+3356402702,7/25/14,4,2.5,1847,8000,2,0,0,3,7,1847,0,2008,0,98001,47.2872,-122.257,1847,8000,215000
+2140950160,2/22/15,4,2.5,2610,7227,2,0,0,3,9,2610,0,2011,0,98010,47.314,-122.023,2630,7421,390000
+2621069017,3/3/15,3,2.25,1670,107157,1,0,0,3,7,1670,0,2007,0,98022,47.2743,-122.009,3310,108900,425000
+1422069070,5/7/15,3,2.5,1860,415126,2,0,0,3,7,1860,0,2006,0,98038,47.3974,-122.005,2070,54014,472000
+2579500181,4/7/15,4,3.5,3440,9776,2,0,0,3,10,3440,0,2006,0,98040,47.5374,-122.216,2400,11000,1330000
+7852120140,6/10/14,4,3.5,3510,9364,2,0,0,3,10,3510,0,2001,0,98065,47.54,-121.876,3510,9161,695000
+9274200324,1/20/15,3,2.5,1740,1279,3,0,0,3,8,1740,0,2008,0,98116,47.589,-122.387,1740,1280,545000
+422000075,7/11/14,4,2.5,2240,5500,2,0,0,3,8,2240,0,2013,0,98056,47.496,-122.169,700,5500,389950
+263000253,3/30/15,3,2.25,1550,1485,3,0,0,3,8,1550,0,2011,0,98103,47.6989,-122.346,1550,1480,380000
+9268850140,11/17/14,4,2,1390,745,3,0,0,3,7,1390,0,2008,0,98027,47.5401,-122.026,1390,942,288790
+9306500200,4/1/15,3,3,2500,6000,2,0,0,3,8,2500,0,2012,0,98058,47.4408,-122.161,2130,6000,432500
+8562770350,12/6/14,3,3.5,2710,3326,2,0,0,3,8,1650,1060,2005,0,98027,47.5371,-122.073,2280,2738,615000
+2026049326,7/7/14,3,2.5,1720,3012,2,0,0,3,9,1720,0,2011,0,98133,47.7312,-122.334,1720,7658,500000
+9126101090,5/31/14,3,2.25,1760,1146,3,0,0,3,9,1760,0,2014,0,98122,47.6073,-122.304,1346,3472,615000
+2888000030,9/26/14,4,2.25,2270,8196,1,0,0,5,7,1150,1120,1963,0,98034,47.7214,-122.227,1920,10122,500000
+8032700075,10/15/14,3,3.5,1690,1765,2,0,0,3,8,1370,320,2006,0,98103,47.6536,-122.34,1690,1694,622000
+7853440140,4/9/15,5,3.5,4000,9234,2,0,0,3,9,4000,0,2015,0,98024,47.5265,-121.887,3690,6600,802945
+1245003330,7/31/14,4,2.5,2880,9003,2,0,0,3,10,2880,0,2008,0,98033,47.6844,-122.199,2640,8126,1260000
+1176001124,2/24/15,3,2.5,1480,1531,3,0,0,3,8,1480,0,2014,0,98107,47.669,-122.402,1530,1321,598950
+7853360990,1/2/15,3,2.5,1950,4949,2,0,0,3,7,1950,0,2009,0,98065,47.5155,-121.87,2200,5740,430000
+7853320030,11/24/14,4,2.75,2700,5150,2,0,0,3,9,2700,0,2009,0,98065,47.5209,-121.874,2700,5747,515000
+7576200012,7/17/14,2,3,2210,3917,2,0,0,3,10,1500,710,2008,0,98122,47.6166,-122.291,1720,3933,1260000
+7207900030,6/9/14,4,3.5,2370,3692,2.5,0,0,3,8,2370,0,2013,0,98056,47.5044,-122.17,2520,5425,400000
+952006827,4/22/15,3,2.5,1310,1254,2,0,0,3,7,850,460,2007,0,98116,47.5622,-122.384,1310,1372,390000
+7853321090,10/1/14,3,2.5,2410,4293,2,0,0,3,7,2410,0,2007,0,98065,47.5196,-121.869,2190,5900,450000
+1042700060,5/16/14,5,1.5,3360,5402,2,0,0,3,9,3360,0,2014,0,98074,47.6067,-122.053,3360,5415,804995
+2597490140,3/26/15,4,3.25,3040,4155,2,0,0,3,8,2350,690,2013,0,98029,47.5429,-122.012,2680,4000,825000
+7852130800,5/13/14,4,2.25,2140,6355,2,0,0,3,7,2140,0,2002,0,98065,47.5367,-121.88,2480,5746,435000
+7625702967,6/9/14,3,2.5,1720,1715,2,0,0,3,7,1240,480,2004,0,98136,47.5481,-122.384,1610,1626,398000
+3845100640,6/5/14,4,2.5,2658,3960,2,0,0,3,9,2658,0,2014,0,98092,47.2603,-122.194,2578,4200,411605
+1773100922,12/8/14,3,3.25,1480,983,2,0,0,3,8,1180,300,2013,0,98106,47.5555,-122.363,1330,1062,315000
+2770602493,11/20/14,2,2,1350,1209,3,0,0,3,8,1350,0,2013,0,98199,47.649,-122.383,1310,982,455000
+475000187,5/1/15,3,2.5,1150,1194,2,0,0,3,8,1020,130,2006,0,98107,47.6684,-122.365,1450,1714,452950
+6056100383,5/20/14,3,1.75,1690,1468,2,0,0,3,8,1380,310,2008,0,98108,47.563,-122.297,1690,1936,380000
+6056111370,11/24/14,2,1.75,1270,1916,2,0,0,3,8,1270,0,2012,0,98108,47.5648,-122.294,1140,1916,340000
+9578500510,11/3/14,3,2.5,2655,5080,2,0,0,3,8,2655,0,2013,0,98023,47.2972,-122.348,2879,5232,409950
+9828701488,5/4/15,2,1,880,1165,2,0,0,3,8,880,0,2005,0,98122,47.6192,-122.297,1640,3825,360000
+6600000217,4/3/15,4,4.25,4645,7757,2,0,0,3,10,3855,790,2006,0,98112,47.6248,-122.29,2150,6970,1600000
+8024200685,5/20/14,3,1.5,1270,1443,3,0,0,3,8,1270,0,2007,0,98115,47.699,-122.317,1270,1413,440000
+2923039264,9/10/14,2,1.75,1728,95950,1,0,3,3,9,1728,0,2012,0,98070,47.4579,-122.443,1720,35735,730000
+8073900070,5/22/14,3,2.25,1950,7221,1,0,0,4,8,1950,0,2006,0,98188,47.431,-122.285,2310,8125,408000
+2419700030,8/25/14,4,2.5,3170,3862,3,0,0,3,8,3170,0,2008,0,98034,47.6705,-122.145,2840,4181,820000
+9396700024,7/31/14,2,2.5,1233,1244,2,0,0,3,7,963,270,2007,0,98136,47.5533,-122.381,1230,1300,360000
+3845100160,6/20/14,3,2.5,2570,4600,2,0,0,3,8,2570,0,2014,0,98092,47.2582,-122.196,2570,5000,339990
+9126100814,10/8/14,3,2,1560,1020,3,0,0,3,8,1560,0,2014,0,98122,47.605,-122.304,1560,1728,515000
+1982201595,1/21/15,3,1.75,1630,1166,2,0,0,3,8,1020,610,2013,0,98107,47.6646,-122.367,1420,1670,541000
+8151600973,4/6/15,4,2.5,2510,7245,2,0,0,3,9,2510,0,2007,0,98146,47.5096,-122.363,1830,8900,375000
+2722059322,10/20/14,4,2.5,2223,5780,2,0,0,3,8,2223,0,2010,0,98042,47.3586,-122.157,1690,7766,320000
+8562780090,2/27/15,2,2.25,1230,1058,2,0,0,3,7,1160,70,2008,0,98027,47.5325,-122.073,1240,817,325000
+3346300356,3/18/15,5,2.75,3050,7520,2,0,0,3,8,3050,0,2014,0,98056,47.5245,-122.184,2180,10800,740000
+7237450600,10/30/14,5,2.75,2710,6220,2,0,0,3,8,2710,0,2014,0,98038,47.3555,-122.061,2530,4759,450000
+8944550100,7/23/14,4,2.5,2090,4400,2,0,0,3,8,2090,0,2011,0,98118,47.5403,-122.286,2090,3430,455000
+3438502437,2/3/15,3,2.5,1440,1068,2,0,0,3,8,1160,280,2006,0,98106,47.5393,-122.361,1580,1483,292500
+2423069039,8/6/14,3,2.5,2500,51836,1,0,0,3,9,1510,990,2013,0,98027,47.4694,-121.989,2270,54450,650000
+8011100047,3/6/15,4,2.75,2740,7872,2,0,0,3,10,2740,0,2015,0,98056,47.4954,-122.172,1220,6300,530000
+1042700300,8/4/14,5,3.25,3360,6120,2,0,0,3,9,3360,0,2014,0,98074,47.607,-122.053,3230,5398,829995
+1776460110,12/23/14,4,2.75,2280,5013,2,0,0,3,8,2280,0,2009,0,98019,47.7333,-121.976,2130,5121,395000
+293070090,7/11/14,4,2.75,3520,5500,2,0,0,3,9,3520,0,2014,0,98074,47.6181,-122.056,3340,5500,859990
+7548301044,7/10/14,2,1.5,1320,826,2,0,0,3,8,1100,220,2008,0,98144,47.5879,-122.304,1340,1213,342500
+7203160090,12/5/14,4,2.75,3410,5838,2,0,0,3,9,3410,0,2012,0,98053,47.6931,-122.022,3420,7048,743000
+8096800110,12/15/14,3,2.25,2730,9388,1,0,0,3,7,1390,1340,1975,0,98030,47.3785,-122.185,2255,5701,345000
+3278600900,12/31/14,3,2.5,1780,2778,2,0,0,3,8,1530,250,2007,0,98126,47.5487,-122.372,1380,1998,443000
+4051150100,9/29/14,3,2.5,1427,4337,2,0,0,3,7,1427,0,2009,0,98042,47.3857,-122.162,1443,4347,260000
+925059311,7/22/14,4,2.5,2910,6555,2,0,0,3,9,2910,0,2005,0,98033,47.6659,-122.172,2910,10419,810000
+4305600100,12/22/14,4,2.75,3250,5600,2,0,0,3,8,3250,0,2011,0,98059,47.4806,-122.125,2730,5667,570000
+2311400195,3/3/15,5,3.5,3630,8100,2,0,0,3,10,3630,0,2008,0,98004,47.5951,-122.2,1730,8246,1560000
+1732800194,11/13/14,2,2.5,1680,975,3,0,0,3,9,1680,0,2009,0,98119,47.6321,-122.361,1680,977,840000
+5015001452,4/14/15,3,2.5,2280,2296,3,0,0,3,9,1890,390,2013,0,98112,47.6256,-122.299,1390,4000,950000
+7853430690,1/27/15,3,2.5,3310,4682,2,0,0,3,9,2380,930,2015,0,98065,47.5201,-121.885,2660,5166,572800
+3821700038,10/1/14,3,3,1290,1112,3,0,0,3,7,1290,0,2008,0,98125,47.7282,-122.296,1230,9000,305000
+5078400215,7/30/14,5,4.75,3940,7067,2,0,0,3,10,3230,710,2008,0,98004,47.6232,-122.205,1910,7735,1700000
+1773100315,8/27/14,4,2.5,2170,6000,2,0,0,3,7,1630,540,2008,0,98106,47.5589,-122.365,1720,5668,445000
+2224069165,9/2/14,4,3.5,3290,8059,2,0,0,3,9,3290,0,2012,0,98029,47.5573,-122.02,3290,10758,801000
+9510861140,7/14/14,3,2.5,2550,5376,2,0,0,3,9,2550,0,2004,0,98052,47.6647,-122.083,2250,4050,711000
+3277801431,8/27/14,3,2.25,1140,977,2,0,0,3,7,850,290,2008,0,98126,47.5439,-122.375,1140,976,268500
+1760650750,10/6/14,4,2.5,2300,3825,2,0,0,3,7,2300,0,2012,0,98042,47.3594,-122.082,2110,3825,320000
+1607100038,9/21/14,4,3.25,2670,5001,1,0,0,3,9,1640,1030,2013,0,98108,47.5666,-122.293,1610,5001,500000
+1862400176,5/5/14,4,2.5,2440,6651,2,0,0,3,9,2440,0,2014,0,98117,47.6971,-122.371,1350,7653,631625
+5457801833,1/27/15,2,2.5,1611,2210,2,0,2,3,10,1611,0,2005,0,98109,47.6291,-122.347,2070,2182,850000
+8562770110,10/27/14,3,3.5,2710,3290,2,0,0,3,8,1650,1060,2006,0,98027,47.5367,-122.072,2440,3290,600000
+2623039019,5/8/14,3,2.75,2015,16807,2,1,4,3,9,2015,0,2007,0,98166,47.45,-122.377,1780,12310,988500
+9578500690,3/27/15,4,3.25,3444,5166,2,0,0,3,8,2714,730,2014,0,98023,47.2966,-122.348,2848,5182,430236
+711000110,9/15/14,3,2.5,3060,9576,2,0,0,3,10,3060,0,2005,0,98004,47.5928,-122.199,3060,9579,1270000
+2597490750,4/28/15,4,2.5,2050,2772,2,0,0,3,8,2050,0,2013,0,98029,47.5431,-122.011,1800,2886,689500
+6056100165,12/1/14,3,1.5,1390,1882,2,0,0,3,7,1390,0,2014,0,98108,47.5667,-122.297,1490,2175,175003
+2767603824,9/15/14,2,2.5,1240,1249,3,0,0,3,8,1240,0,2006,0,98107,47.6718,-122.386,1240,2500,459000
+7237550110,4/24/15,4,3.25,3750,74052,2,0,0,3,10,3750,0,2013,0,98053,47.658,-122.006,4920,74052,1180000
+2325300037,9/2/14,3,3.25,1410,1442,3,0,0,3,8,1360,50,2006,0,98125,47.7183,-122.317,1500,1200,358000
+1085623710,7/14/14,4,2.5,2448,4949,2,0,0,3,9,2448,0,2014,0,98030,47.3428,-122.179,2815,5446,447055
+774100475,6/27/14,3,2.75,2600,64626,1.5,0,0,3,8,2600,0,2009,0,98014,47.7185,-121.405,1740,64626,415000
+1489300215,10/13/14,4,3.25,3330,9000,2,0,0,3,9,2870,460,2004,0,98033,47.6836,-122.208,2550,6349,1210000
+9828702902,10/21/14,2,2.25,1160,1010,2,0,0,3,8,1000,160,2006,0,98112,47.6207,-122.301,1200,1170,495000
+6371000100,11/20/14,2,2.25,1330,1380,2,0,0,3,8,1060,270,2005,0,98116,47.577,-122.41,1580,4802,479000
+2025069140,3/17/15,3,2.5,2830,4334,3,1,4,3,10,2830,0,2006,0,98074,47.6318,-122.071,2830,38211,1900000
+2781280300,10/16/14,3,2.5,1610,3517,2,0,0,3,8,1610,0,2005,0,98055,47.4496,-122.189,1830,2889,249900
+9551201240,10/30/14,4,2.5,2800,4000,2,0,0,3,9,2800,0,2011,0,98103,47.6695,-122.339,1770,4200,1470000
+2726059144,4/10/15,5,3.75,4570,10194,2,0,0,3,11,4570,0,2006,0,98034,47.718,-122.161,2040,7560,1040000
+5363200100,10/20/14,4,2.5,2820,6120,2,0,0,3,9,2820,0,2014,0,98115,47.6911,-122.293,1510,6120,897000
+1725059330,3/27/15,4,2.5,2570,9470,2,0,0,3,9,2570,0,2006,0,98033,47.6548,-122.19,2570,10663,1100000
+7234601140,11/13/14,3,2.25,1710,1193,2,0,0,3,9,1140,570,2014,0,98122,47.6173,-122.31,1510,1193,685000
+3057000300,9/30/14,3,1.5,1220,3286,2,0,0,3,7,1220,0,1982,0,98033,47.7168,-122.189,1220,2640,295000
+1972200553,8/4/14,3,2.25,1650,946,3,0,0,3,8,1650,0,2014,0,98103,47.6536,-122.354,1570,1283,619000
+6371000148,11/25/14,2,1.5,1130,1340,2,0,0,3,8,910,220,2008,0,98116,47.5761,-122.41,1310,1340,439108
+301400850,2/20/15,3,2.25,1489,2800,2,0,0,3,7,1489,0,2011,0,98002,47.3452,-122.215,1584,3200,260000
+1123049232,6/6/14,5,2.5,2690,5557,2,0,0,3,7,2690,0,2012,0,98178,47.4914,-122.253,2090,10500,279000
+3654200037,3/30/15,3,2.25,1530,1305,2,0,0,3,7,1116,414,2007,0,98177,47.7034,-122.357,1320,1427,380000
+7299601790,11/7/14,3,2.5,1600,6315,2,0,0,3,8,1600,0,2013,0,98092,47.2611,-122.198,1608,4300,287000
+2771101921,12/11/14,2,1.5,1000,1251,2,0,0,3,7,930,70,2006,0,98199,47.6529,-122.384,1420,1187,377000
+3566800485,2/23/15,4,3.5,2440,3012,3,0,1,3,8,2440,0,2005,0,98117,47.6923,-122.392,1860,4650,649950
+2767601311,10/24/14,3,2.5,1260,1102,3,0,0,3,8,1260,0,2007,0,98107,47.675,-122.387,1320,2500,445000
+9137101696,5/4/15,3,2.5,1660,1692,3,0,0,3,7,1610,50,2005,0,98115,47.6801,-122.322,1210,1230,605000
+9528104345,9/23/14,3,2.25,1190,1137,2,0,0,3,7,960,230,1999,0,98115,47.677,-122.325,1190,1080,475000
+3753000100,8/28/14,3,3,1520,1884,3,0,0,3,8,1520,0,2009,0,98125,47.7176,-122.284,1360,1939,399000
+6798100690,4/20/15,5,2.75,3250,8100,2,0,0,3,8,3250,0,2014,0,98125,47.7133,-122.311,1270,8100,718000
+148000475,5/28/14,4,3.25,4700,9160,1,0,4,3,11,2520,2180,2005,0,98116,47.5744,-122.406,2240,8700,1400000
+3277801417,5/16/14,3,2.5,1480,1663,2,0,0,3,9,1180,300,2012,0,98126,47.5443,-122.375,1380,1537,341000
+8682320090,5/19/14,2,2.5,2380,9374,1,0,2,3,8,2380,0,2011,0,98053,47.7095,-122.019,1610,5000,818000
+9828701507,12/2/14,3,2.25,1640,1873,3,0,0,3,8,1640,0,2014,0,98112,47.6196,-122.297,1640,3920,759000
+3362400432,6/11/14,3,3.5,1650,2262,3,0,0,3,8,1650,0,2010,0,98103,47.6823,-122.347,1620,3166,547500
+856000195,5/21/14,5,4.75,5305,8401,2,0,2,3,11,3745,1560,2005,0,98033,47.6864,-122.215,2960,7200,2700000
+9396700028,7/22/14,2,2.5,1278,987,2,0,0,3,7,1002,276,2007,0,98136,47.5532,-122.381,1220,1287,358000
+8850000018,10/1/14,3,2.5,1200,813,3,0,0,3,9,1200,0,2010,0,98144,47.5894,-122.315,1750,4365,412000
+9524100207,1/30/15,2,1.5,690,1058,2,0,0,3,7,690,0,2005,0,98103,47.6951,-122.343,690,1058,245000
+1085623350,10/7/14,4,2.5,3202,4964,2,0,0,3,9,3202,0,2014,0,98030,47.3412,-122.179,2425,4886,460940
+7663700973,5/22/14,3,2.25,1347,1292,3,0,0,3,7,1347,0,2010,0,98125,47.7306,-122.291,1480,1865,321000
+7853420100,6/23/14,4,3.5,2960,6000,2,0,0,3,9,2960,0,2014,0,98065,47.5183,-121.886,2960,6000,633634
+1025039168,9/23/14,1,0.75,740,1284,1,0,0,4,6,740,0,1928,0,98107,47.6741,-122.406,1430,3988,290000
+476000110,4/1/15,2,2.25,1200,1137,3,0,0,3,7,1200,0,2007,0,98107,47.6715,-122.392,1280,1295,445000
+2254100090,4/7/15,5,3.5,4320,7502,2,0,0,3,9,3500,820,2012,0,98056,47.5235,-122.168,3250,7538,887250
+8682320600,9/11/14,3,2.5,2310,7348,1,0,3,3,8,2310,0,2010,0,98053,47.7116,-122.019,2310,7153,739000
+9834201366,12/16/14,3,2,1490,1286,3,0,0,3,8,1490,0,2014,0,98144,47.57,-122.288,1420,1230,429900
+7625702451,1/6/15,3,2,1480,800,2,0,0,3,8,1000,480,2014,0,98136,47.5492,-122.387,1480,886,459000
+301402120,6/25/14,3,2.25,1481,2820,2,0,0,3,7,1481,0,2012,0,98002,47.3457,-122.217,1481,3028,240000
+6382500076,9/10/14,3,3,1730,1902,3,0,0,3,8,1730,0,2014,0,98117,47.6944,-122.377,1830,1804,566950
+3758900259,5/7/14,4,3.5,3900,8391,2,0,0,3,10,3900,0,2006,0,98033,47.6979,-122.205,3820,12268,1040000
+3126049446,3/10/15,3,3.5,1130,1449,3,0,0,3,7,1130,0,2005,0,98103,47.6968,-122.348,1130,1200,343000
+3744000100,11/11/14,4,3.25,3230,4838,2,0,0,3,9,3230,0,2014,0,98038,47.3559,-122.023,2980,5094,572115
+9510860750,1/8/15,5,3.5,3920,5150,2,0,0,3,9,2820,1100,2004,0,98052,47.6638,-122.084,3170,5530,918000
+7228500037,5/5/15,2,1.5,1190,1361,2,0,0,3,8,1190,0,2007,0,98122,47.6161,-122.302,1280,3360,555000
+3814900750,7/16/14,4,2.5,2311,4396,2,0,0,3,9,2311,0,2014,0,98092,47.3276,-122.163,2458,4616,399440
+1294300038,7/11/14,3,2.5,1810,914,3,0,0,3,8,1380,430,2008,0,98116,47.5732,-122.387,1810,914,450000
+7853350090,6/4/14,4,2.5,3290,6203,2,0,0,3,9,3290,0,2008,0,98065,47.5441,-121.86,2990,6835,648000
+9211010900,6/18/14,4,2.5,3250,5000,2,0,0,3,8,3250,0,2008,0,98059,47.4988,-122.148,3230,5507,580000
+1085623250,3/31/15,4,2.5,2544,4071,2,0,0,3,9,2544,0,2013,0,98030,47.341,-122.179,2358,4179,415000
+2025049192,10/21/14,3,2.5,1380,1389,3,0,0,3,8,1380,0,2008,0,98102,47.6427,-122.327,1380,1249,527500
+7625703354,7/30/14,3,2.25,1430,800,2,0,0,3,8,1140,290,2011,0,98136,47.5477,-122.388,1430,1387,384000
+2051200436,8/20/14,3,2.5,3490,28213,1.5,0,2,3,9,2242,1248,2009,0,98070,47.365,-122.456,2120,56628,692000
+3880900236,8/22/14,2,1.5,910,966,2,0,0,3,8,820,90,2006,0,98119,47.627,-122.361,2740,6400,455000
+1646502355,4/3/15,4,3.25,3080,4120,2,0,0,3,9,2380,700,2014,0,98117,47.6845,-122.359,1410,4120,1280000
+2619950110,6/24/14,3,2.5,2280,6031,2,0,0,3,8,2280,0,2011,0,98019,47.7322,-121.966,2430,7200,415000
+1964700054,12/22/14,3,2.5,1660,1344,3,0,0,3,8,1660,0,2008,0,98102,47.644,-122.327,1750,2040,975000
+1926059039,10/6/14,4,2.5,3320,7429,2,0,0,3,9,3320,0,2014,0,98034,47.7189,-122.225,1840,7429,799950
+3438500037,4/5/15,5,4,1680,7268,1,0,0,3,8,1370,310,2008,0,98106,47.5571,-122.356,2040,8259,545000
+9578501110,10/3/14,4,3.5,2584,5005,2,0,0,3,8,2584,0,2014,0,98023,47.296,-122.35,2767,5201,429900
+8856004786,7/29/14,3,2.5,2217,8019,2,0,0,3,7,2217,0,2009,0,98001,47.2776,-122.251,1470,8037,275000
+7708200600,7/18/14,3,2.5,2480,4136,2,0,0,3,8,2480,0,2009,0,98059,47.493,-122.147,2510,4314,498000
+9492500090,5/27/14,3,2.5,2610,7256,2,0,0,3,9,2610,0,2014,0,98033,47.695,-122.18,2610,7206,754950
+8691440100,6/6/14,4,3,3240,5562,2,0,0,3,10,3240,0,2013,0,98075,47.5919,-121.975,3380,5562,895000
+7222000090,5/6/14,4,3.25,3569,8327,2,0,0,3,10,3569,0,2013,0,98055,47.4595,-122.208,2550,5251,580000
+3321049112,2/22/15,4,2.5,3181,5831,2,0,0,3,8,3181,0,2014,0,98003,47.2716,-122.297,2056,24393,379900
+2911000100,3/10/15,4,2.5,1921,4888,2,0,0,3,7,1921,0,2009,0,98001,47.2689,-122.24,1921,9140,245000
+3862710090,8/26/14,3,2.5,1570,4926,2,0,0,3,8,1570,0,2014,0,98065,47.5342,-121.842,1800,3202,417000
+8648900110,5/5/14,3,2.5,1940,3211,2,0,0,3,8,1940,0,2009,0,98027,47.5644,-122.093,1880,3078,555000
+8648900110,8/26/14,3,2.5,1940,3211,2,0,0,3,8,1940,0,2009,0,98027,47.5644,-122.093,1880,3078,555000
+6791400100,9/10/14,4,2.5,2210,13721,2,0,0,3,8,2210,0,2009,0,98042,47.3122,-122.039,1850,12951,353000
+2768301477,4/25/15,3,2.25,1280,1187,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,539000
+126039256,9/4/14,3,2,1520,5040,2,0,0,3,7,1520,0,1977,2006,98177,47.777,-122.362,1860,8710,434900
+8562780110,12/2/14,2,2.25,1230,1078,2,0,0,3,7,1160,70,2008,0,98027,47.5324,-122.073,1240,817,325000
+8032700110,4/9/15,3,2.5,1480,2159,3,0,0,3,8,1480,0,2007,0,98103,47.6533,-122.341,1480,1554,650000
+5635100090,2/25/15,4,2.5,2612,5850,2,0,0,3,8,2612,0,2014,0,98030,47.3751,-122.189,2419,8984,379950
+2597490300,11/19/14,3,2.5,2350,4975,2,0,0,3,8,2350,0,2012,0,98029,47.5418,-122.01,2350,3951,700000
+9301300805,12/15/14,3,2.5,1300,1590,2,0,0,3,8,1100,200,2014,0,98109,47.6384,-122.343,1070,1223,675000
+3449000300,6/9/14,4,1.5,2020,7560,1,0,0,4,7,2020,0,1960,0,98059,47.502,-122.146,1410,8080,379000
+8562770490,3/30/15,3,2.5,2140,2867,2,0,0,3,8,1960,180,2005,0,98027,47.5357,-122.073,2280,2836,571000
+3052700464,10/24/14,3,2.25,1380,1621,2,0,0,3,8,1140,240,2007,0,98117,47.678,-122.375,1460,1403,475000
+9276200569,5/9/14,4,3.5,2730,3047,2,0,0,3,8,2400,330,2006,0,98116,47.5797,-122.391,1980,4600,769900
+7853280490,12/22/14,4,3.5,4220,5817,2,0,0,3,9,2910,1310,2006,0,98065,47.5392,-121.862,4290,6637,633000
+2883200524,5/12/14,3,2.5,1570,1433,3,0,0,3,8,1570,0,2010,0,98103,47.6858,-122.336,1570,2652,635000
+3630200300,7/25/14,4,3.5,4670,6000,2,0,3,3,11,3820,850,2007,0,98027,47.5414,-121.994,4310,6000,1240000
+1383800015,1/8/15,3,2.25,1370,1007,3,0,0,3,8,1330,40,2009,0,98107,47.6682,-122.361,1570,1635,524000
+1441000090,11/26/14,4,3.5,3273,5115,2,0,0,3,8,2671,602,2014,0,98055,47.4477,-122.204,2996,5100,485000
+3760500407,5/21/14,3,4,3880,13095,2,0,3,3,11,3700,180,2009,0,98034,47.6996,-122.233,3880,10830,1030000
+9528101214,10/24/14,3,3.5,1494,1262,3,0,0,3,8,1494,0,2011,0,98115,47.6826,-122.324,1494,1264,650000
+2801910100,10/1/14,3,2.5,2930,5641,2,0,0,3,8,2930,0,2013,0,98052,47.71,-122.113,3300,5641,754842
+1085623640,9/24/14,4,2.5,2598,5553,2,0,0,3,9,2598,0,2014,0,98092,47.3412,-122.178,2502,4900,428900
+7299601460,6/23/14,3,2.5,2242,4995,2,0,0,3,8,2242,0,2011,0,98092,47.2595,-122.202,1798,4942,329900
+1070000110,12/18/14,4,2.5,2830,5932,2,0,0,3,9,2830,0,2014,0,98199,47.6479,-122.408,2840,5593,1040000
+7853360820,9/9/14,4,2.5,2710,6937,2,0,0,3,7,2710,0,2009,0,98065,47.5153,-121.871,2380,5866,544999
+7436700090,5/29/14,4,2.75,2320,4344,2,0,0,3,8,2320,0,2012,0,98059,47.4862,-122.163,2310,3770,449950
+3034200399,1/13/15,4,2.5,2720,7991,2,0,0,3,9,2720,0,2006,0,98133,47.7168,-122.331,1590,8611,635000
+889000015,11/3/14,3,1.75,1650,1180,3,0,0,3,8,1650,0,2014,0,98105,47.6638,-122.319,1650,1960,599000
+2767704252,11/3/14,3,3.25,1430,1348,2,0,0,3,8,1160,270,2008,0,98107,47.6743,-122.374,1160,1265,478000
+2143700756,9/29/14,4,2.5,2090,5040,2,0,0,3,9,2090,0,2014,0,98055,47.4797,-122.23,1430,12000,388000
+8946780110,8/4/14,4,3.5,3660,4903,2,0,0,3,9,2760,900,2014,0,98034,47.7184,-122.156,3630,4992,809950
+6790830090,4/15/15,4,3.5,4220,8417,3,0,0,3,10,4220,0,2012,0,98075,47.5869,-122.054,3730,8435,1060000
+2768100512,4/22/15,2,2.5,1450,1213,2,0,0,3,9,1110,340,2015,0,98107,47.6692,-122.372,1620,1456,659000
+9477580110,6/26/14,4,3.75,3460,6738,2,0,0,3,11,3460,0,2013,0,98059,47.506,-122.145,3340,6120,971971
+7625702437,1/15/15,3,2.5,1350,874,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,389000
+5416510490,7/8/14,4,2.75,3000,5470,2,0,0,3,8,3000,0,2005,0,98038,47.3613,-122.038,2420,4891,355000
+1123059125,12/8/14,4,2.5,2950,10003,2,0,0,3,9,2950,0,2006,0,98059,47.489,-122.14,2790,9323,551500
+7237450110,7/1/14,4,2.5,2530,5048,2,0,0,3,8,2530,0,2014,0,98038,47.3559,-122.063,2530,4359,417838
+250000090,7/14/14,4,4.5,4650,7660,2,0,0,3,11,3640,1010,2008,0,98004,47.6349,-122.198,1710,8400,1750000
+2025049206,6/11/14,2,1,710,1131,2,0,0,4,7,710,0,1943,0,98102,47.6413,-122.329,1370,1173,399950
+5631500941,7/15/14,4,2.5,3050,8000,2,0,0,3,9,3050,0,2007,0,98028,47.7465,-122.231,1910,8000,740000
+8562780490,2/23/15,3,2.5,1150,683,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,755,335000
+3262300485,4/21/15,5,5.25,3410,8118,2,0,0,3,11,3410,0,2006,0,98039,47.6295,-122.236,3410,16236,2250000
+5693500846,4/20/15,3,1.75,1370,1921,3,0,0,3,8,1370,0,2007,0,98103,47.6595,-122.351,1370,4000,667000
+925059313,3/12/15,4,2.5,3540,7009,2,0,0,3,9,3540,0,2007,0,98033,47.6749,-122.176,2150,10290,920000
+2461900492,5/11/14,3,2.5,1370,1350,2,0,0,3,7,1010,360,2007,0,98136,47.5534,-122.382,1450,6000,368000
+6817750110,7/10/14,4,2.5,1714,3080,2,0,0,3,8,1714,0,2009,0,98055,47.429,-122.188,1714,3250,307000
+3574770100,1/16/15,4,2.75,3650,4534,2,0,0,3,7,2940,710,2014,0,98028,47.7397,-122.224,2400,7682,550000
+8564860110,1/13/15,4,2.5,2990,6037,2,0,0,3,9,2990,0,2013,0,98045,47.4766,-121.735,2990,5992,594491
+1085622460,9/29/14,4,2.5,3284,6516,2,0,0,3,8,3284,0,2014,0,98092,47.3393,-122.181,2555,5008,460458
+1777600850,6/24/14,4,2.25,3550,13900,1,0,0,3,8,1830,1720,2010,0,98006,47.5681,-122.127,2770,12200,859000
+9284801500,12/11/14,3,3,1860,2875,2,0,0,3,8,1710,150,2009,0,98126,47.5511,-122.373,1350,4830,399950
+7217400389,4/1/15,3,3.25,1720,1977,2,0,0,3,8,1360,360,2007,0,98122,47.6127,-122.299,1720,3420,547500
+3832051140,6/23/14,3,2.5,2540,4775,2,0,0,3,7,2540,0,2006,0,98042,47.3341,-122.052,2270,5000,310000
+925059137,6/2/14,4,2.75,3270,12880,2,0,0,3,9,3270,0,2014,0,98033,47.6679,-122.172,2420,7505,939000
+6021503706,10/14/14,2,2.5,980,1021,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,329900
+475000176,12/22/14,3,2.5,1150,1193,2,0,0,3,8,1020,130,2006,0,98107,47.6684,-122.365,1450,1640,436000
+1220000367,7/16/14,3,2.5,1820,1855,2,0,0,3,8,1570,250,2008,0,98166,47.4643,-122.346,1470,6900,320000
+3278605590,9/26/14,3,2.5,1580,3825,2,0,0,3,8,1580,0,2011,0,98126,47.5458,-122.369,1380,1500,375000
+7203140110,3/24/15,3,2,1460,3696,2,0,0,3,7,1460,0,2010,0,98053,47.6861,-122.013,1720,3631,392137
+3818400110,8/26/14,4,2.5,2900,4950,2,0,0,3,8,2900,0,2004,0,98028,47.7717,-122.236,2590,4950,520000
+7702080110,10/16/14,5,2.75,2620,6389,2,0,0,3,9,2620,0,2007,0,98028,47.77,-122.236,2620,4504,535000
+952002250,3/24/15,2,2.5,1340,999,2,0,0,3,8,940,400,2008,0,98116,47.5655,-122.386,1470,1436,407000
+9578500820,11/25/14,4,3.25,3266,5398,2,0,0,3,8,3266,0,2014,0,98023,47.2975,-122.35,3087,5152,424950
+3448000542,8/11/14,2,1.5,1076,1060,3,0,0,3,7,1076,0,2006,0,98125,47.7167,-122.298,1076,1060,290000
+9358000552,10/29/14,3,3.25,1680,1478,2,0,0,3,8,1360,320,2009,0,98126,47.5674,-122.369,1530,2753,399000
+2770601696,7/3/14,3,2.5,1930,1348,2,0,0,3,8,1300,630,2005,0,98199,47.6513,-122.384,1630,6000,439990
+9834201145,2/22/15,4,2.5,2880,3091,2,0,0,3,9,1940,940,2014,0,98144,47.5711,-122.286,1560,4080,635000
+3575305452,7/17/14,4,2.25,2240,5000,2,0,0,3,8,2240,0,2013,0,98074,47.6212,-122.058,1760,7500,635000
+6181500100,4/29/15,3,2.5,2594,4455,2,0,0,3,8,2594,0,2012,0,98001,47.3054,-122.276,2981,4950,351000
+2767604074,8/22/14,2,1.5,1210,1232,3,0,0,3,8,1210,0,2007,0,98107,47.6712,-122.39,1330,1174,437500
+2872100345,5/30/14,4,3.5,3760,5000,2,0,0,3,9,2860,900,2014,0,98117,47.6826,-122.394,1340,5000,919204
+2937300440,9/8/14,4,2.5,3600,6055,2,0,0,3,9,3600,0,2014,0,98052,47.7053,-122.126,3590,6050,923990
+2597490660,6/24/14,4,2.5,2050,2772,2,0,0,3,8,2050,0,2012,0,98029,47.5421,-122.011,2050,2934,639888
+3528900768,1/14/15,3,3.25,1510,2064,2,0,0,3,8,1220,290,2008,0,98109,47.6398,-122.345,1670,2594,675000
+3885802135,6/10/14,4,2.5,2580,3909,2,0,0,3,8,2580,0,2013,0,98033,47.6852,-122.21,1820,5772,899900
+3336500190,1/30/15,3,2.5,1670,4020,2,0,0,3,7,1670,0,2009,0,98118,47.53,-122.268,1670,4020,252000
+2425059174,3/17/15,4,2.5,3190,10034,2,0,0,3,9,3190,0,2007,0,98052,47.6379,-122.111,2110,9300,925000
+1890000170,10/29/14,3,2.5,1280,1920,3,0,0,3,8,1280,0,2009,0,98105,47.6621,-122.324,1450,1900,552000
+5137800130,4/7/15,4,2.5,2718,6197,2,0,0,3,8,2718,0,2006,0,98092,47.3255,-122.164,2667,5000,388500
+2767603753,8/29/14,2,2,1370,1878,3,0,0,3,8,1370,0,2004,0,98107,47.6721,-122.387,1280,1878,548000
+6181410950,9/22/14,3,2.5,1794,4769,2,0,0,3,7,1794,0,2005,0,98001,47.3052,-122.283,3557,4807,254950
+3226069049,12/8/14,4,4.5,5120,41327,2,0,0,3,10,3290,1830,2008,0,98053,47.7009,-122.059,3360,82764,1240000
+6056110430,9/30/14,3,2.5,2160,1912,2,0,0,3,9,1970,190,2014,0,98118,47.5642,-122.292,1810,2653,629000
+2916200091,3/3/15,4,2.5,2180,7204,2,0,0,3,8,2180,0,2014,0,98133,47.7221,-122.352,1500,7650,734000
+1773100980,6/18/14,3,2.25,1490,1294,2,0,0,3,7,1220,270,2010,0,98106,47.5569,-122.363,1490,1283,309000
+1123059126,7/3/14,3,2.5,2950,10254,2,0,0,3,9,2950,0,2006,0,98059,47.4888,-122.14,2800,9323,554950
+825079024,5/6/15,3,2.75,2990,207781,2,0,0,3,9,2990,0,2000,0,98014,47.662,-121.944,2590,218671,785000
+8029770470,6/5/14,4,2.5,2700,5150,2,0,0,3,9,2700,0,2007,0,98059,47.5071,-122.148,3160,7620,550000
+1563102965,8/11/14,4,3.5,3130,5000,3,0,0,3,10,3130,0,2014,0,98116,47.5656,-122.403,1950,5152,1010000
+5021900635,10/28/14,3,2,3620,14250,2,0,0,3,8,3220,400,2007,0,98040,47.5767,-122.225,2370,14250,1580000
+9264450460,6/3/14,5,2.75,2481,4045,2,0,0,3,8,2481,0,2014,0,98001,47.2602,-122.284,2363,4175,309000
+7694200430,6/25/14,3,2.5,1730,3600,2,0,0,3,8,1730,0,2014,0,98146,47.5019,-122.34,2030,3600,328423
+7548301041,6/23/14,3,1.5,1420,1192,2,0,0,3,8,1140,280,2008,0,98144,47.5881,-122.304,1340,1213,345000
+726059483,11/21/14,5,3.5,3160,5175,2,0,0,3,9,3160,0,2014,0,98011,47.755,-122.216,2100,9351,660000
+2771102144,5/2/14,3,3.25,1320,1327,2,0,0,3,8,1040,280,2008,0,98199,47.6506,-122.383,1440,1263,385000
+7011201476,3/18/15,2,2.25,1010,1107,2,0,0,3,8,710,300,2006,0,98119,47.6363,-122.371,1140,1531,459000
+53500020,1/14/15,3,2.5,1870,4046,2,0,0,3,7,1870,0,2007,0,98042,47.342,-122.059,2130,4800,248000
+8920100066,8/20/14,4,3.5,5220,15411,2,0,3,3,11,3550,1670,2006,0,98075,47.592,-122.085,3110,14124,1480000
+8091670020,8/1/14,4,2.5,2260,5824,2,0,0,3,8,2260,0,2011,0,98038,47.3496,-122.042,2240,5561,379000
+1176001310,3/4/15,5,4.5,4340,5722,3,0,4,3,10,4340,0,2010,0,98107,47.6715,-122.406,1770,5250,2950000
+3629960680,9/26/14,2,2.25,1620,1841,2,0,0,3,8,1540,80,2004,0,98029,47.5483,-122.004,1530,1831,395000
+8562770250,5/7/14,3,2.5,2280,2289,2,0,0,3,8,1880,400,2006,0,98027,47.5375,-122.073,2280,2425,535000
+1102000514,10/22/14,5,3.5,3400,9804,2,0,0,3,9,2550,850,2008,0,98118,47.543,-122.266,2380,7440,970000
+1773100275,2/1/15,2,1.5,830,1020,2,0,0,3,7,830,0,2006,0,98106,47.5604,-122.363,830,1379,205000
+321030010,10/15/14,4,2.5,2310,7384,2,0,0,3,8,2310,0,2010,0,98042,47.3737,-122.165,2310,7800,310000
+5393600509,7/2/14,2,1.5,830,1858,2,0,0,3,7,830,0,2005,0,98144,47.5828,-122.314,1480,3030,334500
+2895730280,8/28/14,5,3.25,4130,7197,2,0,0,3,10,4130,0,2012,0,98074,47.6022,-122.06,3730,7202,995000
+7967000130,4/1/15,4,3,2050,4000,2,0,0,3,8,2050,0,2014,0,98001,47.3525,-122.275,2050,4000,370228
+7570060290,3/4/15,4,2.5,2050,4953,2,0,0,3,9,2050,0,2014,0,98038,47.3448,-122.024,2340,6175,383000
+291310170,8/4/14,3,2.5,1600,2610,2,0,0,3,8,1600,0,2005,0,98027,47.5344,-122.068,1445,1288,384500
+923000425,7/18/14,5,2.5,3190,8160,2,0,0,3,9,3190,0,2014,0,98177,47.7246,-122.363,1650,8160,865000
+3630200780,5/22/14,4,3.75,3860,5474,2.5,0,0,3,10,3860,0,2007,0,98029,47.5396,-121.995,3040,5474,1050000
+9578060660,5/13/14,4,2.5,2040,5616,2,0,0,3,8,2040,0,2012,0,98028,47.7737,-122.238,2380,4737,502000
+250000010,9/24/14,4,3.5,3845,8400,2,0,0,3,10,3845,0,2013,0,98004,47.6354,-122.198,1710,8400,1750000
+1438000010,9/12/14,4,2.5,2650,6875,2,0,0,3,8,2650,0,2014,0,98059,47.479,-122.124,2650,5831,569995
+6626300095,5/19/14,4,2.5,3430,64441,2,0,0,3,8,3430,0,2013,0,98077,47.7694,-122.064,3580,64441,749950
+8562901100,12/30/14,3,2.5,2430,5400,2,0,0,3,8,2430,0,2007,0,98074,47.6062,-122.057,2640,11990,550000
+6979970080,5/13/14,3,3.5,2876,5086,2,0,0,3,8,2360,516,2007,0,98072,47.7511,-122.173,2390,4419,525000
+7853320470,6/11/14,4,3.5,2550,8698,2,0,0,3,7,2550,0,2007,0,98065,47.5216,-121.869,2430,5519,516000
+1424069056,8/5/14,4,3.75,4100,61419,2,0,0,3,9,4100,0,2014,0,98029,47.5626,-122.005,2010,32362,1350000
+3448740250,4/28/15,4,2.5,2730,4526,2,0,0,3,7,2730,0,2009,0,98059,47.491,-122.153,2190,4572,440000
+8129700728,4/14/15,3,2.5,1780,1729,2,0,0,3,8,1080,700,2008,0,98103,47.6594,-122.355,1780,1741,660000
+3832080440,12/9/14,3,2.5,1880,5000,2,0,0,3,7,1880,0,2010,0,98042,47.3359,-122.054,2260,5000,261950
+9512200050,8/27/14,5,3.75,3090,4943,2,0,0,3,10,3090,0,2010,0,98058,47.4594,-122.133,3191,5561,551000
+4027700014,2/25/15,3,3.5,2460,14155,2,0,0,3,8,1900,560,2014,0,98155,47.7743,-122.279,2440,14080,665000
+7853400250,6/4/14,4,3.5,2910,5260,2,0,0,3,9,2910,0,2012,0,98065,47.5168,-121.883,2910,5260,610000
+7853400250,2/19/15,4,3.5,2910,5260,2,0,0,3,9,2910,0,2012,0,98065,47.5168,-121.883,2910,5260,645000
+7853420480,6/18/14,3,1.75,1930,6360,1,0,0,3,9,1930,0,2013,0,98065,47.5181,-121.885,2770,6373,536751
+8943600020,4/26/15,3,2.25,1413,3403,2,0,0,3,8,1413,0,2009,0,98031,47.4196,-122.193,1763,3719,260000
+4221900305,1/21/15,3,3.25,4030,6300,2,0,0,3,10,3630,400,2006,0,98105,47.6664,-122.276,1660,6300,1310000
+1112630130,2/20/15,4,3.25,2880,5929,2.5,0,0,3,8,2880,0,2014,0,98023,47.2752,-122.349,2880,5846,429900
+123039376,8/20/14,4,2.75,2360,15100,1,0,0,3,8,2360,0,2014,0,98146,47.5117,-122.365,1440,13346,535000
+2767603962,4/14/15,2,1.75,1070,1276,3,0,0,3,8,1070,0,2006,0,98107,47.6719,-122.39,1290,2057,462550
+4083306552,3/10/15,3,3.25,1460,1367,3,0,0,3,8,1460,0,2008,0,98103,47.6485,-122.334,1310,1191,602000
+745500010,12/8/14,4,2.75,3800,9606,2,0,0,3,9,3800,0,2008,0,98011,47.7368,-122.208,3400,9677,730000
+7899800851,4/23/15,2,1.5,1190,801,3,0,0,3,8,1190,0,2010,0,98106,47.5212,-122.358,1190,810,300500
+7853350170,5/16/14,5,2.5,3200,6455,2,0,0,3,9,3200,0,2009,0,98065,47.5446,-121.862,3290,7924,675000
+6056100380,5/20/14,3,2.25,1970,2377,2,0,0,3,8,1680,290,2008,0,98108,47.5631,-122.297,1690,1936,415000
+626059127,11/17/14,3,2.5,2830,5831,2,0,0,3,9,2830,0,2010,0,98011,47.7744,-122.224,2830,6064,614000
+1459920190,12/4/14,4,2.5,2630,5701,2,0,0,3,7,2630,0,2010,0,98042,47.375,-122.16,2770,5939,385000
+3574750020,6/25/14,4,2.75,2720,4613,2,0,0,3,9,2720,0,2005,0,98028,47.7352,-122.223,2830,4836,594000
+2547200190,5/20/14,4,2.75,3160,8097,2,0,0,3,9,3160,0,2014,0,98033,47.6709,-122.166,2200,8097,860000
+9206500250,9/9/14,4,4,3770,8899,2,0,0,3,10,2940,830,2006,0,98074,47.6476,-122.079,3300,8308,1100000
+7202300480,10/24/14,4,2.75,3500,6226,2,0,0,3,9,3500,0,2004,0,98053,47.6846,-122.045,3480,7222,775000
+7237450190,8/6/14,5,2.75,2710,4685,2,0,0,3,8,2710,0,2014,0,98038,47.3555,-122.062,2710,4449,430760
+8682320420,4/27/15,2,2.5,2170,6361,1,0,2,3,8,2170,0,2009,0,98053,47.7109,-122.017,2310,7419,755000
+6003500743,5/19/14,2,2.25,1540,958,3,0,0,3,9,1540,0,2007,0,98122,47.6179,-122.318,1410,958,640000
+328000182,5/1/15,3,3.25,1876,1531,3,0,0,3,9,1876,0,2009,0,98115,47.6864,-122.265,1876,1533,613500
+821079102,10/17/14,4,3.5,3720,213073,1,0,2,3,10,3720,0,2007,0,98010,47.3216,-121.94,2190,59241,780000
+1622049242,3/4/15,4,2.5,3148,9612,2,0,3,3,9,3148,0,2014,0,98198,47.3994,-122.311,3000,11475,550000
+7203120050,10/8/14,4,3.25,3240,4852,2,0,0,3,9,3240,0,2010,0,98053,47.695,-122.022,3320,5318,789500
+7853360250,7/10/14,5,3.5,3340,5000,2,0,0,3,8,2580,760,2012,0,98065,47.5168,-121.871,3420,5000,592000
+1327600190,4/10/15,4,2.5,2413,5701,2,0,0,3,8,2413,0,2014,0,98042,47.3731,-122.159,2380,5725,454950
+4187000250,4/13/15,4,2.5,2500,4500,2,0,0,3,7,2500,0,2010,0,98059,47.4928,-122.149,2230,4500,475000
+2902201300,12/29/14,2,1.75,1180,904,2,0,0,3,10,780,400,2014,0,98102,47.6396,-122.329,1380,3610,659000
+1635500250,11/24/14,4,2.5,2890,5801,2,0,0,3,9,2890,0,2005,0,98028,47.7349,-122.238,2890,6286,570000
+6031400094,2/26/15,5,3,2230,6551,1,0,0,3,7,1330,900,2014,0,98168,47.487,-122.32,2230,9476,347500
+6601200250,4/2/15,4,2.5,1767,4500,2,0,0,3,8,1767,0,2006,0,98001,47.2607,-122.25,1949,4636,205000
+9358001403,9/3/14,3,3.25,1450,1468,2,0,0,3,8,1100,350,2009,0,98126,47.5664,-122.37,1450,1478,380000
+4216500020,10/3/14,5,2.75,2930,7663,2,0,0,3,9,2930,0,2013,0,98056,47.5308,-122.184,2750,10335,718000
+1438000440,7/24/14,5,2.75,2710,4136,2,0,0,3,8,2710,0,2014,0,98059,47.4786,-122.123,2590,4136,515805
+6061500130,7/14/14,4,3.25,3600,18645,2,0,1,3,10,3000,600,2013,0,98059,47.5294,-122.154,3970,10957,1030000
+3862710050,11/13/14,3,2.5,1800,3265,2,0,0,3,8,1800,0,2014,0,98065,47.5338,-121.841,1800,3663,437718
+7604400114,8/14/14,4,2.5,2290,5515,2,0,0,3,8,2290,0,2006,0,98106,47.5518,-122.357,1380,5515,450000
+9828702649,10/28/14,3,2.5,1510,1178,2,0,0,3,8,1060,450,2007,0,98122,47.6181,-122.301,1510,1210,515000
+2946003947,3/2/15,2,2.5,1090,13444,2,0,0,3,7,1090,0,2007,0,98198,47.4166,-122.319,1380,6000,204000
+993000307,5/23/14,3,2,1270,1323,3,0,0,3,8,1270,0,2006,0,98103,47.6934,-122.342,1330,1323,360000
+3362400094,12/3/14,3,2.25,1540,1005,3,0,0,3,8,1540,0,2008,0,98103,47.6827,-122.346,1510,1501,550000
+7853380480,5/29/14,3,2.5,2930,6050,2,0,0,3,9,2930,0,2008,0,98065,47.5151,-121.883,2760,5765,650880
+3893100462,2/25/15,5,3.75,4360,8504,2,0,4,3,10,3530,830,2014,0,98033,47.6936,-122.19,2680,9000,1790000
+2326600130,2/25/15,4,3.5,3640,4983,2,0,3,3,9,2790,850,2014,0,98075,47.5619,-122.027,3270,14700,895900
+3424069008,6/6/14,4,2.5,2430,4747,2,0,0,3,8,2430,0,2008,0,98027,47.5285,-122.031,1930,7200,585000
+3277801586,5/8/15,3,2.25,1520,1464,2,0,0,3,8,1240,280,2010,0,98126,47.543,-122.375,1710,1464,380000
+5045700250,11/18/14,5,2.75,2730,5820,2,0,0,3,8,2730,0,2014,0,98059,47.4856,-122.154,2730,5700,565997
+3278603000,5/4/15,3,3,2440,2076,2,0,0,3,8,1930,510,2006,0,98126,47.5476,-122.37,2440,2310,459000
+7548800050,4/21/15,3,3.75,1580,1303,2,0,0,3,8,1340,240,2010,0,98144,47.5875,-122.315,1560,1294,550000
+1972201964,7/25/14,3,2.25,1420,983,3,0,0,3,8,1420,0,2006,0,98103,47.6533,-122.346,1530,1280,500000
+3395070980,3/27/15,5,3.25,2820,3275,2,0,0,3,8,2230,590,2006,0,98118,47.5339,-122.284,2610,3275,461500
+5710000005,5/22/14,4,5.5,5060,10320,2,0,0,3,11,5060,0,2008,0,98004,47.6245,-122.21,3010,10080,2150000
+9319800050,4/21/15,4,2.5,2650,5000,2,0,0,3,8,2650,0,2007,0,98116,47.5605,-122.396,1110,6250,790000
+3303700221,6/27/14,3,2.25,1490,1212,2,0,0,3,9,1040,450,2011,0,98112,47.6226,-122.313,1490,1337,735000
+3304300080,3/30/15,4,2.5,3060,7710,2,0,0,3,9,3060,0,2009,0,98059,47.4828,-122.136,3040,7840,588000
+642800130,5/13/15,3,3.25,3240,4185,2,0,0,3,8,2770,470,2011,0,98075,47.5794,-122.03,2660,4692,724500
+6192410480,7/9/14,3,2.75,2820,5348,2,0,0,3,9,2820,0,2008,0,98052,47.7073,-122.118,3140,5640,749000
+6127000480,9/18/14,5,3.5,4140,7642,2,0,0,3,8,4140,0,2003,0,98075,47.591,-122.008,3330,6953,720000
+6145601599,6/11/14,2,1.5,982,846,2,0,0,3,8,806,176,2006,0,98133,47.7034,-122.345,1010,3844,250000
+3630200460,3/27/15,3,2.75,2460,3600,2,0,0,3,9,2460,0,2007,0,98029,47.5409,-121.994,2570,3600,790000
+3845101100,1/21/15,4,2.5,2547,4800,2,0,0,3,9,2547,0,2014,0,98092,47.2592,-122.194,2598,4800,392440
+6792200066,7/25/14,4,2.25,1834,7460,2,0,0,3,8,1834,0,2012,0,98042,47.3568,-122.163,1979,9008,280000
+5317100294,11/13/14,4,4.5,3130,5126,3,0,0,3,10,2450,680,2014,0,98112,47.6239,-122.29,2540,7784,1330000
+8150600250,12/17/14,4,2.5,2730,4847,2,0,0,3,9,2730,0,2008,0,98126,47.549,-122.374,1250,4840,649000
+9376301112,10/31/14,2,2.5,1380,1329,2,0,0,3,8,1050,330,2008,0,98117,47.6903,-122.37,1360,3750,457000
+856000635,3/23/15,4,4.25,4700,10800,2,0,1,3,11,3910,790,2002,0,98033,47.6882,-122.214,2370,7680,2230000
+9320350130,8/23/14,3,3,2330,4284,2,0,0,3,9,1920,410,2004,0,98108,47.5547,-122.308,2330,3709,453000
+7694200380,9/22/14,3,2.5,1730,3600,2,0,0,3,8,1730,0,2014,0,98146,47.5014,-122.34,2030,3600,329780
+635000009,11/12/14,2,2.5,2350,2390,3,0,2,3,10,2000,350,2007,0,98144,47.5999,-122.286,1950,2390,1050000
+7853440050,5/5/15,5,4.5,4000,6713,2,0,0,3,9,4000,0,2015,0,98024,47.5254,-121.886,3690,6600,771005
+8563010130,7/25/14,3,2.5,3350,7752,1,0,0,3,9,2180,1170,2009,0,98008,47.6263,-122.099,2570,7988,1300000
+2767604592,6/19/14,3,3.25,1530,1612,3,0,0,3,8,1530,0,2006,0,98107,47.6706,-122.378,1530,1611,607500
+1332700020,1/16/15,2,2.25,1610,1968,2,0,0,4,7,1610,0,1979,0,98056,47.5184,-122.196,1950,1968,278000
+1442870440,7/2/14,4,2.75,2620,6178,2,0,0,3,8,2620,0,2013,0,98045,47.4823,-121.771,2790,6538,475000
+5347200179,8/14/14,3,2,1300,1920,2,0,0,3,8,850,450,2006,0,98126,47.5183,-122.376,1300,1344,270000
+8924100372,4/23/15,4,3.5,3590,5334,2,0,2,3,9,3140,450,2006,0,98115,47.6763,-122.267,2100,6250,1300000
+6666830170,8/11/14,4,2.5,2490,5647,2,0,0,3,8,2490,0,2014,0,98052,47.7043,-122.114,2970,5450,778983
+3336000052,10/22/14,3,2.5,1320,1780,2,0,0,3,7,880,440,2005,0,98118,47.528,-122.269,3040,6000,221000
+2895800380,8/21/14,4,2.25,1800,2752,2,0,0,3,8,1800,0,2014,0,98106,47.5165,-122.346,1800,2752,338800
+1042700250,8/4/14,5,1.5,3360,5225,2,0,0,3,9,3360,0,2014,0,98074,47.6072,-122.053,3230,5368,834995
+7787920250,5/1/15,4,2.5,3220,9328,2,0,0,3,8,3220,0,2006,0,98019,47.7273,-121.958,3020,9300,550000
+3026059363,10/31/14,3,3.5,2514,1559,2,0,0,3,8,2024,490,2007,0,98034,47.7044,-122.209,2090,10454,575000
+3590000050,9/23/14,4,2.75,3130,9711,2,0,0,3,9,3130,0,2014,0,98059,47.4823,-122.124,1570,10500,649000
+7853361410,5/30/14,4,2.5,2720,4738,2,0,0,3,8,2720,0,2012,0,98065,47.515,-121.869,2590,5740,545000
+1355300009,11/20/14,2,2.25,1390,916,2,0,0,3,8,1165,225,2007,0,98122,47.6168,-122.314,1415,1488,625000
+8835800010,12/23/14,4,4.5,4920,270236,2,0,3,3,10,3820,1100,2006,0,98045,47.4695,-121.775,4920,260924,1040000
+9268851680,5/16/14,3,2.5,2134,1984,2.5,0,0,3,8,2134,0,2008,0,98027,47.5402,-122.027,2170,1984,611000
+8096800500,3/17/15,3,2.5,1741,5701,2,0,0,3,8,1741,0,2012,0,98030,47.379,-122.184,2002,5700,300000
+7202261060,12/29/14,3,2.5,2560,5238,2,0,0,3,8,2560,0,2001,0,98053,47.6887,-122.04,2560,5185,577000
+7237450130,10/20/14,4,2.5,2220,3561,2,0,0,3,8,2220,0,2014,0,98038,47.3561,-122.063,2530,4449,349990
+3630130010,7/14/14,3,2.5,1910,4363,2,0,0,3,9,1910,0,2006,0,98029,47.5482,-121.996,1890,3732,650000
+567000381,3/28/15,2,1.5,980,853,2,0,0,3,7,820,160,2009,0,98144,47.5925,-122.295,1130,1270,378000
+1760650290,2/5/15,3,2.5,1950,4197,2,0,0,3,7,1950,0,2013,0,98042,47.3613,-122.081,2300,4178,313200
+1024069215,9/12/14,5,4.25,4150,12015,2,0,0,3,10,4150,0,2014,0,98075,47.5816,-122.021,3230,27520,1210000
+1105000373,5/6/15,2,1.5,1110,986,2,0,0,3,7,950,160,2009,0,98118,47.5427,-122.272,1110,3515,252500
+1773100561,3/5/15,3,2.5,1250,1150,2,0,0,3,8,1080,170,2009,0,98106,47.5582,-122.363,1250,1150,308000
+9510860840,5/15/14,4,2.5,3310,5404,2,0,0,3,9,3310,0,2004,0,98052,47.6635,-122.083,2600,4730,803100
+4187000660,6/18/14,4,2.5,2020,5501,2,0,0,3,7,2020,0,2010,0,98059,47.4937,-122.15,2020,5494,415000
+7203120020,8/14/14,4,3.5,3310,4850,2,0,0,3,9,3310,0,2010,0,98053,47.6954,-122.022,3320,5955,785000
+8559300020,5/28/14,4,2.5,2798,4473,2,0,0,3,9,2798,0,2012,0,98055,47.4295,-122.205,2358,4593,499950
+3356402705,3/17/15,4,2.5,1847,8000,2,0,0,3,7,1847,0,2008,0,98001,47.2874,-122.257,1767,8000,216000
+662440020,2/26/15,4,2.5,2420,4981,2,0,0,3,9,2420,0,2009,0,98038,47.3785,-122.023,2420,5000,380000
+255370020,11/6/14,4,2.5,2020,3600,2,0,0,3,7,2020,0,2012,0,98038,47.3535,-122.017,2210,3800,345000
+293810190,11/4/14,4,2.5,2400,6811,2,0,0,3,8,2400,0,2007,0,98059,47.4959,-122.15,2710,5314,456500
+8091670190,11/4/14,3,2.5,1760,5390,1,0,0,3,8,1760,0,2014,0,98038,47.3482,-122.042,2310,5117,382495
+1760650280,3/6/15,4,2.5,2110,4178,2,0,0,3,7,2110,0,2013,0,98042,47.3612,-122.081,2300,4142,324950
+6306800010,8/11/14,4,2.5,2692,8392,2,0,0,3,9,2692,0,2014,0,98030,47.3519,-122.197,2574,14446,436472
+982850010,5/30/14,3,2.25,1490,4522,2,0,0,3,7,1490,0,2009,0,98028,47.7611,-122.233,1580,4667,365250
+6705600020,3/24/15,5,3.25,3960,6352,2,0,0,3,10,3960,0,2014,0,98075,47.5806,-122.055,2930,9875,919990
+9478550430,4/29/15,4,2.5,1740,4642,2,0,0,3,7,1740,0,2012,0,98042,47.3686,-122.117,1950,4642,316475
+5498100010,3/24/15,4,2.5,1940,4517,1,0,0,3,8,1190,750,2010,0,98028,47.776,-122.26,1910,10410,425000
+7625702901,3/11/15,2,1,970,3279,2,0,0,3,7,790,180,2007,0,98136,47.5469,-122.383,1150,1351,302860
+301401410,7/22/14,3,2.5,1852,4000,2,0,0,3,7,1852,0,2014,0,98002,47.3455,-122.21,2166,4000,298000
+251500080,8/26/14,4,4,4810,18851,2,0,3,3,11,4810,0,2007,0,98004,47.6364,-122.214,3970,19929,3200000
+521049227,12/1/14,4,4,5635,9695,2,0,3,3,10,4360,1275,2011,0,98003,47.3389,-122.334,3726,9765,950000
+100300500,11/21/14,3,2.5,1520,3041,2,0,0,3,7,1520,0,2009,0,98059,47.4874,-122.152,1820,3229,333000
+8669160460,3/5/15,3,2.5,2099,4275,2,0,0,3,7,2099,0,2010,0,98002,47.3521,-122.211,2099,4275,289950
+2810100007,5/6/15,3,2.25,1250,811,3,0,0,3,8,1250,0,2014,0,98136,47.5419,-122.388,1250,1232,419950
+6749700006,7/15/14,2,1.5,1090,1183,3,0,0,3,8,1090,0,2008,0,98103,47.6974,-122.349,1110,1384,306000
+1085623730,11/29/14,4,2.5,3216,5902,2,0,0,3,9,3216,0,2014,0,98030,47.3425,-122.179,2815,4916,498445
+6666830430,6/20/14,4,2.5,2970,4400,2,0,0,3,8,2970,0,2014,0,98052,47.705,-122.114,3010,4892,775950
+7852110380,7/3/14,3,2.5,2610,6405,2,0,0,3,8,2610,0,2001,0,98065,47.5373,-121.874,2580,6285,605000
+8080400177,9/9/14,2,1.75,1340,1368,2,0,0,3,7,1060,280,2006,0,98122,47.618,-122.311,2480,1707,520000
+293070010,10/28/14,4,2.75,3300,4987,2,0,0,3,9,3300,0,2014,0,98074,47.6175,-122.056,3520,5453,849990
+9144100007,6/4/14,3,2,1630,7599,1,0,0,3,10,1630,0,2006,0,98117,47.6981,-122.376,2030,7599,767450
+7234601142,8/8/14,3,2.25,1590,929,2,0,0,3,9,1060,530,2014,0,98122,47.6172,-122.31,1510,1193,665000
+1972200426,9/18/14,2,2.75,1310,1268,3.5,0,0,3,8,1310,0,2007,0,98103,47.6534,-122.355,1350,1288,525000
+7768800280,7/22/14,4,3.5,3600,5697,2,0,0,3,9,2940,660,2014,0,98075,47.5755,-122.071,3490,5911,870515
+9512200420,7/21/14,4,2.5,2154,4153,2,0,0,3,9,2154,0,2012,0,98058,47.4557,-122.13,2154,4091,390000
+7132300525,4/11/15,3,1.75,1530,825,3,0,0,3,8,1530,0,2015,0,98144,47.5929,-122.308,1580,1915,500000
+7515000143,8/5/14,3,2.25,1360,1041,2,0,0,3,8,1094,266,2006,0,98117,47.6925,-122.375,1522,1382,399950
+3395070440,2/9/15,3,2.5,1320,2480,2,0,0,3,7,1320,0,2005,0,98118,47.536,-122.284,1320,3240,305000
+629650380,1/23/15,4,2.5,1660,6724,2,0,0,3,7,1660,0,2009,0,98001,47.259,-122.256,1544,6054,255000
+1115600130,9/30/14,4,2.5,2891,6499,2,0,0,3,9,2891,0,2014,0,98001,47.3359,-122.257,2550,8383,415000
+8562790950,3/27/15,3,2.5,2340,2155,2,0,0,3,10,2120,220,2012,0,98027,47.53,-122.073,2640,2680,716500
+3413700130,6/25/14,3,2.5,2320,2267,3,0,0,3,8,2320,0,2009,0,98177,47.7027,-122.359,1240,1883,425000
+9532000170,2/17/15,4,2.5,2190,3855,2,0,0,3,8,2190,0,2010,0,98011,47.7705,-122.169,2190,3600,540000
+255450380,8/4/14,3,2.5,2060,4742,2,0,0,3,8,2060,0,2014,0,98038,47.3706,-122.017,2370,4725,324747
+7203140420,1/28/15,3,2.5,1740,4145,2,0,0,3,7,1740,0,2010,0,98053,47.6875,-122.015,1740,4045,385000
+1760650670,8/12/14,3,2.25,1400,3825,2,0,0,3,7,1400,0,2012,0,98042,47.3596,-122.082,2110,3825,270000
+5556300098,6/12/14,5,4,4410,14380,2,0,0,3,11,4410,0,2006,0,98052,47.6463,-122.121,2720,11454,1240000
+8129700743,4/16/15,3,2.5,1780,1647,2,0,0,3,8,1080,700,2008,0,98103,47.6597,-122.355,2000,1741,672000
+3023000050,1/29/15,3,2.5,1760,10137,2,0,0,3,8,1760,0,2010,0,98038,47.355,-122.059,2000,6935,310000
+518500480,8/11/14,3,3.5,4410,10756,2,1,4,3,11,3430,980,2014,0,98056,47.5283,-122.205,3550,5634,3000000
+1725059127,2/25/15,6,4.25,5550,11547,2,0,2,3,11,4270,1280,2014,0,98033,47.6547,-122.202,3480,11547,2350000
+9511120050,6/27/14,3,2.5,2432,9391,2,0,2,3,9,2432,0,2005,0,98001,47.3453,-122.267,2912,8932,427000
+8943600430,4/23/15,3,2.5,2283,3996,2,0,0,3,8,2283,0,2008,0,98031,47.4221,-122.192,1760,3992,389950
+9429400170,6/25/14,3,2.5,1860,3730,2,0,0,3,8,1860,0,2012,0,98019,47.7442,-121.984,2110,4509,309620
+3845101150,7/1/14,4,2.5,2701,4500,2,0,0,3,9,2701,0,2014,0,98092,47.2586,-122.194,2570,4800,399895
+1085623560,2/2/15,4,2.5,2930,4875,2,0,0,3,9,2930,0,2014,0,98030,47.3421,-122.179,2815,4900,442515
+263000255,12/2/14,3,2.25,1540,1561,3,0,0,3,8,1540,0,2010,0,98103,47.6991,-122.346,1540,1547,375000
+7299600130,7/2/14,3,2.5,2242,4500,2,0,0,3,8,2242,0,2014,0,98092,47.2583,-122.198,2009,4500,309780
+7853320280,3/12/15,3,2.5,1950,4345,2,0,0,3,7,1950,0,2007,0,98065,47.5202,-121.873,2260,4345,425000
+4253400098,5/1/15,2,3,1160,1073,2,0,0,3,7,880,280,2007,0,98144,47.5788,-122.315,1250,4812,405000
+3814900380,7/19/14,3,2.5,2060,5115,2,0,0,3,9,2060,0,2014,0,98092,47.3261,-122.163,2648,4500,356250
+6821101732,2/19/15,3,2.25,1230,875,3,0,0,3,8,1230,0,2013,0,98199,47.6521,-122.4,1760,5664,550000
+3644100086,5/5/14,2,1.5,1160,1438,2,0,0,3,7,1160,0,2001,0,98144,47.5917,-122.295,1220,1740,340000
+7237450080,8/23/14,4,2.5,2245,4301,2,0,0,3,8,2245,0,2014,0,98038,47.3555,-122.063,2530,4478,362865
+6389970010,3/23/15,4,3.5,4120,12626,2,0,1,3,11,3970,150,2014,0,98034,47.7089,-122.245,4120,11913,1360000
+9578090050,5/5/14,4,2.5,3400,9692,2,0,0,3,9,3400,0,2007,0,98052,47.708,-122.109,3070,7375,830000
+1489300005,8/1/14,5,3.75,4270,7500,2,0,0,3,10,3210,1060,2014,0,98033,47.6845,-122.207,2410,8350,1600000
+7768800290,3/4/15,4,3.5,2890,5911,2,0,0,3,9,2370,520,2014,0,98075,47.5754,-122.071,3490,6093,855000
+1245003220,8/19/14,5,3.5,3220,8000,2,0,0,3,9,2900,320,2008,0,98033,47.6834,-122.2,2100,9680,1210000
+5608000010,8/11/14,4,3.5,4010,15365,2,0,1,3,11,4010,0,2006,0,98027,47.5528,-122.093,3550,13429,1390000
+5379805260,3/26/15,4,3.5,2260,30250,2,0,0,3,7,2260,0,2013,0,98188,47.4493,-122.281,1270,16350,400200
+3278600670,5/23/14,2,1,1140,1730,1.5,0,0,3,8,1010,130,2007,0,98126,47.5494,-122.372,1360,1730,235000
+2781240050,5/7/15,3,2,1640,4714,1,0,0,3,8,1640,0,2009,0,98038,47.3539,-122.021,1770,4802,349950
+7502800050,7/9/14,4,2.75,3510,9400,2,0,0,3,9,3510,0,2014,0,98059,47.4827,-122.131,3550,9429,659950
+9544700500,5/8/14,3,2.75,3010,1842,2,0,0,3,9,3010,0,2011,0,98075,47.5836,-121.994,2950,4200,785000
+2771603314,4/16/15,2,2.25,1060,925,2,0,0,3,8,980,80,2006,0,98199,47.6386,-122.388,1020,4000,475000
+4181200680,5/27/14,3,2.5,1658,2700,2,0,0,3,8,1658,0,2014,0,98198,47.3667,-122.307,1658,2700,263900
+9347300010,5/1/15,3,2.5,1960,3540,2,0,0,3,8,1960,0,2012,0,98038,47.3568,-122.055,1840,3825,342000
+255450020,9/18/14,3,2.5,2420,4725,2,0,0,3,8,2420,0,2014,0,98038,47.371,-122.018,2370,4200,367899
+7230200585,2/4/15,3,3.5,3420,23786,1.5,0,0,3,9,3420,0,2014,0,98059,47.4739,-122.11,1590,23774,657044
+9828702771,11/13/14,2,1.5,893,965,2,0,0,3,8,893,0,2007,0,98122,47.6187,-122.301,1340,1436,359950
+9492500170,7/23/14,4,2.75,3020,7203,2,0,0,3,9,3020,0,2014,0,98033,47.6948,-122.178,3010,7215,879950
+9265880170,8/26/14,4,2.5,2470,5954,2,0,0,3,8,2470,0,2013,0,98028,47.7685,-122.236,2470,4800,550000
+7299600920,12/9/14,4,2.5,2009,4800,2,0,0,3,8,2009,0,2012,0,98092,47.2586,-122.2,1798,4800,279000
+8690600050,7/18/14,3,2.5,1530,1116,2.5,0,0,3,7,1530,0,2005,0,98028,47.7385,-122.25,1530,7780,255000
+1176001119,2/24/15,3,1.75,1590,1113,3,0,0,3,8,1590,0,2014,0,98107,47.6691,-122.402,1520,1357,609500
+3449850050,6/20/14,5,3,2630,3149,2,0,0,3,8,1670,960,2013,0,98056,47.5065,-122.171,2240,4825,420000
+9211000170,10/8/14,4,2.5,3230,7187,2,0,0,3,9,3230,0,2008,0,98059,47.4995,-122.15,2950,6537,570000
+6056111350,5/12/15,3,2.25,1430,2343,2,0,0,3,8,1430,0,2012,0,98108,47.5648,-122.294,1270,1916,439000
+7299601630,11/8/14,3,2.5,2242,5744,2,0,0,3,8,2242,0,2012,0,98092,47.2597,-122.199,2009,5712,310000
+7133300380,2/9/15,4,2.5,2500,4000,2,0,0,3,8,2500,0,2014,0,98144,47.5902,-122.311,1480,4300,635000
+2770601775,11/28/14,3,2.5,1230,922,2,0,0,3,8,1080,150,2009,0,98199,47.6518,-122.384,1230,1237,399950
+3630200630,8/5/14,4,2.5,3020,3600,2.5,0,0,3,9,3020,0,2009,0,98029,47.5407,-121.993,2570,3600,805000
+4385700250,4/7/15,4,3.5,3480,4000,2,0,0,3,9,2460,1020,2015,0,98112,47.6356,-122.281,2620,4000,1800000
+6430500182,4/3/15,4,3,3330,7650,1,0,0,3,9,1830,1500,2008,0,98103,47.6889,-122.352,1200,3876,1210000
+8029770190,10/15/14,4,2.5,3400,4840,2,0,0,3,10,3190,210,2006,0,98059,47.5066,-122.146,3400,5710,745000
+5393600507,6/24/14,2,1.5,830,1119,2,0,0,3,7,830,0,2005,0,98144,47.5828,-122.314,1480,3622,329445
+207700050,10/15/14,5,3,3110,4464,2,0,0,3,8,3110,0,2007,0,98011,47.7719,-122.168,2450,4221,588000
+8138870470,7/7/14,3,2.5,1910,2091,2,0,0,3,8,1910,0,2014,0,98029,47.5445,-122.013,1630,1546,494815
+7853370020,10/14/14,3,2.75,3230,5250,2,0,0,3,9,2680,550,2014,0,98065,47.5196,-121.878,2710,5250,591975
+3304300380,1/8/15,5,2.75,3380,8179,2,0,0,3,9,3380,0,2011,0,98059,47.4827,-122.135,2840,8179,600000
+3528960020,7/8/14,3,2.75,2830,3496,2,0,0,3,8,2830,0,2012,0,98029,47.5606,-122.011,2160,3501,673000
+1853080840,2/11/15,5,3.5,3700,7055,2,0,0,3,9,3700,0,2014,0,98074,47.5929,-122.057,3170,6527,889950
+7852130460,3/25/15,4,3,2520,4104,2,0,0,3,7,2520,0,2002,0,98065,47.5352,-121.88,2510,5015,500000
+2768301357,10/1/14,3,2.25,1530,1396,2,0,0,3,8,1240,290,2007,0,98107,47.666,-122.367,1690,2500,500000
+8562710250,5/5/14,4,4.25,4420,5750,2,0,0,3,10,3410,1010,2006,0,98027,47.5404,-122.073,4420,5750,890000
+6824100014,4/29/15,3,3,1460,1180,3,0,0,3,8,1460,0,2006,0,98117,47.6998,-122.367,1460,1224,437000
+7905200061,9/5/14,3,2.25,1450,1486,2,0,0,3,8,1160,290,2006,0,98116,47.5694,-122.387,1370,1437,419700
+3524039228,7/23/14,3,2,1160,3441,1,0,0,4,6,580,580,1930,0,98136,47.5314,-122.392,1160,4000,394000
+2781240040,8/6/14,3,2,1640,4802,1,0,0,3,8,1640,0,2010,0,98038,47.3538,-122.021,1940,4802,342000
+1222029064,6/26/14,3,1.75,1444,249126,1.5,0,0,3,7,1444,0,2008,0,98070,47.4104,-122.486,1760,224770,420000
+9523100730,5/23/14,3,2.5,1620,1173,3,0,4,3,8,1470,150,2008,0,98103,47.6681,-122.355,1620,1505,580000
+5649600464,3/27/15,2,1.5,1100,1228,2,0,0,3,7,900,200,2007,0,98118,47.5538,-122.282,1340,1380,343000
+7548301050,4/2/15,2,1.5,1340,1402,2,0,0,3,8,1120,220,2008,0,98144,47.588,-122.304,1340,1213,390000
+9542840450,8/11/14,3,1.5,1450,4694,2,0,0,3,7,1450,0,2011,0,98038,47.3654,-122.021,1870,4198,274000
+126039467,1/14/15,4,2.5,3040,7200,2,0,0,3,9,3040,0,2008,0,98177,47.7747,-122.366,2360,8245,700000
+7936000463,4/16/15,4,2.5,2560,7210,2,0,0,3,9,2560,0,2006,0,98136,47.5535,-122.395,2160,10439,838000
+3021059304,9/17/14,6,3,2744,9926,2,0,0,3,7,2744,0,2006,0,98002,47.2773,-122.216,2470,9926,300000
+3362401758,9/3/14,3,2.25,1420,990,3,0,0,3,8,1420,0,2008,0,98103,47.6801,-122.348,1350,1415,467000
+886000090,3/2/15,2,1,700,7457,1,0,0,3,6,700,0,1943,0,98108,47.5348,-122.295,1500,7130,395000
+1196003740,9/24/14,5,4.25,4110,42755,2,0,2,3,10,2970,1140,2000,0,98023,47.3375,-122.337,2730,12750,734000
+5045700090,1/6/15,5,2.75,2670,4780,2,0,0,3,8,2670,0,2013,0,98059,47.4866,-122.155,2560,5380,480000
+1604601801,2/17/15,3,2.75,2130,1400,2,0,0,3,9,1080,1050,2010,0,98118,47.5661,-122.29,1520,3132,539000
+5057100090,5/5/15,5,2.75,3078,6371,2,0,0,3,9,3078,0,2014,0,98042,47.3587,-122.163,1979,19030,459950
+3869900146,10/30/14,2,1,840,892,2,0,0,3,7,840,0,2006,0,98136,47.5396,-122.387,1030,1007,306500
+3862710180,3/26/15,3,2.5,1800,2731,2,0,0,3,8,1800,0,2014,0,98065,47.5342,-121.841,1800,3265,408474
+1023059246,5/14/14,3,2.75,2580,5200,2,0,0,3,8,2580,0,2008,0,98059,47.496,-122.151,2700,5602,437000
+6056100150,6/23/14,3,1.5,1270,2356,2,0,0,3,7,1270,0,2012,0,98108,47.5671,-122.298,1490,2175,160797
+3342700464,1/7/15,4,3.5,3065,5440,3,0,0,3,9,3065,0,2014,0,98056,47.524,-122.2,2210,8400,729000
+3026059362,10/31/14,3,2.5,1861,1587,2,0,0,3,8,1578,283,2007,0,98034,47.7043,-122.209,2090,10454,499000
+1327600150,10/16/14,4,2.75,2260,5705,2,0,0,3,8,2260,0,2014,0,98042,47.3726,-122.159,2260,5727,359950
+2895730540,12/10/14,5,3.25,4150,7100,2,0,0,3,10,4150,0,2013,0,98074,47.6026,-122.06,3560,7214,929000
+2768200209,10/6/14,2,2.5,1500,1174,2,0,0,3,8,1140,360,2014,0,98107,47.6689,-122.363,1550,1519,529950
+9268851380,4/3/15,3,2.25,1620,998,2.5,0,0,3,8,1540,80,2012,0,98027,47.5394,-122.027,1620,1068,461000
+7625703007,10/14/14,2,1.5,830,1325,2,0,0,3,7,830,0,2005,0,98136,47.5472,-122.384,1310,1485,271115
+7202280580,1/6/15,4,2.5,3120,5137,2,0,0,3,7,3120,0,2003,0,98053,47.6842,-122.04,2755,5137,653000
+1972202187,10/24/14,3,2.5,1870,1058,3,0,0,3,8,1380,490,2007,0,98103,47.6512,-122.345,1440,1136,565000
+2767600985,12/4/14,3,2.25,1240,1250,3,0,0,3,8,1240,0,2014,0,98107,47.6748,-122.377,1470,1250,529950
+5631501202,3/26/15,4,2.5,2820,5612,2,0,0,3,9,2820,0,2007,0,98028,47.7477,-122.236,1620,14881,585000
+1972200556,7/3/14,3,1.75,1630,1526,3,0,0,3,8,1630,0,2014,0,98103,47.6536,-122.354,1570,1274,609000
+301400930,6/18/14,3,2.25,1584,2800,2,0,0,3,7,1584,0,2012,0,98002,47.3454,-122.214,1584,2800,267000
+9265880040,5/9/14,4,2.5,2840,4500,2,0,0,3,8,2840,0,2012,0,98028,47.7678,-122.237,2840,4939,557000
+7853280610,11/17/14,4,3.25,3910,6293,2,0,0,3,9,3130,780,2006,0,98065,47.5389,-121.86,4410,6015,709950
+1972200847,7/18/14,3,2.5,1730,1301,3,0,0,3,9,1730,0,2011,0,98103,47.653,-122.352,1330,1240,625000
+8562790940,12/23/14,3,2.75,1840,2060,2,0,0,3,10,1700,140,2013,0,98027,47.53,-122.073,2590,2680,599000
+1623089165,5/6/15,4,3.75,4030,503989,2,0,0,3,10,4030,0,2008,0,98045,47.4807,-121.795,2110,71874,920000
+6788200596,10/16/14,4,3.5,3440,3800,3,0,0,3,9,3440,0,2014,0,98112,47.6408,-122.307,1760,3800,1290000
+1760650610,3/30/15,4,2.5,2110,3825,2,0,0,3,7,2110,0,2012,0,98042,47.3602,-122.082,2110,3825,324500
+7853360850,1/16/15,3,2.5,2430,5866,2,0,0,3,7,2430,0,2009,0,98065,47.5158,-121.871,2380,5866,471500
+2526069092,8/8/14,4,3.75,4690,207141,2,0,0,3,10,4030,660,2007,0,98019,47.7072,-121.983,2890,200527,1020000
+2424059061,11/11/14,4,3.5,3500,43560,2,0,0,3,9,2850,650,2014,0,98006,47.5481,-122.103,3640,40545,998000
+7661600206,1/29/15,4,2.5,2070,8685,2,0,0,3,7,2070,0,2006,0,98188,47.4697,-122.267,2170,9715,262000
+8149600065,4/1/15,4,3.5,3350,6350,2,0,2,3,8,2610,740,2009,0,98116,47.5602,-122.39,1820,6350,844000
+6666830120,6/24/14,4,2.5,2440,4850,2,0,0,3,8,2440,0,2013,0,98052,47.7043,-122.114,2970,5450,745641
+3034200087,12/12/14,5,3,3010,7357,2,0,0,3,9,3010,0,2008,0,98133,47.7226,-122.33,2370,8050,659950
+255450410,8/4/14,3,2.5,2060,4200,2,0,0,3,8,2060,0,2014,0,98038,47.3706,-122.018,2370,4200,339989
+3438501327,5/4/15,2,2.5,1570,2399,2,0,0,3,7,1180,390,2009,0,98106,47.5488,-122.364,1590,2306,352500
+9828702389,5/13/14,3,2.5,1580,1161,2,0,0,3,8,1010,570,2008,0,98112,47.6206,-122.299,1680,1177,525000
+8691440330,9/29/14,5,3.5,4280,6530,2,0,3,3,10,4280,0,2014,0,98075,47.5941,-121.973,3960,6863,1140000
+1085623740,8/12/14,5,3.5,2815,4900,2,0,0,3,9,2815,0,2011,0,98030,47.3424,-122.179,2798,4900,491000
+1424069110,7/18/14,4,2.5,2620,6114,2,0,0,3,9,2620,0,2011,0,98029,47.5603,-122.013,2620,5808,675000
+993001914,1/6/15,3,2.25,1250,1033,3,0,0,3,8,1250,0,2007,0,98103,47.6907,-122.343,1250,1150,344000
+9211010220,11/4/14,4,2.5,3250,4500,2,0,0,3,8,3250,0,2008,0,98059,47.4944,-122.15,3030,4598,530000
+2143701015,12/10/14,4,3.25,2510,7686,2,0,0,3,9,2510,0,2003,0,98055,47.4785,-122.228,2510,6732,290500
+6056111430,1/13/15,2,1.75,1270,1685,2,0,0,3,8,1270,0,2012,0,98108,47.5646,-122.295,1270,1843,335000
+1925059254,5/7/15,5,4,6670,16481,2,0,0,3,12,4960,1710,2007,0,98004,47.6409,-122.221,4800,16607,3000000
+3278606200,9/19/14,3,2.5,1580,3075,2,0,0,3,8,1580,0,2013,0,98126,47.545,-122.368,1710,2934,379000
+3126049501,7/17/14,3,1.5,1360,2030,3,0,0,3,8,1360,0,2008,0,98103,47.6961,-122.349,1360,1167,385000
+4305600360,2/25/15,4,2.5,2400,9612,1,0,0,3,8,1230,1170,1962,2009,98059,47.4799,-122.127,2430,5539,500012
+6632300212,5/5/14,3,3,1571,2017,3,0,0,3,8,1571,0,2008,0,98125,47.7338,-122.309,1520,1497,366750
+1189000492,6/6/14,2,2,1405,1073,2,0,0,3,8,1140,265,2007,0,98122,47.612,-122.295,1405,3000,405000
+3319500628,2/12/15,3,1.5,1010,1546,2,0,0,3,8,1010,0,1971,2014,98144,47.5998,-122.311,1010,1517,356999
+2436700625,4/17/15,2,2.5,1450,1281,2,0,0,3,8,1220,230,2006,0,98105,47.665,-122.285,1440,1281,590000
+3679400474,11/4/14,3,1.75,1420,1361,2,0,0,3,7,960,460,2014,0,98108,47.5684,-122.314,1340,1343,294000
+7203190110,4/26/15,4,2.5,2650,4644,2,0,0,3,8,2650,0,2013,0,98053,47.6945,-122.018,2640,5099,731500
+1853080850,6/6/14,5,2.75,3030,7679,2,0,0,3,9,3030,0,2014,0,98074,47.593,-122.057,3080,6341,837219
+1125079111,4/15/15,4,5.5,6530,871200,2,0,2,3,11,6530,0,2008,0,98014,47.664,-121.878,1280,858132,1600000
+518500610,6/16/14,3,2.75,2670,3738,1,0,0,3,10,1720,950,2013,0,98056,47.5299,-122.203,2610,3734,798800
+293670040,10/8/14,2,2.5,1170,809,2,0,0,3,9,1170,0,2007,0,98103,47.6875,-122.339,1170,1121,482500
+3303970100,3/6/15,4,2.5,3260,26772,2,0,0,3,9,3260,0,2007,0,98027,47.5115,-122.031,3260,14491,820000
+3834000594,7/11/14,3,1.5,1480,1722,3,0,0,3,7,1480,0,2007,0,98125,47.728,-122.292,1480,5764,319000
+3342100569,8/13/14,3,2.5,2700,6947,2,0,3,3,9,2700,0,2013,0,98056,47.5172,-122.208,2500,6947,950000
+7237501380,5/7/15,4,3.5,4640,13404,2,0,0,3,10,4640,0,2007,0,98059,47.531,-122.134,4690,13590,1270000
+2325300093,7/7/14,3,2.5,1601,2491,3,0,0,3,7,1536,65,2007,0,98125,47.719,-122.317,1420,1156,378000
+9808100150,4/2/15,5,3.75,5350,15360,1,0,1,3,11,3040,2310,2008,0,98004,47.648,-122.218,3740,15940,3350000
+3332500085,10/27/14,3,2.5,2540,5237,2,0,0,3,8,2540,0,2011,0,98118,47.5492,-122.276,1800,4097,489950
+3869900150,4/27/15,2,1.75,1030,1106,2,0,0,3,7,765,265,2006,0,98136,47.5397,-122.387,1030,1066,345000
+2011400401,2/26/15,3,2.5,2730,7136,2,0,0,3,8,2730,0,2012,0,98198,47.3938,-122.321,2130,8932,510000
+9578501030,7/29/14,4,2.5,3172,5033,2,0,0,3,8,3172,0,2014,0,98023,47.2961,-122.348,2704,5232,432500
+8029770410,4/20/15,4,2.5,3160,8530,2,0,0,3,9,3160,0,2006,0,98059,47.5075,-122.148,3160,6460,650000
+6639900242,10/3/14,4,2.5,2850,12429,2,0,0,3,9,2850,0,2008,0,98033,47.6915,-122.177,2540,12000,750000
+2919700735,4/27/15,4,3.5,2780,3100,2,0,0,3,8,2120,660,2014,0,98117,47.6886,-122.364,1740,3600,870000
+8691440410,12/15/14,4,3.5,3860,6543,2,0,0,3,10,3860,0,2014,0,98075,47.5934,-121.974,3760,6888,900000
+2902201301,12/16/14,2,1.75,1180,900,2,0,0,3,10,780,400,2014,0,98102,47.6395,-122.329,1380,3610,664950
+291310150,6/2/14,3,2.25,1410,1290,2,0,0,3,7,1290,120,2004,0,98027,47.5345,-122.069,1490,1380,391000
+323079101,1/23/15,4,3.5,6370,205603,2,0,0,3,12,6370,0,2008,0,98027,47.5016,-121.905,1490,33580,1800000
+5057100110,5/14/15,5,3,3223,6371,2,0,0,3,9,3223,0,2014,0,98042,47.3584,-122.163,1979,9008,479349
+9268850940,12/23/14,4,3.25,2600,2074,2,0,0,3,8,2150,450,2011,0,98027,47.5402,-122.028,2510,2074,661000
+993000315,10/2/14,3,3.25,1380,1234,3,0,0,3,8,1380,0,2006,0,98103,47.6935,-122.342,1370,1282,379000
+9268851800,5/5/14,3,2.25,1620,998,2.5,0,0,3,8,1540,80,2010,0,98027,47.5401,-122.027,1620,1299,415000
+4310702837,12/1/14,3,3.25,1370,1227,3,0,0,3,8,1370,0,2007,0,98103,47.6964,-122.341,1370,1236,375000
+4310703083,5/23/14,3,2,1220,1186,3,0,0,3,8,1220,0,2007,0,98103,47.6972,-122.341,1280,1251,355000
+1890000166,9/5/14,3,2.5,1280,1889,3,0,0,3,8,1280,0,2009,0,98105,47.6619,-122.324,1450,1889,540000
+7904700146,7/24/14,2,1.5,770,850,2,0,0,3,7,770,0,2006,0,98116,47.5644,-122.388,1350,915,290000
+1931300308,5/20/14,3,2.5,1210,1200,3,0,0,3,8,1210,0,2008,0,98103,47.6543,-122.345,1210,1200,500000
+8091670730,9/2/14,4,2.5,2890,6322,2,0,0,3,8,2890,0,2011,0,98038,47.3494,-122.044,2380,5738,416000
+3278612370,8/11/14,3,2.5,1580,2765,2,0,0,3,8,1580,0,2011,0,98126,47.5444,-122.369,1580,1820,349900
+7600065,6/5/14,3,2.25,1530,1245,2,0,0,3,9,1050,480,2014,0,98122,47.6018,-122.297,1530,2307,465000
+3630200900,6/30/14,4,2.5,3670,7680,2.5,0,0,3,10,3670,0,2007,0,98029,47.5401,-121.993,3130,6112,950000
+3278611450,3/26/15,4,2.25,1850,2340,2.5,0,0,3,8,1850,0,2014,0,98126,47.543,-122.372,1850,2340,496800
+2026049184,3/20/15,4,2.5,2440,6581,2,0,0,3,8,2440,0,2014,0,98133,47.7321,-122.334,1480,7432,680000
+9103000455,4/24/15,4,3.25,2190,4265,2,0,0,3,9,1540,650,2015,0,98122,47.6178,-122.29,1730,4265,920000
+8691440220,2/2/15,5,4,4360,8030,2,0,0,3,10,4360,0,2015,0,98075,47.5923,-121.973,3570,6185,1290000
+7202300540,7/1/14,4,2.75,3990,6637,2,0,0,3,9,3990,0,2003,0,98053,47.6835,-122.045,3500,7074,825000
+1453601038,10/2/14,3,2.5,1270,1283,3,0,0,3,7,1270,0,2007,0,98125,47.7209,-122.291,1270,1512,292000
+9211010330,4/9/15,4,2.5,3340,6924,2,0,0,3,8,3340,0,2009,0,98059,47.495,-122.149,3030,6119,576000
+1972201773,3/13/15,2,2,1500,761,3,0,3,3,8,1500,0,2008,0,98103,47.6522,-122.346,1360,1527,670000
+7974200948,5/20/14,4,3.5,3120,5086,2,0,0,3,9,2480,640,2008,0,98115,47.6762,-122.288,1880,5092,953007
+2700200040,2/23/15,4,2.5,2480,4334,2,0,0,3,8,2480,0,2012,0,98038,47.3826,-122.036,2480,5632,399000
+7625702264,4/27/15,2,2,1110,1155,3,0,0,3,7,980,130,2008,0,98136,47.5496,-122.388,1110,1089,399000
+2428100100,11/17/14,4,2.75,2760,5670,2,0,0,3,10,2760,0,2014,0,98075,47.5819,-122.047,2760,6600,847093
+1176001123,2/6/15,3,2.5,1510,1493,3,0,0,3,8,1510,0,2014,0,98107,47.669,-122.402,1530,1357,599950
+3052700472,8/13/14,3,2.5,1460,1614,2,0,0,3,8,1180,280,2007,0,98117,47.6781,-122.374,1380,1402,499000
+1623089086,10/15/14,4,2.75,3980,285318,2,0,2,3,9,3980,0,2006,0,98045,47.4803,-121.795,2100,105415,760000
+2311400145,10/29/14,4,3.75,3320,8234,2,0,0,3,10,3320,0,2014,0,98004,47.5963,-122.2,1560,8240,1700000
+8895800090,5/12/14,4,3.25,3270,5187,2,0,0,3,9,3110,160,2014,0,98052,47.6966,-122.133,3600,5825,1030000
+847100021,5/20/14,4,2.5,2670,8765,2,0,0,3,9,2670,0,2006,0,98059,47.4876,-122.146,2880,8765,515000
+291310120,12/9/14,3,2.25,1410,1332,2,0,0,3,7,1290,120,2004,0,98027,47.5345,-122.069,1445,1290,355000
+301401390,8/5/14,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.3452,-122.21,2166,4000,319900
+7519001068,5/27/14,3,3.5,1600,1431,2,0,0,3,8,1240,360,2006,0,98117,47.6865,-122.363,1500,4120,460000
+7203101590,1/8/15,2,1,1290,3383,2,0,0,3,7,1290,0,2008,0,98053,47.6968,-122.025,1290,2828,305000
+7299600530,3/17/15,3,2.5,1608,4818,2,0,0,3,8,1608,0,2012,0,98092,47.2583,-122.203,2009,5200,280000
+7625703357,2/27/15,2,2.25,1300,2104,2,0,0,3,8,1010,290,2011,0,98136,47.5477,-122.388,1430,1850,394950
+7889601270,8/21/14,4,3.5,2530,3000,2,0,0,3,8,1850,680,2014,0,98146,47.4919,-122.336,1470,6000,382000
+4083306553,4/22/15,3,2.5,1390,1411,3,0,0,3,8,1390,0,2008,0,98103,47.6485,-122.334,1350,1266,560000
+9828701508,5/20/14,3,2.25,1640,1204,3,0,0,3,8,1640,0,2014,0,98112,47.6196,-122.297,1630,3136,772000
+8946390150,7/22/14,4,2.5,2229,5723,2,0,0,3,7,2229,0,2012,0,98032,47.3693,-122.286,2738,5742,324950
+8648900040,7/9/14,3,2.5,1790,3078,2,0,0,3,8,1790,0,2010,0,98027,47.5638,-122.094,1890,3078,530000
+4092300211,10/24/14,3,2.25,990,736,2.5,0,0,3,8,880,110,2009,0,98105,47.6605,-122.319,1030,1201,384000
+3343902510,6/11/14,5,2.75,3240,6863,2,0,0,3,10,3240,0,2013,0,98056,47.5033,-122.193,2360,6002,719950
+2919700107,8/11/14,2,2.5,1280,819,2,0,0,3,8,1060,220,2006,0,98103,47.6905,-122.364,1290,2900,319950
+2781280230,1/28/15,3,2.5,1610,3848,2,0,0,3,8,1610,0,2006,0,98055,47.4497,-122.188,1610,3049,292000
+3232200085,4/28/15,6,3.5,3670,3959,2,0,0,3,10,2410,1260,2008,0,98119,47.6356,-122.373,2060,3625,1500000
+1972200259,5/7/14,2,2.5,1150,1027,3,0,0,3,8,1150,0,2008,0,98103,47.6534,-122.356,1360,1210,425000
+1926059236,10/10/14,5,3.75,3760,4702,2,0,0,3,9,2780,980,2014,0,98034,47.7202,-122.223,2950,5981,799950
+2768200210,8/25/14,2,2.5,1320,1157,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.363,1550,1519,499000
+3304300210,3/27/15,4,2.75,2700,7992,2,0,0,3,9,2700,0,2012,0,98059,47.4831,-122.135,2840,7992,572000
+9826700930,7/22/14,2,2,1480,804,3,0,0,3,8,1480,0,2008,0,98122,47.602,-122.308,1380,1751,459000
+9385200042,3/18/15,3,2.25,1410,905,3,0,0,3,9,1410,0,2014,0,98116,47.5818,-122.402,1510,1352,529500
+3876590090,9/9/14,4,2.5,3135,5811,2,0,0,3,9,3135,0,2005,0,98092,47.3263,-122.18,3008,5799,374500
+2902200142,6/5/14,3,2.5,1480,1485,2,0,0,3,8,1280,200,2007,0,98102,47.6376,-122.326,1470,1277,584000
+8085400401,1/15/15,4,4.5,4020,9656,2,0,0,3,10,4020,0,2007,0,98004,47.6358,-122.207,1960,9520,1900000
+2902200237,7/7/14,2,2.25,1060,1209,2,0,0,3,8,940,120,2006,0,98102,47.6369,-122.327,1300,1169,505000
+7658600082,11/14/14,2,2.5,1950,2457,3,0,0,3,8,1950,0,2009,0,98144,47.5925,-122.302,1650,1639,565000
+6891100330,3/25/15,4,2.75,3340,5677,2,0,0,3,9,3340,0,2011,0,98052,47.709,-122.118,3240,5643,799000
+6821102367,4/29/15,3,2.5,1570,1452,2.5,0,0,3,9,1240,330,2007,0,98199,47.648,-122.396,1670,1596,547000
+1900600015,2/27/15,3,2.5,1930,6604,2,0,0,3,7,1930,0,2014,0,98166,47.4692,-122.351,910,6604,550000
+1545808120,9/18/14,3,2,1590,8100,1,0,0,3,7,1060,530,1996,0,98038,47.3611,-122.047,1590,8100,250000
+2126059294,1/5/15,4,4.5,3720,7746,2,0,0,3,10,3720,0,2014,0,98034,47.7323,-122.165,3080,11067,960000
+1370800515,10/30/14,4,4.25,4470,5884,2,0,1,3,11,3230,1240,2010,0,98199,47.6387,-122.405,2570,6000,2950000
+3319500334,3/27/15,2,1,1290,1289,2,0,0,3,7,1030,260,2005,0,98144,47.6006,-122.305,1290,1332,441000
+301400940,4/7/15,3,2.25,1489,2800,2,0,0,3,7,1489,0,2012,0,98002,47.3454,-122.214,1584,2800,265000
+2722069077,4/9/15,3,2.5,2075,39553,1,0,0,3,7,2075,0,2012,0,98038,47.3601,-122.032,1960,9047,430000
+8943600720,6/17/14,3,2.5,1413,3600,2,0,0,3,8,1413,0,2011,0,98031,47.4222,-122.193,2150,3869,286800
+7660100236,4/16/15,3,2.5,1300,1362,2,0,0,3,8,880,420,2008,0,98144,47.5893,-122.317,1300,1251,375000
+1773100921,12/15/14,3,3.25,1480,983,2,0,0,3,8,1180,300,2013,0,98106,47.5555,-122.363,1330,1062,312500
+8679200100,1/7/15,4,2.75,3320,5559,2,0,0,3,9,3320,0,2012,0,98075,47.5607,-122.031,3400,6854,850000
+3654200039,3/25/15,3,2.25,1530,1279,2,0,0,3,7,1116,414,2007,0,98177,47.7035,-122.357,1320,1427,390500
+2771602428,10/29/14,3,2.5,1180,932,3,0,0,3,8,1180,0,2010,0,98119,47.638,-122.375,1180,2632,455000
+1225039067,4/6/15,2,2,1190,1303,2,0,0,3,8,800,390,2009,0,98107,47.6675,-122.368,1670,2425,455000
+625049359,12/3/14,3,2.25,1300,1180,3,0,0,3,8,1300,0,2008,0,98103,47.6871,-122.339,1300,1174,515000
+3278606050,4/1/15,3,3.5,1710,2212,2,0,0,3,7,1400,310,2013,0,98126,47.5459,-122.368,1580,2212,362500
+5112800291,9/24/14,3,2.5,2390,47480,2,0,0,3,9,2390,0,2007,0,98058,47.4517,-122.084,1720,44866,460000
+7853360300,9/4/14,4,3.5,3510,6005,2,0,0,3,8,2750,760,2010,0,98065,47.5168,-121.87,3090,5866,540000
+6056111063,7/31/14,3,1.75,1140,1165,2,0,0,3,8,1140,0,2014,0,98108,47.5638,-122.295,1150,1552,230000
+2767704649,9/29/14,2,2.5,1320,1329,2,0,0,3,8,1180,140,2007,0,98107,47.6728,-122.374,1490,5000,425000
+7683800205,5/19/14,5,3,2100,9752,1,0,0,3,8,1200,900,2007,0,98003,47.3341,-122.304,1270,10200,298450
+9406530150,12/22/14,4,2.5,2400,4848,2,0,0,3,8,2400,0,2004,0,98038,47.3626,-122.04,1980,5199,344000
+2979800409,5/5/14,3,2.5,1408,989,3,0,0,3,8,1408,0,2005,0,98115,47.6856,-122.315,1408,1342,416286
+1085622540,2/23/15,4,2.5,2560,5102,2,0,0,3,8,2560,0,2013,0,98092,47.3404,-122.181,2586,5059,379500
+4310701421,6/17/14,2,2.5,1260,1347,3,0,0,3,8,1260,0,2005,0,98103,47.6994,-122.341,1260,1356,350000
+2895800770,4/8/15,2,1.75,1290,1624,2,0,0,3,8,1290,0,2014,0,98106,47.5171,-122.347,1410,1963,258800
+3034200067,12/18/14,4,2.5,2730,9260,2,0,0,3,8,2730,0,2008,0,98133,47.7222,-122.331,2730,7357,620000
+3438501320,5/2/14,2,2.5,1630,1368,2,0,0,3,7,1280,350,2009,0,98106,47.5489,-122.363,1590,2306,295000
+8691450120,2/27/15,4,2.75,3530,6844,2,0,0,3,10,3530,0,2014,0,98075,47.5975,-121.985,3530,10038,908990
+6306810110,11/17/14,4,2.5,2714,12558,2,0,0,3,9,2714,0,2014,0,98031,47.3522,-122.201,2873,8269,485230
+3629990110,6/11/14,3,2.25,1630,2520,2,0,0,3,7,1630,0,2005,0,98029,47.5493,-121.998,1630,3131,475000
+715010110,8/4/14,5,3.25,5790,13726,2,0,3,3,10,4430,1360,2014,0,98006,47.5388,-122.114,5790,13726,1240000
+3629700090,8/19/14,3,3,2230,1407,2.5,0,0,3,8,1850,380,2013,0,98027,47.5446,-122.017,2290,1407,635000
+3277801411,11/5/14,3,2.5,1380,1590,2,0,0,3,9,1160,220,2012,0,98126,47.5444,-122.375,1380,1590,350000
+8822901175,12/29/14,3,3.5,1320,1161,3,0,0,3,8,1320,0,2010,0,98125,47.7162,-122.294,1320,1161,345000
+6926700654,9/21/14,2,2,1490,713,3,0,0,3,9,1490,0,2014,0,98109,47.6356,-122.346,1490,1110,700000
+2768301482,8/21/14,3,2.25,1280,1520,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,490000
+8895800110,8/5/14,5,4,3870,5929,2,0,0,3,10,3870,0,2014,0,98052,47.6965,-122.134,3600,5625,1300000
+3879900750,9/10/14,2,2.5,1280,1051,2,0,0,3,8,1080,200,2009,0,98119,47.6273,-122.359,1580,1279,579000
+7234600820,3/27/15,3,1.5,1300,1435,2,0,0,3,8,1120,180,2007,0,98122,47.6114,-122.31,1320,1652,552500
+1946000100,2/4/15,4,2.75,2170,5024,2,0,0,3,8,2170,0,2012,0,98059,47.495,-122.145,2460,5024,467000
+8943600870,11/13/14,4,2.25,1763,3717,2,0,0,3,8,1763,0,2012,0,98031,47.4213,-122.194,1763,3666,305000
+6145600557,5/9/14,2,1.5,1020,1525,2,0,0,3,7,1020,0,2004,0,98133,47.704,-122.347,1020,3844,212000
+7203140180,8/21/14,4,2.5,1840,4593,2,0,0,3,7,1840,0,2010,0,98053,47.6866,-122.013,1740,3600,429000
+3277801592,9/25/14,3,2,1820,1358,3,0,0,3,9,1820,0,2014,0,98126,47.5433,-122.376,1710,1367,479950
+461003835,12/18/14,3,3.5,2670,3000,2,0,0,3,9,1870,800,2014,0,98117,47.6813,-122.372,1750,5000,825000
+424069279,3/28/15,6,6.5,6260,10955,2,0,0,3,11,4840,1420,2007,0,98075,47.5947,-122.039,2710,12550,1180000
+1760651000,6/13/14,3,2.25,1400,3814,2,0,0,3,7,1400,0,2012,0,98042,47.3584,-122.083,1610,3814,250000
+3057000070,10/27/14,2,1.5,1160,2158,2,0,0,3,7,1160,0,1982,0,98034,47.7178,-122.19,1150,2158,289000
+2895810200,10/2/14,3,2.5,1400,3368,2,0,0,3,7,1400,0,2013,0,98146,47.5134,-122.342,1400,4316,265000
+2325300060,5/15/14,3,2.5,1232,1130,3,0,0,3,7,1232,0,2007,0,98125,47.7185,-122.317,1232,1202,344000
+9151600055,7/9/14,4,2.75,2700,6000,2,0,0,4,8,2100,600,1910,0,98116,47.586,-122.383,2050,5400,749000
+7853321260,9/8/14,4,2.5,2550,6382,2,0,0,3,7,2550,0,2007,0,98065,47.5202,-121.87,2430,5900,492000
+4219610320,1/19/15,4,2.5,3260,6902,2,0,0,3,8,3260,0,2008,0,98059,47.4829,-122.156,3130,6588,552500
+2902200016,11/12/14,2,2.5,1680,1240,2,0,0,3,8,1120,560,2014,0,98102,47.6372,-122.324,2060,3630,653500
+7518507055,4/2/15,4,3.25,2630,2550,2,0,0,3,10,2030,600,2006,0,98117,47.6775,-122.385,1810,2600,855000
+7502700060,11/19/14,3,1.5,1260,5758,2,0,0,3,7,1260,0,1999,0,98006,47.5524,-122.139,3090,10142,333000
+3448740160,6/11/14,4,2.5,2550,4500,2,0,0,3,7,2550,0,2009,0,98059,47.4916,-122.153,2340,4526,415000
+179001455,11/7/14,4,3.25,3450,5000,2,0,0,3,8,3450,0,2008,0,98178,47.4925,-122.273,1420,5000,445000
+8669160270,7/10/14,3,2.5,1550,3402,2,0,0,3,7,1550,0,2009,0,98002,47.3523,-122.212,2095,3402,273500
+4215270070,6/6/14,4,2.5,4150,8436,2,0,0,3,10,4150,0,2014,0,98075,47.5802,-122.039,4070,8438,969990
+170000060,10/8/14,5,3.5,3900,4400,2,0,0,3,9,2650,1250,2014,0,98107,47.6607,-122.362,1190,4400,1200000
+7410200431,8/6/14,3,3.25,1550,1444,3,0,0,3,8,1550,0,2006,0,98115,47.6767,-122.291,1550,1444,430000
+6600060140,3/23/15,4,2.5,2130,4000,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.362,1830,7217,392000
+2324059314,7/2/14,4,2.5,2890,7798,2,0,0,3,9,2890,0,2005,0,98006,47.5456,-122.129,3300,30950,795000
+9376301111,6/30/14,3,2.5,1220,1330,2,0,0,3,8,1010,210,2008,0,98117,47.6904,-122.37,1360,3750,457000
+8956200560,3/20/15,4,2.5,2502,8306,2,0,0,3,9,2502,0,2013,0,98001,47.2953,-122.265,2597,6983,453000
+6749700002,5/9/14,3,2,1340,1384,3,0,0,3,8,1340,0,2008,0,98103,47.6973,-122.35,1110,1384,376000
+1438000390,8/4/14,4,2.5,2350,3800,2,0,0,3,8,2350,0,2014,0,98059,47.4783,-122.123,2670,4180,469995
+8682301600,5/4/15,3,2.5,1810,3930,2,0,0,3,8,1810,0,2008,0,98053,47.7169,-122.02,1560,5100,540000
+7853361370,5/2/14,4,2.5,3310,6500,2,0,0,3,8,3310,0,2012,0,98065,47.515,-121.87,2380,5000,555000
+3333001997,7/25/14,3,2,1620,5101,1,0,0,3,7,590,1030,2006,0,98118,47.5448,-122.288,1700,7750,445000
+7899800857,12/15/14,2,2,1070,635,2,0,0,3,9,720,350,2008,0,98106,47.5212,-122.357,1070,928,256950
+7338220370,10/6/14,4,2.5,2230,4952,2,0,0,3,8,2230,0,2011,0,98002,47.3363,-122.211,2030,3721,297000
+9406530160,10/17/14,4,2.5,1970,4558,2,0,0,3,8,1970,0,2005,0,98038,47.3627,-122.04,1980,5123,320000
+7853280370,11/14/14,5,4.5,4600,7810,2,0,0,3,9,3200,1400,2006,0,98065,47.5381,-121.86,4480,6324,805000
+2937300520,8/1/14,4,2.75,3110,6050,2,0,0,3,9,3110,0,2014,0,98052,47.705,-122.126,3590,6054,799990
+2738640310,4/9/15,4,2.5,3490,3677,2,0,0,3,9,2850,640,2007,0,98072,47.774,-122.162,3440,3600,680000
+6056100312,6/24/14,3,2.5,1600,1936,2,0,0,3,7,1600,0,2007,0,98108,47.5629,-122.297,1600,1936,395000
+2856100260,12/2/14,3,2.5,1960,3060,2,0,0,3,8,1960,0,2010,0,98117,47.6764,-122.389,1220,3060,732000
+2724049222,8/2/14,2,2.5,1000,1092,2,0,0,3,7,990,10,2004,0,98118,47.5419,-122.271,1330,1466,163800
+2724049222,12/1/14,2,2.5,1000,1092,2,0,0,3,7,990,10,2004,0,98118,47.5419,-122.271,1330,1466,220000
+6149700197,11/6/14,2,2,1500,1408,3,0,0,3,7,1500,0,1999,0,98133,47.7293,-122.343,1500,1245,308625
+3166900200,3/31/15,3,2.5,2424,5931,2,0,0,3,9,2424,0,2014,0,98042,47.3515,-122.134,2424,6036,375000
+5137800030,7/1/14,4,2.5,2303,3826,2,0,0,3,8,2303,0,2006,0,98092,47.3258,-122.165,2516,4500,300000
+3832080070,6/16/14,3,2.5,1880,6008,2,0,0,3,7,1880,0,2009,0,98042,47.3366,-122.052,2180,5185,284000
+9828702336,2/20/15,2,2,1210,740,2,0,0,3,8,780,430,2014,0,98112,47.6206,-122.3,1480,1171,610000
+7203180370,3/24/15,4,3.25,3720,6765,2,0,0,3,9,3720,0,2012,0,98053,47.688,-122.018,3100,6790,955000
+3901100030,6/27/14,4,2.75,3610,8580,2,0,0,3,9,3610,0,2014,0,98033,47.6706,-122.173,2360,8580,982000
+3126049500,5/22/14,3,1.5,1360,885,3,0,0,3,8,1360,0,2008,0,98103,47.6961,-122.349,1360,1167,359000
+6666830390,7/18/14,5,2.5,2590,7084,2,0,0,3,8,2590,0,2014,0,98052,47.7053,-122.113,3010,4823,779380
+1832100055,6/30/14,5,3.25,4390,11250,2,0,0,3,10,4390,0,2007,0,98040,47.5785,-122.225,2160,9249,1510000
+3629700030,2/23/15,3,3,2290,1407,2.5,0,0,3,8,1890,400,2014,0,98027,47.5446,-122.017,2230,1407,635000
+3630200960,8/26/14,4,3.75,3880,9979,2.5,0,0,3,10,3880,0,2007,0,98029,47.5408,-121.992,3130,6112,1060000
+7625702431,7/16/14,3,2.5,1350,874,3,0,0,3,8,1270,80,2006,0,98136,47.549,-122.387,1350,886,389500
+2895800390,8/7/14,5,2.5,2170,2752,2,0,0,3,8,2170,0,2014,0,98106,47.5165,-122.346,1800,2752,359800
+3753000030,5/27/14,3,3,1296,1051,3,0,0,3,8,1296,0,2009,0,98125,47.7175,-122.284,1520,1939,399950
+1773100926,6/3/14,3,3.25,1530,1602,2,0,0,3,8,1140,390,2013,0,98106,47.5555,-122.362,1450,1198,320000
+301400320,7/25/14,3,2.5,1489,3266,2,0,0,3,7,1489,0,2014,0,98002,47.3452,-122.217,1537,3273,255900
+6600060160,2/9/15,4,2.5,2130,4467,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.363,1830,8160,380000
+1861100267,9/18/14,3,2.75,1430,1521,2,0,0,3,9,1130,300,2009,0,98119,47.6353,-122.371,1930,2700,580000
+3438500036,4/29/15,5,3.75,2380,7268,1,0,0,3,8,1430,950,2008,0,98106,47.5571,-122.357,2040,10810,545000
+3869900036,7/25/14,3,2.5,1420,814,2,0,0,3,8,1140,280,2008,0,98136,47.5429,-122.387,1340,1382,451300
+1042700270,6/16/14,4,3.25,3450,6184,2,0,0,3,9,3450,0,2014,0,98074,47.6072,-122.054,3020,5369,852880
+6817750340,9/19/14,4,2.5,1914,3150,2,0,0,3,8,1914,0,2009,0,98055,47.43,-122.188,1714,3164,305000
+3448001412,4/30/15,2,1.5,988,1080,3,0,0,3,7,988,0,2007,0,98125,47.7123,-122.301,1128,1080,295000
+301400800,10/16/14,3,2.25,1584,2800,2,0,0,3,7,1584,0,2012,0,98002,47.3451,-122.214,1584,2800,261000
+7852090570,3/17/15,4,2.5,2630,5710,2,0,0,3,8,2630,0,2001,0,98065,47.5342,-121.876,2550,5500,560000
+7203180070,9/19/14,4,3.25,3520,5250,2,0,0,3,9,3520,0,2012,0,98053,47.6869,-122.019,3220,5781,795000
+5416510200,9/29/14,4,2.5,2380,4913,2,0,0,3,8,2380,0,2006,0,98038,47.3607,-122.038,2580,5311,384950
+1931300977,5/8/14,3,1.75,1410,1197,3,0,0,3,8,1410,0,2012,0,98103,47.6558,-122.348,1350,2512,500000
+7853390260,2/5/15,4,3.5,3220,5741,2,0,0,3,9,3220,0,2013,0,98065,47.5169,-121.886,2960,6534,640000
+9578500810,11/21/14,4,3.25,3266,5969,2,0,0,3,8,3266,0,2014,0,98023,47.2975,-122.35,3087,5169,418000
+6844700575,10/10/14,3,2,2550,4794,2,0,0,3,9,2550,0,2007,0,98115,47.6955,-122.29,1630,5100,799000
+3751601877,3/20/15,4,3.5,3828,18900,2.5,0,0,3,9,3828,0,2014,0,98001,47.2851,-122.277,2120,18900,552900
+3869900136,12/19/14,3,2.25,1670,1596,3,0,0,3,8,1670,0,2014,0,98136,47.5402,-122.387,1640,1310,539950
+8956200960,1/20/15,4,2.5,3056,11385,2,0,0,3,9,3056,0,2014,0,98001,47.2905,-122.264,2849,8607,524225
+2883200083,2/2/15,2,1.5,1000,1188,3,0,0,3,8,1000,0,2005,0,98115,47.6823,-122.327,2300,3500,424950
+2028700570,11/25/14,3,3.25,1530,1786,2,0,0,3,8,1200,330,2007,0,98117,47.6783,-122.366,1390,2900,560000
+4188300030,4/29/15,5,3,3490,6091,2,0,0,3,9,3490,0,2009,0,98011,47.7744,-122.225,2870,5932,715000
+7883603648,5/22/14,5,2.5,2760,6000,2,0,0,3,8,2760,0,2006,0,98108,47.5289,-122.321,1360,6000,300000
+3630080030,2/24/15,3,2.5,1440,2163,2,0,0,3,7,1440,0,2005,0,98029,47.554,-121.998,1440,2207,405000
+173000036,10/7/14,3,3,1370,1001,3,0,0,3,8,1370,0,2009,0,98133,47.7302,-122.355,1399,1151,327000
+2862500070,12/9/14,6,4,3180,6551,2,0,0,3,9,3180,0,2014,0,98074,47.6236,-122.023,3230,7602,859950
+7017200055,1/13/15,4,3,2720,7570,2,0,0,3,9,2720,0,2008,0,98133,47.7113,-122.349,1770,5705,560000
+3278611610,9/7/14,3,2.5,1800,2792,2,0,0,3,8,1800,0,2011,0,98126,47.5442,-122.371,1580,2617,379900
+4305500030,5/1/15,3,2.5,3220,6409,2,0,0,3,9,3220,0,2008,0,98059,47.4815,-122.127,3330,6231,625000
+255460240,4/23/15,3,2.5,2370,5321,2,0,0,3,8,2370,0,2014,0,98038,47.37,-122.019,2370,4357,398096
+1773100416,11/20/14,3,2.5,1410,1325,2,0,0,3,7,1180,230,2007,0,98106,47.5582,-122.363,1270,1282,315000
+2937300560,12/12/14,4,3.5,3640,6049,2,0,0,3,9,3640,0,2014,0,98052,47.7049,-122.125,3590,6104,939000
+9510860560,7/25/14,3,2.5,1920,3624,2,0,0,3,9,1920,0,2003,0,98052,47.6647,-122.087,1930,3533,674000
+1085621740,8/14/14,4,2.5,2267,3577,2,0,0,3,7,2267,0,2014,0,98092,47.3384,-122.18,2056,3577,306000
+4139300135,7/9/14,5,4.75,5780,17004,2,0,0,3,11,4260,1520,2006,0,98040,47.5802,-122.212,3460,10855,2320000
+5100400241,2/2/15,2,1,1131,1304,3,0,0,3,7,1131,0,2011,0,98115,47.6912,-122.313,1131,1992,394950
+2428100070,9/18/14,3,3.5,2940,6431,2,0,0,3,10,2940,0,2014,0,98075,47.5818,-122.047,2760,6695,914154
+726059485,11/17/14,3,2.5,2180,4533,2,0,0,3,7,2180,0,2010,0,98011,47.754,-122.215,2180,7347,496000
+9834201370,4/17/15,3,2.25,1400,1078,2,0,0,3,8,940,460,2009,0,98144,47.5701,-122.288,1420,1230,430100
+8564860270,7/8/14,4,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4759,-121.734,2680,5992,449990
+8564860270,3/30/15,4,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4759,-121.734,2680,5992,502000
+3395071580,3/11/15,3,2.5,1300,3612,2,0,0,3,7,1300,0,2005,0,98118,47.5328,-122.282,1390,2943,310000
+3682000060,3/23/15,4,3.5,2796,3520,2.5,0,0,3,8,2796,0,2013,0,98001,47.3427,-122.278,2040,5195,349950
+1646500810,9/19/14,2,1.75,1460,1500,2,0,0,3,8,1000,460,2008,0,98103,47.6853,-122.356,1440,4120,625000
+7768800160,8/27/14,4,3.5,4210,6481,2,0,3,3,9,3260,950,2014,0,98075,47.5765,-122.072,3920,5331,1050000
+3629980860,7/7/14,4,2.75,2330,3920,2,0,0,3,9,2330,0,2005,0,98029,47.5525,-121.99,2410,4063,680000
+629890070,5/15/14,4,3.5,3930,5680,2,0,1,3,9,2820,1110,2013,0,98027,47.5528,-122.076,3700,5816,828950
+7299600140,4/3/15,3,2.5,1608,4000,2,0,0,3,8,1608,0,2014,0,98092,47.2582,-122.198,2009,4983,274950
+1332700030,3/12/15,2,2.25,1610,1968,2,0,0,4,7,1610,0,1979,0,98056,47.5184,-122.196,1950,1968,293000
+3630220140,6/13/14,4,3.5,3200,3250,2,0,0,3,9,2670,530,2007,0,98029,47.5515,-122,3400,3663,795000
+301400240,9/22/14,4,2.5,1710,3500,2,0,0,3,7,1710,0,2014,0,98002,47.3448,-122.217,1710,3500,282900
+1233100710,4/16/15,5,3.75,3050,8972,2,0,0,3,9,3050,0,2014,0,98033,47.6819,-122.172,2750,8979,909950
+293070270,11/4/14,4,3.5,3560,4951,2,0,0,3,9,3560,0,2014,0,98074,47.6178,-122.055,3540,5500,922755
+3304030140,4/16/15,4,2.5,2650,8685,2,0,0,3,9,2650,0,2006,0,98001,47.344,-122.269,2650,7932,424000
+5095401070,4/23/15,3,2.5,3490,12410,2,0,0,3,8,2590,900,2009,0,98059,47.4714,-122.071,1740,14448,630000
+6358900070,12/22/14,4,3.25,4140,46173,2,0,0,3,9,4140,0,2007,0,98011,47.7647,-122.213,2060,43103,810000
+8141310030,7/30/14,3,2,1670,4441,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.975,1670,4622,256703
+7203140270,5/15/14,3,2.5,1720,3600,2,0,0,3,7,1720,0,2010,0,98053,47.6856,-122.013,1720,3600,386380
+8682320320,9/16/14,2,2,1510,3961,1,0,0,3,8,1510,0,2010,0,98053,47.709,-122.018,1510,3962,485000
+9542840340,2/11/15,3,2.25,1450,4040,2,0,0,3,7,1450,0,2010,0,98038,47.3665,-122.022,1610,4040,275000
+3943600140,3/2/15,4,2.5,1812,5026,2,0,0,3,8,1812,0,2011,0,98055,47.4513,-122.202,2440,6007,370000
+2902200240,6/10/14,2,2.25,1060,1208,2,0,0,3,8,940,120,2005,0,98102,47.6371,-122.327,1300,1169,499950
+3274800505,4/24/15,3,2.5,1600,3073,3,0,0,3,8,1600,0,2009,0,98144,47.5934,-122.298,1130,2921,502000
+8080400136,6/20/14,3,3.25,1530,1565,2,0,0,3,8,1280,250,2005,0,98122,47.6179,-122.312,1530,1381,654000
+6371000079,7/14/14,4,2.25,2070,1230,3,0,0,3,9,1500,570,2013,0,98116,47.5775,-122.41,1569,4802,575000
+5379801920,4/15/15,4,2.5,3630,7482,2,0,0,3,10,3630,0,2008,0,98188,47.4565,-122.287,1600,15716,500000
+8562770320,1/14/15,3,2.5,2140,4126,2,0,0,3,8,1960,180,2005,0,98027,47.5368,-122.073,2280,2615,554000
+3449000200,5/8/15,4,1.75,2010,12188,1,0,0,4,7,1150,860,1960,0,98059,47.5013,-122.147,1720,8475,360000
+255470030,4/29/15,4,2.75,2630,4501,2,0,0,3,8,2630,0,2015,0,98028,47.7748,-122.244,2380,4599,619990
+629650030,3/12/15,4,2.5,2233,6025,2,0,0,3,7,2233,0,2012,0,98001,47.2599,-122.256,1544,6036,317500
+3574770030,8/28/14,4,2.75,2990,4521,2,0,0,3,7,2990,0,2014,0,98028,47.7401,-122.226,2580,7539,564950
+7589700055,6/11/14,2,1.25,1240,2150,2,0,0,3,8,1240,0,2014,0,98117,47.6884,-122.374,1340,5289,545000
+3832050570,5/1/15,3,2.5,2230,5050,2,0,0,3,7,2230,0,2006,0,98042,47.3359,-122.055,2260,5050,333700
+5167000140,7/11/14,3,3.25,3700,2264,2,0,0,3,11,2280,1420,1998,0,98033,47.6653,-122.205,3930,2567,1480000
+9578060370,4/8/15,4,3,2290,5105,2,0,0,3,8,2290,0,2012,0,98028,47.7727,-122.237,2450,5105,530000
+2767604253,4/13/15,2,1.5,950,865,3,0,0,3,8,950,0,2006,0,98107,47.6714,-122.382,1290,1189,396000
+8562780800,10/16/14,2,1.75,1120,758,2,0,0,3,7,1120,0,2012,0,98027,47.5325,-122.072,1150,758,305000
+603000926,5/22/14,5,3.5,2420,4670,2,0,0,3,7,2420,0,2013,0,98118,47.5241,-122.285,1430,4468,380000
+6817750510,3/3/15,4,2.5,1714,3250,2,0,0,3,8,1714,0,2010,0,98055,47.429,-122.189,1714,3250,305000
+423059409,9/28/14,4,2.5,2230,5650,2,0,0,3,7,2230,0,2011,0,98056,47.5073,-122.168,1590,7241,440000
+522049074,6/27/14,4,3,2530,10000,2,0,0,3,7,2530,0,2013,0,98148,47.431,-122.335,1420,9898,459000
+1934800193,3/6/15,3,3.5,1550,1233,2,0,0,3,8,1160,390,2005,0,98122,47.6034,-122.309,1490,1539,530000
+847100046,4/16/15,4,2.75,3110,11225,2,0,0,3,8,3110,0,2012,0,98059,47.4865,-122.143,2610,8535,600000
+1250200693,7/18/14,3,3,2100,2409,2,0,0,3,8,1660,440,2008,0,98144,47.5973,-122.298,1900,2400,515000
+7338220200,4/8/15,4,2.5,2150,3721,2,0,0,3,8,2150,0,2007,0,98002,47.3363,-122.215,2150,3721,275000
+1982201596,1/12/15,3,1.75,1630,1404,2,0,0,3,8,1020,610,2014,0,98107,47.6646,-122.367,1420,1670,540000
+7853270830,8/5/14,3,2.5,2230,7934,2,0,0,3,7,2230,0,2005,0,98065,47.5439,-121.88,2310,4818,445000
+9352900200,4/7/15,3,2.5,1320,955,3,0,0,3,7,1320,0,2009,0,98106,47.5202,-122.357,1300,1003,285000
+8850000517,7/31/14,3,2.5,1590,1431,2,0,0,3,8,1060,530,2010,0,98144,47.5893,-122.309,1620,1548,480000
+3395070560,1/20/15,5,3.25,2610,3642,2,0,0,3,8,2080,530,2005,0,98118,47.535,-122.284,1750,3118,440000
+7211400576,2/11/15,3,2.5,1440,2500,2,0,0,3,7,1440,0,2008,0,98146,47.5123,-122.358,1440,5000,287450
+5169700132,4/1/15,4,2.5,2630,6283,2,0,0,3,9,2630,0,2006,0,98059,47.5079,-122.158,2630,7210,507950
+3204960200,6/19/14,3,3.5,3390,10078,2,0,0,3,10,3040,350,2012,0,98056,47.537,-122.185,3290,12332,750000
+8024200681,7/3/14,3,1.5,1400,1022,3,0,0,3,8,1400,0,2007,0,98115,47.6989,-122.317,1270,1205,425000
+9358000550,12/2/14,3,3.5,1900,2133,2,0,0,3,8,1520,380,2009,0,98126,47.5675,-122.369,1530,3264,420000
+7625702444,5/10/14,3,2.5,1350,1250,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,394950
+7853370260,7/11/14,4,3.25,3420,6752,2,0,2,3,9,3030,390,2012,0,98065,47.517,-121.876,3010,5172,635000
+522079068,5/6/15,3,2.5,2150,161607,2,0,0,3,7,1330,820,1995,0,98038,47.4178,-121.937,2400,207781,513000
+3023000200,5/5/15,4,2.5,2110,5306,2,0,0,3,8,2110,0,2012,0,98038,47.356,-122.057,2250,5306,380000
+3758900023,5/21/14,4,3.25,3810,8519,1,0,1,3,10,2680,1130,2007,0,98033,47.699,-122.207,3240,10748,1130000
+6204050160,6/8/14,5,3,2870,4369,2,0,0,3,8,2090,780,2007,0,98011,47.7449,-122.192,2640,4610,540000
+8562780200,4/27/15,2,2.25,1240,705,2,0,0,3,7,1150,90,2009,0,98027,47.5321,-122.073,1240,750,352499
+7702600949,5/5/15,4,3.5,3610,6345,2,0,0,3,9,2370,1240,2008,0,98058,47.4283,-122.102,3010,29279,603000
+3442000127,5/30/14,4,2.5,2310,5100,2,0,0,3,9,2310,0,2013,0,98177,47.7039,-122.36,1260,5100,685000
+255550070,6/26/14,4,3,1930,3031,1,0,0,3,7,1200,730,2006,0,98019,47.7457,-121.985,1930,2611,330675
+7165700200,6/5/14,3,3,1390,1080,2,0,0,3,7,1140,250,2006,0,98118,47.5323,-122.281,1450,1081,275000
+8096800270,7/16/14,3,2.5,1578,7340,2,0,0,3,7,1578,0,2010,0,98030,47.3771,-122.186,1850,7200,259950
+4046500160,7/29/14,3,2,1720,15000,1,0,0,3,9,1720,0,2011,0,98014,47.6927,-121.92,1900,15337,441000
+7882600326,12/3/14,5,3.75,4700,11237,2,0,0,3,10,2930,1770,2006,0,98033,47.6624,-122.197,3180,13140,1140000
+9122001230,12/5/14,3,3.5,1970,5079,2,0,0,3,8,1680,290,2007,0,98144,47.5816,-122.296,1940,6000,590000
+6373000187,9/18/14,3,2.25,1460,1353,2,0,0,3,8,1050,410,2012,0,98116,47.5774,-122.412,1690,3776,497000
+7967000200,11/21/14,3,2.5,1930,4000,2,0,0,3,8,1930,0,2014,0,98001,47.3518,-122.275,2050,4000,345500
+2902200241,6/23/14,3,2.25,1300,907,2,0,0,3,8,1000,300,2006,0,98102,47.6371,-122.327,1300,1169,562500
+291310390,9/4/14,3,2.25,1445,1087,2,0,0,3,7,1300,145,2005,0,98027,47.5339,-122.067,1410,1336,355000
+1604601572,9/5/14,2,2.25,860,696,2,0,0,3,9,860,0,2009,0,98118,47.5663,-122.29,1100,3000,345000
+259500270,5/5/14,3,2.5,3040,4535,2,0,0,3,9,3040,0,2007,0,98056,47.51,-122.185,2670,4666,478000
+3166900270,4/2/15,3,2.5,2424,6143,2,0,0,3,9,2424,0,2014,0,98030,47.3512,-122.135,2381,6036,391500
+2926049582,4/12/15,2,1.5,1084,3427,2,0,0,3,7,1084,0,1976,0,98125,47.7117,-122.326,1084,6250,265000
+3438503230,10/30/14,3,2.5,2510,5320,2,0,0,3,8,2510,0,2005,0,98106,47.5374,-122.357,1820,5736,395000
+2827100075,7/27/14,2,1.5,1220,1036,3,0,0,3,7,1220,0,2006,0,98133,47.7348,-122.347,1210,659,286308
+1702900624,5/27/14,2,2.25,1280,835,2,0,0,3,7,1080,200,2009,0,98118,47.5592,-122.284,1280,1246,370000
+2856100935,9/23/14,5,3.5,3740,5610,2,0,0,3,9,2860,880,2014,0,98117,47.6764,-122.392,1520,4590,1080000
+301401620,10/15/14,3,2.5,1852,4000,2,0,0,3,7,1852,0,2014,0,98002,47.3451,-122.209,2475,4000,298900
+3630200520,4/21/15,4,2.5,2580,5787,2,0,0,3,9,2580,0,2007,0,98029,47.5416,-121.994,2580,4410,775000
+323079065,6/24/14,4,3.5,3190,31450,2,0,0,3,9,3190,0,2010,0,98027,47.501,-121.902,3000,72745,790000
+7172200125,8/27/14,3,2.5,3400,5119,2,0,0,3,8,2300,1100,2014,0,98115,47.6843,-122.305,1740,5969,1050000
+3057000400,7/8/14,2,1.5,1090,2686,2,0,0,3,7,1090,0,1982,0,98034,47.717,-122.19,1160,2158,249000
+3022900070,9/29/14,3,2,2360,6145,1,0,0,3,8,2360,0,2011,0,98030,47.3564,-122.198,2304,5880,348000
+9406710060,11/14/14,5,2.5,2460,5604,2,0,0,3,8,2460,0,2011,0,98038,47.3658,-122.037,2210,6395,358000
+3353401070,6/25/14,5,2.5,2025,7760,2,0,0,3,7,2025,0,2007,0,98001,47.2671,-122.256,1664,9000,260000
+7853280570,6/4/14,4,3,4410,5104,2,0,0,3,9,3400,1010,2006,0,98065,47.5392,-121.861,4390,5537,765000
+6192410550,5/28/14,3,2.5,2810,5400,2,0,0,3,9,2810,0,2005,0,98052,47.7065,-122.118,2870,5400,739000
+8562710520,5/5/14,5,3.5,4490,6000,2,0,0,3,10,3200,1290,2006,0,98027,47.5396,-122.073,4530,6000,890000
+1543000060,6/7/14,4,2.5,3070,6432,2,0,0,3,9,3070,0,2006,0,98055,47.4487,-122.205,2910,5106,462000
+9536600810,7/8/14,4,2.5,1984,32400,1,0,0,3,8,1564,420,1962,0,98198,47.36,-122.318,1390,9152,380000
+5428000070,5/11/15,5,3.5,4750,8234,2,0,2,3,10,3350,1400,2013,0,98198,47.3574,-122.318,2160,14496,770000
+2309000060,8/18/14,4,3.25,2760,4104,2,0,0,3,8,1900,860,2014,0,98056,47.5286,-122.187,2760,5186,641000
+8043700105,4/17/15,4,4,4360,8175,2.5,1,4,3,10,3940,420,2007,0,98008,47.5724,-122.104,2670,8525,2300000
+7792000140,5/4/15,4,2.5,3060,27251,1.5,0,0,3,8,3060,0,2008,0,98022,47.1967,-121.966,1760,27251,369000
+5244801550,9/16/14,4,3,2770,2650,2,0,0,3,9,2180,590,2014,0,98109,47.6435,-122.354,1820,2960,1110000
+9310300160,8/28/14,5,2.5,2990,9240,2,0,0,3,8,2990,0,2015,0,98133,47.7384,-122.348,1970,18110,357000
+6762700376,11/26/14,3,2.75,1540,1251,2,0,0,3,8,1230,310,2002,0,98102,47.6298,-122.321,1540,1287,650000
+1972200428,6/25/14,3,2.5,1400,1312,3.5,0,0,3,8,1400,0,2007,0,98103,47.6534,-122.355,1350,1312,563500
+7304301231,6/17/14,3,2.5,1680,2229,2,0,0,3,7,1680,0,2007,0,98155,47.7484,-122.322,1230,9300,345000
+9512200140,7/25/14,3,2,2260,7163,1,0,0,3,9,2260,0,2012,0,98058,47.4593,-122.136,2340,6730,479950
+7853400260,5/13/14,4,3.5,3400,5196,2,0,0,3,9,3400,0,2012,0,98065,47.5169,-121.884,3170,5260,660000
+97600140,7/29/14,4,2.5,2930,5000,2,0,0,3,9,2760,170,2007,0,98006,47.5424,-122.12,3230,5778,800000
+2822059360,7/24/14,3,2,1239,6036,1,0,0,3,7,1239,0,2009,0,98030,47.3689,-122.175,2060,5746,253101
+6056110200,9/29/14,3,3.5,2100,2479,2,0,0,3,9,1450,650,2011,0,98118,47.562,-122.292,1800,2457,555000
+6300000226,6/26/14,4,1,1200,2171,1.5,0,0,3,7,1200,0,1933,0,98133,47.7076,-122.342,1130,1598,240000
+6300000226,5/4/15,4,1,1200,2171,1.5,0,0,3,7,1200,0,1933,0,98133,47.7076,-122.342,1130,1598,380000
+9524100196,11/17/14,2,1.5,680,772,2,0,0,3,7,680,0,2005,0,98103,47.695,-122.343,690,1059,239000
+3013300685,3/18/15,4,3.25,2690,3995,2,0,0,3,9,2060,630,2014,0,98136,47.532,-122.384,1810,4590,760000
+2619950070,8/26/14,4,2.5,2750,7200,2,0,0,3,8,2750,0,2011,0,98019,47.7327,-121.966,2750,7200,430000
+7203110240,5/22/14,3,2.5,2450,4332,2,0,0,3,8,2450,0,2010,0,98053,47.6942,-122.016,2450,4154,660000
+7694200350,8/20/14,4,2.5,2620,4050,2,0,0,3,8,2620,0,2014,0,98146,47.5017,-122.34,2030,3944,399963
+7600136,7/18/14,2,2,1130,1148,2,0,0,3,9,800,330,2007,0,98122,47.6023,-122.314,1350,1201,411000
+1442880160,6/27/14,4,2.75,2790,5527,2,0,0,3,8,2790,0,2014,0,98045,47.4827,-121.773,2620,5509,483453
+3277801580,11/10/14,3,2,1820,1357,3,0,0,3,9,1820,0,2014,0,98126,47.5432,-122.376,1710,1372,469950
+1442880640,7/15/14,4,2.75,2910,7467,2,0,0,3,8,2910,0,2013,0,98045,47.4841,-121.772,2790,7868,504058
+3845101070,4/28/15,4,2.5,2568,5000,2,0,0,3,9,2568,0,2014,0,98092,47.2596,-122.194,2547,4500,425996
+6791900260,7/8/14,4,2.75,3090,5859,2,0,0,3,9,3090,0,2010,0,98074,47.6057,-122.047,2960,5250,760005
+9828702339,4/20/15,2,2,1460,1085,2,0,0,3,8,950,510,2014,0,98112,47.6205,-122.299,1580,1202,699999
+2255500125,7/16/14,3,2.5,2010,2263,2,0,0,3,8,1340,670,2014,0,98122,47.6088,-122.311,1500,2670,749950
+5541300135,7/8/14,4,2.5,2610,5140,2,0,0,3,8,2610,0,2006,0,98103,47.6951,-122.346,1190,5101,674600
+4083306616,2/24/15,2,1.5,960,1000,2,0,0,3,8,920,40,2008,0,98103,47.6489,-122.335,1200,1297,450000
+8096800260,4/7/15,3,2.5,1528,7616,2,0,0,3,7,1528,0,2011,0,98030,47.3774,-122.186,1850,7340,272000
+2997800024,7/14/14,2,1.5,1310,1264,2,0,0,3,8,1120,190,2006,0,98106,47.5772,-122.409,1330,1265,450000
+952005863,5/5/15,3,2.25,1760,2122,3,0,0,3,9,1760,0,2015,0,98116,47.5633,-122.385,1420,1618,643950
+7772850060,11/10/14,3,2.5,1420,3542,2,0,0,3,8,1310,110,2007,0,98133,47.7731,-122.343,1180,1622,290000
+6130500070,10/8/14,3,2.5,1650,2082,3,0,0,3,8,1650,0,2007,0,98133,47.7108,-122.332,1650,1965,378000
+8682300400,6/19/14,3,2.5,2320,6775,1,0,0,3,8,2320,0,2008,0,98053,47.7158,-122.016,1680,4750,728050
+8956200990,4/26/15,4,2.5,2628,11466,2,0,0,3,9,2628,0,2014,0,98001,47.2904,-122.264,2849,10909,499160
+9532000070,12/1/14,4,2.5,2520,4831,2,0,0,3,8,2520,0,2009,0,98072,47.7711,-122.168,2430,3937,536000
+7570050070,2/5/15,5,3.5,2880,5000,2,0,0,3,8,2260,620,2012,0,98038,47.3455,-122.023,2590,4800,419900
+946000295,12/10/14,3,2.25,1440,1362,3,0,0,3,7,1440,0,2014,0,98117,47.6908,-122.365,1180,2603,469000
+3831250350,4/8/15,3,2.5,2185,6042,2,0,0,3,9,2185,0,2009,0,98030,47.3573,-122.202,2297,5876,374000
+6056100160,7/28/14,4,1.5,1500,2106,2,0,0,3,7,1500,0,2014,0,98108,47.5669,-122.297,1490,2175,182568
+1402970070,6/26/14,3,2.5,1769,7324,2,0,0,3,9,1769,0,2012,0,98092,47.3307,-122.188,2502,6017,334888
+2524059267,9/17/14,4,4,3650,18223,2,0,3,3,9,3330,320,2013,0,98006,47.5442,-122.116,3220,11022,799900
+8091670030,5/12/14,4,2.5,2160,6223,2,0,0,3,8,2160,0,2010,0,98038,47.3494,-122.042,2160,5555,383000
+1825079046,12/18/14,3,2.5,1820,374616,2,0,0,3,7,1820,0,1999,0,98014,47.6539,-121.959,1870,220654,580000
+255450390,7/7/14,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3706,-122.017,2370,4200,351999
+9301300270,2/23/15,3,3,3180,2758,2,0,2,3,11,2240,940,2008,0,98109,47.6377,-122.342,2420,2758,1330000
+9347300160,1/25/15,3,2.5,1780,4077,2,0,0,3,8,1780,0,2011,0,98038,47.3568,-122.056,1970,4077,312000
+710600070,9/12/14,4,3.5,2650,3127,2,0,0,3,8,2230,420,2011,0,98027,47.5381,-122.046,2330,3137,674950
+5556300116,12/29/14,5,2.75,3300,7560,2,0,0,3,10,3300,0,2007,0,98052,47.6467,-122.118,3150,8580,1110000
+1324300126,3/13/15,2,2.5,1160,1219,3,0,0,3,8,1160,0,2007,0,98107,47.6543,-122.358,1320,2800,415000
+9279700013,7/10/14,3,3,3460,5353,2,0,0,3,10,2850,610,2007,0,98116,47.5858,-122.393,2460,6325,1250000
+3336500140,9/19/14,3,2.5,1390,2450,2,0,0,3,7,1390,0,2009,0,98118,47.5298,-122.269,1390,2450,208800
+2767604212,10/29/14,2,2.5,1260,1131,3,0,0,3,8,1260,0,2006,0,98107,47.6715,-122.384,1490,2500,452000
+6719600030,4/22/15,5,2.75,2940,5225,2,0,0,3,8,2760,180,2010,0,98052,47.6879,-122.107,3090,6261,837000
+3204930510,2/24/15,5,3.5,3190,4247,2,0,0,3,8,2430,760,2013,0,98052,47.7016,-122.103,2580,3989,780000
+7582700075,10/2/14,4,3.5,3930,6120,2,0,0,3,10,3310,620,2007,0,98105,47.6646,-122.28,3390,6120,1490000
+191100435,9/26/14,5,3.75,3570,10125,2,0,0,3,10,3570,0,2014,0,98040,47.5639,-122.223,1760,10125,1600000
+255450030,9/18/14,3,2.5,2420,4725,2,0,0,3,8,2420,0,2014,0,98038,47.371,-122.018,2370,4200,369946
+9476200710,6/8/14,3,2.75,3400,7200,2,0,2,3,9,2470,930,2009,0,98056,47.4878,-122.191,1580,8676,530000
+1329300070,3/20/15,4,2.5,2478,6079,2,0,0,3,8,2478,0,2012,0,98030,47.3524,-122.175,2279,6079,386000
+357000135,2/18/15,4,2.5,3070,7830,2,0,2,3,11,1970,1100,2009,0,98144,47.593,-122.291,2440,4682,1900000
+7203600560,9/11/14,4,3.5,3200,7605,2,0,2,3,9,2500,700,2013,0,98198,47.3443,-122.327,2240,4416,735000
+715010140,10/2/14,5,3.25,5790,12739,2,0,3,3,10,4430,1360,2014,0,98006,47.538,-122.114,5790,13928,1750000
+3869900138,2/23/15,3,2.25,1590,926,3,0,0,3,8,1590,0,2014,0,98136,47.5402,-122.387,1640,1321,489950
+2114700374,4/13/15,3,3,1730,1442,2,0,0,3,8,1440,290,2008,0,98106,47.5344,-122.348,1370,1524,357500
+9264450550,5/20/14,4,2.5,2303,3680,2,0,0,3,8,2303,0,2013,0,98001,47.2599,-122.283,2303,3760,329995
+3862710200,9/25/14,3,2.5,1790,3754,2,0,0,3,8,1790,0,2013,0,98065,47.534,-121.841,1800,3393,414000
+291310310,12/10/14,3,3.5,2490,3517,2,0,0,3,8,1720,770,2005,0,98027,47.5341,-122.067,1600,2378,533500
+3814900260,3/5/15,4,2.5,2669,5385,2,0,0,3,9,2669,0,2014,0,98092,47.3262,-122.165,2669,4645,402395
+8562790710,4/10/15,4,3.25,2610,2552,2,0,0,3,10,2160,450,2008,0,98027,47.5322,-122.076,2610,2664,725000
+3425069117,8/28/14,6,5.25,6160,27490,2,0,0,3,11,4040,2120,2007,0,98074,47.6094,-122.023,4225,9100,1280000
+2895800640,9/17/14,2,1.75,1290,1493,2,0,0,3,8,1290,0,2014,0,98106,47.5171,-122.346,1410,1875,239800
+3438500253,9/4/14,5,3.5,3560,5008,2,0,0,3,8,2810,750,2013,0,98106,47.5542,-122.359,2910,5026,616950
+3630200340,10/1/14,4,3.25,4360,6000,2,0,3,3,11,3400,960,2007,0,98027,47.5408,-121.994,4310,6000,1260000
+2770601769,6/17/14,3,2.25,1230,1238,2,0,0,3,8,1080,150,2009,0,98199,47.6519,-122.384,1230,953,435000
+2225069036,8/15/14,4,3.25,3640,60086,2,0,0,3,10,3640,0,2005,0,98074,47.6328,-122.016,2900,51721,925000
+9525600030,4/28/15,2,2.5,1780,2493,3,0,0,3,8,1780,0,1981,0,98107,47.6704,-122.358,2050,4400,631500
+993002108,3/30/15,3,1.5,1140,1069,3,0,0,3,8,1140,0,2005,0,98103,47.6907,-122.342,1230,1276,399995
+993000327,5/6/14,3,2,1270,1320,3,0,0,3,8,1270,0,2006,0,98103,47.6937,-122.342,1370,1320,369950
+1523059239,4/23/15,5,3.5,2780,3583,2,0,0,3,8,2180,600,2005,0,98059,47.4879,-122.152,2640,3850,475000
+7967000270,11/25/14,4,2.5,1912,5000,2,0,0,3,8,1912,0,2012,0,98001,47.3511,-122.275,2020,5000,353000
+7137800310,2/25/15,4,2.5,2300,9690,2,0,0,3,8,2300,0,2006,0,98023,47.2793,-122.352,1200,9085,329950
+2211300260,3/13/15,3,2.5,2828,4050,2,0,0,3,8,2828,0,2013,0,98030,47.382,-122.197,2513,4507,367000
+8956200070,9/5/14,4,2.5,2425,9017,2,0,0,3,9,2425,0,2013,0,98001,47.3003,-122.263,2725,7019,447500
+1257201420,7/9/14,4,3.25,3730,4560,2,0,0,3,9,2760,970,2015,0,98103,47.6725,-122.33,1800,4560,595000
+1523300140,9/4/14,1,1,730,1942,1,0,0,3,7,730,0,2009,0,98144,47.5943,-122.299,1020,2044,325000
+9831200186,2/3/15,2,2.5,1990,1756,3,0,0,3,9,1780,210,2005,0,98102,47.6264,-122.323,1955,1438,690000
+7660100238,11/11/14,3,2.5,1300,812,2,0,0,3,8,880,420,2008,0,98144,47.5893,-122.317,1300,824,329950
+5381000477,1/28/15,4,2.5,2560,7492,2,0,0,3,8,2560,0,2014,0,98188,47.4467,-122.287,1260,11541,399500
+207700180,1/21/15,5,2.5,2450,5047,2,0,0,3,8,2450,0,2007,0,98011,47.7724,-122.168,2450,4478,555000
+5288200072,10/1/14,2,1.5,1440,725,2,0,0,3,8,1100,340,2011,0,98126,47.5607,-122.378,1440,4255,427000
+9524100322,10/20/14,3,2.25,1140,1557,3,0,0,3,8,1140,0,2007,0,98103,47.6947,-122.342,1140,1245,375000
+1732800184,5/8/14,2,1.5,1110,957,2,0,0,3,8,930,180,2005,0,98119,47.6319,-122.362,1680,1104,499000
+1425069103,7/18/14,3,2.5,2620,43832,2,0,0,3,8,2620,0,2013,0,98053,47.655,-122.009,2620,120686,750000
+8165500790,12/29/14,3,2.5,1690,1200,2,0,0,3,8,1410,280,2014,0,98106,47.5388,-122.367,1740,1664,336900
+7658600081,9/19/14,2,2.75,1950,1610,3,0,0,3,8,1950,0,2009,0,98144,47.5925,-122.302,910,1745,555000
+1245003268,11/6/14,4,3.5,3530,8126,2,0,0,3,10,3530,0,2007,0,98033,47.6847,-122.2,2660,8126,1280000
+8010100220,10/14/14,4,3.5,3310,4684,2,0,0,3,9,2290,1020,2014,0,98116,47.579,-122.389,1850,4750,999950
+7974200452,6/25/14,5,3,2620,5477,2,0,0,3,10,2620,0,2009,0,98115,47.6804,-122.288,1680,5217,975000
+8943600360,2/19/15,3,2.25,1350,3582,2,0,0,3,8,1350,0,2010,0,98031,47.4214,-122.191,1940,3860,299000
+3026059361,4/17/15,2,2.5,1741,1439,2,0,0,3,8,1446,295,2007,0,98034,47.7043,-122.209,2090,10454,479000
+6130500120,4/17/15,3,2.5,1650,2201,3,0,0,3,8,1650,0,2007,0,98133,47.7108,-122.333,1650,1965,428000
+3575305485,8/29/14,3,2.5,1890,6500,2,0,0,3,7,1890,0,2012,0,98074,47.6225,-122.058,2340,7500,409000
+666000142,3/26/15,3,3,1950,1833,3,0,0,3,9,1610,340,2009,0,98004,47.6078,-122.202,2040,2131,798500
+7853280620,12/12/14,4,3.5,4490,5805,2,0,0,3,9,3390,1100,2006,0,98065,47.5389,-121.86,4410,6299,689000
+8946390040,5/8/14,6,2.25,3206,5793,2,0,0,3,7,3206,0,2012,0,98032,47.369,-122.287,2527,5804,375000
+5416300230,7/17/14,4,3.5,4130,77832,2,0,2,3,10,4130,0,2011,0,98042,47.3229,-122.045,4130,87476,775000
+1604730150,10/14/14,5,3,2800,5700,2,0,0,3,8,2800,0,2014,0,98059,47.4969,-122.145,2910,5349,639983
+8669180150,3/26/15,4,3,1984,4419,2,0,0,3,7,1984,0,2010,0,98002,47.3514,-122.213,2440,4418,300000
+1081330180,12/22/14,4,2.5,2750,11830,2,0,0,3,9,2750,0,2014,0,98059,47.4698,-122.121,2310,11830,627000
+2309710230,4/15/15,3,2.75,1740,5757,1,0,0,3,7,1740,0,2010,0,98022,47.1941,-121.979,2380,5647,275000
+2895800610,9/26/14,4,2.25,1800,2752,2,0,0,3,8,1800,0,2014,0,98106,47.5167,-122.346,1650,2752,352800
+3362400092,3/12/15,3,2.25,1540,1005,3,0,0,3,8,1540,0,2008,0,98103,47.6828,-122.346,1510,1501,565000
+3052700385,4/14/15,4,2.25,2030,2222,2,0,0,3,9,1610,420,2015,0,98117,47.679,-122.375,1420,2222,765000
+2738640040,4/9/15,4,2.5,3310,4839,2,0,0,3,9,3310,0,2007,0,98072,47.773,-122.161,3240,5280,644000
+8024200674,2/23/15,3,1.5,1270,1416,3,0,0,3,8,1270,0,2007,0,98115,47.6988,-122.317,1270,1413,461000
+3353400092,12/23/14,5,2.5,2406,7093,2,0,0,3,8,2406,0,2006,0,98001,47.2615,-122.252,1767,7093,270500
+6003500749,7/1/14,2,2.25,1540,965,3,0,0,3,9,1540,0,2007,0,98122,47.6181,-122.318,1410,964,640000
+8956200530,8/5/14,4,2.5,2820,6983,2,0,0,3,9,2820,0,2013,0,98001,47.2958,-122.265,2597,7222,457000
+133000271,12/1/14,5,2.5,2540,5100,2,0,0,3,7,2540,0,2014,0,98168,47.5123,-122.316,1400,9440,355000
+6749700063,12/15/14,2,2.25,1230,989,3,0,0,3,8,1230,0,2007,0,98103,47.6975,-122.348,1230,1223,356000
+3278613060,8/5/14,4,2.5,1900,2766,2,0,0,3,8,1900,0,2014,0,98106,47.543,-122.368,1900,2604,425000
+7708200880,9/23/14,5,2.75,2920,6327,2,0,0,3,8,2920,0,2007,0,98059,47.4935,-122.145,2520,5026,562500
+2767600673,7/1/14,3,2.5,1450,1053,2,0,0,3,8,940,510,2008,0,98107,47.6754,-122.374,1410,1080,460000
+7299810040,4/6/15,4,3,5370,69848,2,0,0,3,10,3500,1870,2005,0,98042,47.3166,-122.046,4443,94403,790000
+993000308,3/18/15,3,2,1270,1333,3,0,0,3,8,1270,0,2006,0,98103,47.6933,-122.342,1330,1333,401000
+3364900040,8/28/14,3,2.5,2550,5100,2,0,0,3,9,2550,0,2014,0,98115,47.6757,-122.326,1250,4080,1100000
+9578090180,4/3/15,4,3,3070,7150,2,0,0,3,9,3070,0,2007,0,98052,47.7079,-122.107,3200,6984,850000
+9542840120,7/2/14,3,2.25,1450,4050,2,0,0,3,7,1450,0,2010,0,98038,47.367,-122.019,1660,3800,274500
+3860900035,4/15/15,5,3.5,4230,16526,2,0,0,3,10,4230,0,2008,0,98004,47.5933,-122.199,3000,12362,1940000
+7202300040,8/4/14,4,2.5,3480,6262,2,0,0,3,9,3480,0,2003,0,98053,47.6857,-122.045,3490,6629,808000
+1773100972,5/15/14,3,2.25,1490,974,2,0,0,3,7,1220,270,2009,0,98106,47.5567,-122.363,1490,1283,312000
+3626039424,6/16/14,3,2.25,1200,1400,3,0,0,3,8,1200,0,2005,0,98133,47.7046,-122.357,1370,6552,320000
+3175200220,1/13/15,3,2.5,2150,4332,2,0,0,3,8,2150,0,2013,0,98019,47.7373,-121.969,2140,4332,410000
+7852120120,6/20/14,3,3.5,3690,8837,2,0,0,3,10,3690,0,2001,0,98065,47.5402,-121.876,3690,9585,725000
+7813500040,10/15/14,4,2.5,1900,3301,2,0,0,3,7,1900,0,2007,0,98178,47.489,-122.249,1960,3379,335000
+7242800040,1/20/15,4,3.25,1690,1321,2,0,0,3,8,1320,370,2014,0,98052,47.678,-122.117,3080,4558,519990
+1442880650,6/10/14,4,2.75,2790,8853,2,0,0,3,8,2790,0,2013,0,98045,47.4842,-121.772,2790,8092,533112
+3355400242,10/28/14,3,2,1936,6612,2,0,0,3,7,1936,0,2014,0,98001,47.2602,-122.246,1620,21600,274900
+8562780540,12/22/14,2,2.25,1150,711,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.07,1150,748,325000
+923049203,5/29/14,4,2.5,2040,22653,2,0,0,3,7,2040,0,2011,0,98168,47.4991,-122.299,2020,20502,350000
+3578600141,9/23/14,4,2.5,2470,7539,2,0,0,3,9,2470,0,2006,0,98028,47.7407,-122.226,2580,7539,550000
+53500450,3/9/15,4,2.5,1890,4158,2,0,0,3,8,1890,0,2014,0,98042,47.343,-122.056,2720,4549,311850
+1934800180,2/10/15,3,2.5,1626,1583,2.5,0,0,3,8,1419,207,2007,0,98122,47.6031,-122.309,1400,1583,526000
+3023000210,10/1/14,4,2.5,2250,5306,2,0,0,3,8,2250,0,2012,0,98038,47.356,-122.057,2250,5306,375000
+1773100967,2/23/15,3,2.25,1350,1234,2,0,0,3,7,1160,190,2007,0,98106,47.5565,-122.363,1420,1234,299999
+2767704777,9/19/14,3,2.5,1460,1238,2,0,0,3,8,1200,260,2008,0,98107,47.6719,-122.374,1280,1257,436000
+1085621960,12/12/14,3,2.5,2056,3564,2,0,0,3,7,2056,0,2014,0,98092,47.338,-122.181,2056,3577,303000
+2771602174,7/1/14,2,2.5,1160,1458,2,0,0,3,8,1040,120,2012,0,98119,47.6384,-122.373,1650,2311,525000
+6762700452,6/13/14,3,3,1384,1287,2,0,0,3,8,1144,240,2006,0,98102,47.6295,-122.32,1570,1288,575000
+5695000142,10/24/14,2,1.5,1100,1107,3,0,0,3,8,1100,0,2008,0,98103,47.6584,-122.35,1110,2750,420000
+9578140180,6/11/14,3,2.5,2456,7566,2,0,0,3,8,2456,0,2012,0,98023,47.297,-122.351,2478,7212,329950
+2124069115,10/21/14,4,4.25,4500,215186,2,0,3,3,11,2630,1870,2009,0,98029,47.559,-122.045,3030,25447,1830000
+3864000120,4/8/15,4,3.25,3780,10099,1,0,1,3,11,2240,1540,2006,0,98006,47.5508,-122.192,3120,10669,1180000
+2768200212,9/11/14,2,2.5,1320,1157,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.363,1550,1519,499950
+7852070210,5/27/14,4,3,5940,11533,2,0,4,3,11,4950,990,2004,0,98065,47.5443,-121.87,4240,12813,1150000
+7853361210,2/18/15,3,2,1650,5027,1.5,0,0,3,7,1650,0,2009,0,98065,47.515,-121.874,2430,6000,400000
+8141310040,6/27/14,3,3,1670,4440,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.975,1670,4622,246950
+6852700097,8/6/14,3,3.25,1610,1275,2,0,0,3,8,1220,390,2005,0,98102,47.6236,-122.318,1750,3000,630000
+7708210040,9/12/14,5,2.75,3370,10315,2,0,0,3,9,3370,0,2006,0,98059,47.4893,-122.146,3010,8296,561000
+53500760,12/8/14,4,2.5,2660,4082,2,0,0,3,7,2660,0,2010,0,98042,47.3414,-122.055,2390,4876,287000
+3528900771,3/31/15,3,3.25,1690,1473,2,0,0,3,8,1380,310,2008,0,98109,47.6397,-122.345,1670,2594,600000
+9126100813,8/28/14,3,2.25,1620,1062,3,0,0,3,8,1620,0,2014,0,98122,47.6051,-122.304,1560,1728,490000
+3679400503,3/30/15,3,1.75,1300,958,2,0,0,3,7,840,460,2011,0,98108,47.5677,-122.314,1340,1254,330000
+1760650210,12/1/14,4,2.5,1610,4052,2,0,0,3,7,1610,0,2013,0,98042,47.3603,-122.081,2110,4034,286950
+2652501565,4/23/15,3,3.25,3530,4920,2,0,0,3,9,2660,870,2015,0,98109,47.641,-122.357,1900,4200,1550000
+1237500577,2/12/15,4,2.5,3550,8618,2,0,0,3,10,3550,0,2007,0,98052,47.6776,-122.161,1310,9746,880000
+6382500084,10/13/14,3,3,1730,1755,3,0,0,3,8,1730,0,2014,0,98117,47.6944,-122.377,1830,1804,577450
+3023000410,4/30/15,5,2.75,2400,4900,2,0,0,3,8,2400,0,2011,0,98038,47.355,-122.057,2110,5696,405000
+2767601752,7/7/14,3,2.5,1420,1237,3,0,0,3,8,1420,0,2014,0,98107,47.674,-122.387,1510,2501,510000
+2771604196,8/12/14,2,1.5,1220,1120,2.5,0,0,3,8,1110,110,2008,0,98199,47.6374,-122.388,2010,3175,465000
+1778500620,7/7/14,4,2.25,2360,4000,2,0,0,3,9,2360,0,2013,0,98112,47.6198,-122.289,3040,4400,1300000
+1823059241,4/8/15,4,3.5,3990,11270,2,0,3,3,9,2930,1060,2007,0,98055,47.488,-122.225,1980,11328,609000
+9267200062,9/11/14,3,2.5,1260,1211,3,0,0,3,8,1260,0,2004,0,98103,47.6969,-122.343,1270,1211,336000
+3278606110,1/8/15,3,2.5,1580,2407,2,0,0,3,8,1580,0,2013,0,98126,47.5455,-122.368,1580,2212,375000
+1657530180,12/4/14,3,2.5,1760,2688,2,0,0,3,7,1760,0,2005,0,98059,47.4903,-122.166,1760,2329,294500
+2754700035,11/25/14,5,3.5,3420,4216,2,0,0,3,9,2520,900,2008,0,98115,47.6799,-122.304,1420,4500,925000
+2568200120,12/15/14,5,2.75,2870,6593,2,0,0,3,9,2870,0,2006,0,98052,47.7075,-122.102,3150,6593,730000
+6601200040,9/19/14,4,2.5,1934,5677,2,0,0,3,8,1934,0,2013,0,98001,47.2602,-122.252,1919,5049,280000
+2767601750,8/15/14,3,1.5,1220,962,3,0,0,3,8,1220,0,2014,0,98107,47.674,-122.387,1510,2501,500000
+7853350220,3/24/15,3,2.75,2450,5750,2,0,0,3,9,2450,0,2013,0,98065,47.5439,-121.862,3200,8036,605000
+6163900628,5/16/14,3,3.25,1860,1787,3,0,0,3,8,1860,0,2007,0,98155,47.7563,-122.316,1830,1787,379950
+1689401526,3/23/15,3,2.5,1500,1119,3,0,2,3,7,1110,390,2008,0,98109,47.6327,-122.346,1500,1057,605000
+8725950360,5/1/15,2,1.75,1570,1108,3,0,0,3,9,1570,0,2007,0,98004,47.6215,-122.2,1940,1160,720000
+9826700697,11/3/14,3,2,1280,960,2,0,0,3,9,1040,240,2014,0,98122,47.602,-122.311,1280,1173,549900
+9578500180,1/21/15,3,2.5,3192,5653,2,0,0,3,8,3192,0,2014,0,98023,47.2956,-122.35,3000,5134,427000
+9826700707,10/28/14,3,2.5,1690,1479,3,0,0,3,8,1420,270,2005,0,98122,47.6022,-122.311,1280,1253,492000
+8138870530,5/5/14,2,2.5,1590,1426,2,0,0,3,8,1590,0,2014,0,98029,47.5441,-122.013,1590,1426,419190
+4188300180,11/12/14,3,2.5,2870,7288,2,0,0,3,9,2870,0,2012,0,98011,47.7745,-122.225,2870,5998,650000
+5416510530,11/24/14,4,2.5,2580,4818,2,0,0,3,8,2580,0,2005,0,98038,47.3607,-122.038,2570,5386,379950
+4181200540,7/28/14,4,2.75,1830,3420,2,0,0,3,8,1830,0,2012,0,98198,47.366,-122.308,1813,3420,269800
+2222059154,8/13/14,4,2.5,2927,6000,2,0,0,3,7,2927,0,2011,0,98042,47.3737,-122.16,2533,6000,407000
+8032700072,4/15/15,3,1.5,1320,1250,3,0,0,3,8,1320,0,2008,0,98103,47.6536,-122.341,1560,1694,580000
+7203140220,1/16/15,3,2.5,1720,3581,2,0,0,3,7,1720,0,2011,0,98053,47.6861,-122.013,1720,3600,389700
+1278000210,3/11/15,2,1,828,4524,1,0,0,3,6,828,0,1968,2007,98001,47.2655,-122.244,828,5402,110000
+6058600220,7/31/14,3,1.5,1040,1264,2,0,0,3,9,900,140,2015,0,98144,47.5951,-122.301,1350,3000,230000
+1442880610,8/29/14,4,2.75,2790,6685,2,0,0,3,8,2790,0,2014,0,98045,47.4838,-121.773,2790,6444,533380
+3679400484,9/18/14,3,2.5,1410,1332,2,0,0,3,7,960,450,2014,0,98108,47.5683,-122.314,1410,1343,295500
+3825310180,10/7/14,4,4.5,4040,8400,2,0,0,3,9,3220,820,2006,0,98052,47.7067,-122.131,3940,8400,860000
+3630220180,7/8/14,4,3.5,3370,3634,2,0,0,3,9,2750,620,2007,0,98029,47.5519,-122.001,3200,3650,812000
+3336500180,6/5/14,3,2.5,1660,3990,2,0,0,3,7,1660,0,2009,0,98118,47.5298,-122.268,1670,4050,324500
+2781270530,3/26/15,2,1.75,910,2550,1,0,0,3,6,910,0,2004,0,98038,47.3494,-122.022,1310,2550,193000
+993001563,5/22/14,3,2.25,1280,959,3,0,0,3,8,1280,0,2005,0,98103,47.6914,-122.343,1130,1126,355000
+9578060540,6/14/14,4,2.75,2360,4924,2,0,0,3,8,2360,0,2008,0,98028,47.7737,-122.235,2360,4670,525000
+2222059052,2/27/15,3,2.5,2529,9653,2,0,0,3,7,2529,0,2012,0,98042,47.3738,-122.161,2533,6125,370950
+1239400650,11/7/14,4,3.5,4700,10183,1,0,2,3,11,2660,2040,2002,0,98033,47.6728,-122.189,3770,9000,1240000
+8835800450,5/4/15,3,2.5,2780,275033,1,0,0,3,10,2780,0,2006,0,98045,47.4496,-121.766,1680,16340,950000
+293070120,9/18/14,4,2.75,3540,5500,2,0,0,3,9,3540,0,2014,0,98074,47.6181,-122.056,3540,5500,888990
+1176001117,3/19/15,3,2.5,1580,1321,2,0,2,3,8,1080,500,2014,0,98107,47.6688,-122.402,1530,1357,705000
+7889601165,8/26/14,3,2.5,1700,2250,2,0,0,3,7,1700,0,2014,0,98168,47.4914,-122.334,1520,4500,268000
+7227801581,5/7/14,3,2.5,1600,3573,2,0,0,3,7,1600,0,2013,0,98056,47.507,-122.181,1500,11089,305450
+9895000040,7/3/14,2,1.75,1410,1005,1.5,0,0,3,9,900,510,2011,0,98027,47.5446,-122.018,1440,1188,399900
+9528102993,12/29/14,3,1.5,1580,1228,3,0,0,3,8,1580,0,2014,0,98115,47.6765,-122.32,1580,3605,495000
+3746700120,11/4/14,3,3.5,3940,11632,2,0,0,3,10,3940,0,2014,0,98166,47.438,-122.344,2015,11632,857326
+745530040,9/11/14,5,2.75,4450,9600,2,0,0,3,9,3650,800,2014,0,98011,47.7336,-122.21,4000,9750,845950
+7299600180,6/10/14,4,2.5,2009,5000,2,0,0,3,8,2009,0,2014,0,98092,47.2577,-122.198,2009,5182,303210
+2149800278,10/15/14,6,5,2732,7655,2,0,0,3,7,2732,0,2009,0,98002,47.3045,-122.211,3078,69993,343000
+2517000650,7/16/14,3,2.5,2090,4590,2,0,0,3,7,2090,0,2005,0,98042,47.3992,-122.163,2190,4060,300000
+6021503708,11/22/14,2,2.5,980,1013,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,334900
+8559300120,4/16/15,5,3.5,2815,5619,2,0,0,3,9,2815,0,2012,0,98055,47.4299,-122.207,2583,5295,477500
+3305100230,6/18/14,4,2.5,3170,8523,2,0,0,3,9,3170,0,2008,0,98033,47.6854,-122.184,3230,8523,820000
+2135200155,8/5/14,5,3.25,3030,7410,2,0,0,3,8,2150,880,2014,0,98106,47.553,-122.354,2020,7410,580000
+2919700109,7/22/14,2,2.5,1280,940,2,0,0,3,8,1060,220,2006,0,98103,47.6904,-122.364,1290,2900,350000
+8725950220,2/26/15,3,2.5,2030,1160,3,0,0,3,9,1970,60,2007,0,98004,47.6213,-122.2,1950,1160,910000
+1776230220,6/26/14,3,2.5,2490,4540,2.5,0,0,3,8,2490,0,2012,0,98059,47.5051,-122.155,2640,3844,414000
+9211010230,3/30/15,3,2.5,3030,4500,2,0,0,3,8,3030,0,2009,0,98059,47.4944,-122.15,3030,4501,525000
+1972201772,4/9/15,2,2.5,1470,690,3,0,3,3,8,1470,0,2008,0,98103,47.6523,-122.346,1480,1284,650000
+9268851320,12/10/14,3,2.25,1620,997,2.5,0,0,3,8,1540,80,2012,0,98027,47.5394,-122.027,1620,1068,450000
+1424059154,5/16/14,4,3,5520,8313,2,0,3,3,9,3570,1950,2008,0,98006,47.5655,-122.129,3770,8278,1270000
+626059365,4/12/15,3,3.5,3200,10344,2,0,0,3,10,3200,0,2007,0,98011,47.7636,-122.216,2550,20152,699000
+3885802136,7/23/14,4,2.5,2580,3943,2,0,0,3,8,2580,0,2013,0,98033,47.6853,-122.21,1700,5772,899000
+7967000150,8/8/14,4,3,2050,4000,2,0,0,3,8,2050,0,2014,0,98001,47.3523,-122.275,2050,4000,353500
+7853360720,9/8/14,3,2.5,2430,5867,2,0,0,3,7,2430,0,2011,0,98065,47.5162,-121.872,2620,5866,485000
+8562790150,6/26/14,4,3.25,3060,3898,2,0,0,3,10,2300,760,2014,0,98027,47.5311,-122.073,2920,3448,782900
+1226039124,4/28/15,2,2,1540,9714,2,0,0,3,8,1540,0,2008,0,98177,47.7628,-122.359,1840,8179,529000
+2767704251,4/16/15,3,3.25,1310,1072,2,0,0,3,8,1060,250,2008,0,98107,47.6744,-122.374,1160,1266,514700
+3862710210,5/20/14,3,2.5,1800,3168,2,0,0,3,8,1800,0,2014,0,98065,47.5342,-121.841,1800,3393,409316
+255460330,5/6/15,3,2.5,2370,4200,2,0,0,3,8,2370,0,2014,0,98038,47.3699,-122.019,2370,4370,388598
+291310610,2/27/15,3,2.25,1445,1512,2,0,0,3,7,1300,145,2004,0,98027,47.5341,-122.069,1445,1082,415000
+9126101121,4/7/15,3,2.25,1450,1619,2,0,0,3,8,1140,310,2006,0,98122,47.6076,-122.304,1580,3472,521500
+9274200322,8/20/14,3,2.5,1740,1236,3,0,2,3,8,1740,0,2008,0,98116,47.5891,-122.387,1740,1280,580000
+6666830230,6/30/14,4,2.5,3560,5265,3,0,0,3,8,3560,0,2014,0,98052,47.7047,-122.113,3220,4892,882566
+1604601803,4/8/15,3,2.75,2130,1400,2,0,0,3,9,1080,1050,2010,0,98118,47.5661,-122.29,1880,3132,525000
+7702080150,12/1/14,5,2.75,2980,4502,2,0,0,3,9,2980,0,2007,0,98028,47.7698,-122.235,2850,4501,515000
+7853400220,9/26/14,3,3,2840,7201,2,0,0,3,9,2840,0,2014,0,98065,47.5165,-121.883,2540,5260,589410
+3895100039,3/24/15,4,2.5,3420,6845,2,0,0,3,9,3420,0,2009,0,98052,47.6777,-122.156,2800,5715,757500
+7697000150,10/2/14,3,2.5,1660,4083,2,0,0,3,7,1660,0,2013,0,98038,47.3595,-122.045,1800,4087,284000
+8562780530,3/28/15,2,2.25,1150,711,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,748,338500
+291310180,6/13/14,3,2.25,1410,1287,2,0,0,3,7,1290,120,2005,0,98027,47.5344,-122.068,1490,1435,379500
+1972205633,7/23/14,3,2,1420,1369,2.5,0,0,3,9,1340,80,2007,0,98109,47.6472,-122.357,1540,2168,550000
+3023000120,9/2/14,3,2.5,1860,5025,2,0,0,3,8,1860,0,2010,0,98038,47.3557,-122.059,2000,5550,294900
+7548301056,6/9/14,2,1.5,1340,1210,2,0,0,3,8,1120,220,2008,0,98144,47.588,-122.305,1340,1213,345000
+9826701201,2/9/15,2,1.5,1530,1012,2,0,0,3,8,1200,330,2005,0,98122,47.602,-122.306,1530,1425,450000
+6300500476,4/15/15,3,2.5,1509,1114,3,0,0,3,8,1509,0,2014,0,98133,47.7049,-122.34,1509,2431,420000
+2597490410,4/2/15,3,2.5,2350,3798,2,0,0,3,8,2350,0,2013,0,98029,47.543,-122.01,2020,3532,740000
+3448001411,2/20/15,2,1.5,1010,825,3,0,0,3,7,1010,0,2007,0,98125,47.7124,-122.301,1128,1080,286000
+745530180,3/17/15,5,3.5,4495,10079,2,0,0,3,9,3580,915,2013,0,98011,47.7339,-122.209,4495,10079,870000
+3879900753,11/14/14,3,2.5,1580,991,3,0,0,3,9,1580,0,2009,0,98119,47.6276,-122.359,1610,1297,727000
+2781230230,2/4/15,4,3,2750,7965,2,0,0,3,9,2750,0,2012,0,98038,47.3479,-122.028,2750,6000,395000
+3629990180,8/5/14,4,2.25,1890,3615,2,0,0,3,7,1890,0,2005,0,98029,47.5493,-121.999,1630,3280,535000
+9352900222,12/29/14,3,2.25,1320,963,2,0,0,3,7,1040,280,2007,0,98106,47.5199,-122.357,1300,1285,255000
+7338220120,10/15/14,4,2.5,2150,3721,2,0,0,3,8,2150,0,2006,0,98002,47.3363,-122.217,2150,3721,260000
+325059287,9/10/14,4,2.5,3340,8384,2,0,0,3,9,3340,0,2014,0,98052,47.6761,-122.152,1560,9429,810000
+7203140360,12/1/14,3,2.5,1850,3400,2,0,0,3,7,1850,0,2010,0,98053,47.6871,-122.014,1850,3400,359782
+6056110150,3/20/15,2,2.5,1950,2162,2,0,0,3,9,1500,450,2012,0,98118,47.5622,-122.292,1800,2457,500000
+7203230040,10/27/14,5,3.25,4240,9588,2,0,0,3,9,4240,0,2014,0,98053,47.6901,-122.018,4080,8425,1050000
+8121100155,2/25/15,4,3.5,2700,2868,2,0,0,3,11,1920,780,2006,0,98118,47.5685,-122.286,1430,3858,810000
+7853370620,2/6/15,5,4,3040,6000,2,0,0,3,8,2280,760,2011,0,98065,47.5189,-121.876,3070,5558,605000
+6400700264,3/17/15,4,2.5,2460,7930,2,0,0,3,8,2460,0,2005,0,98033,47.6684,-122.175,1850,9000,730000
+1760650880,3/17/15,4,2.5,2110,3825,2,0,0,3,7,2110,0,2013,0,98042,47.359,-122.082,1950,3825,327000
+567000382,11/10/14,2,1,780,1133,2,0,0,3,7,780,0,2009,0,98144,47.5924,-122.295,1130,1270,370000
+7852100150,6/25/14,5,3.5,2640,6895,2,0,0,3,7,2640,0,2001,0,98065,47.5298,-121.879,2640,5267,459000
+6447300365,11/13/14,5,4,5190,14600,2,0,1,3,11,5190,0,2013,0,98039,47.6102,-122.225,3840,19250,2900000
+2622059197,12/10/14,4,2.5,2420,8404,2,0,0,3,8,2420,0,2013,0,98042,47.372,-122.13,2440,4822,365000
+1389600040,12/26/14,4,2.5,1987,6000,2,0,0,3,7,1987,0,2011,0,98001,47.2679,-122.255,1880,9589,255000
+9276200220,7/17/14,1,1,720,3166,1,0,0,3,6,720,0,1920,0,98116,47.5811,-122.389,1140,6250,375000
+7904700032,10/2/14,2,1.5,1130,912,2,0,0,3,8,1000,130,2006,0,98116,47.5638,-122.388,1500,1474,375000
+3744000040,7/22/14,4,2.5,2810,4500,2,0,0,3,9,2810,0,2014,0,98038,47.3552,-122.023,2980,5046,518380
+1773100604,7/21/14,3,3.25,1500,1442,2,0,0,3,8,1150,350,2007,0,98106,47.5592,-122.362,1500,1533,346000
+9268850360,2/23/15,4,2,1390,745,3,0,0,3,7,1390,0,2008,0,98027,47.5393,-122.026,1390,942,302059
+7853420450,5/19/14,4,2.5,2500,4945,2,0,0,3,9,2500,0,2013,0,98065,47.5185,-121.885,2760,6000,575000
+8956200770,7/23/14,4,3.5,3906,9674,2,0,2,3,9,3906,0,2014,0,98001,47.2931,-122.264,2673,6500,549950
+2424059170,2/19/15,5,6,7120,40806,2,0,4,3,12,5480,1640,2007,0,98006,47.5451,-122.114,3440,36859,900000
+1934800133,7/11/14,3,2.5,1470,1256,2,0,0,3,8,930,540,2006,0,98122,47.6033,-122.309,1510,1797,397500
+5556300109,11/21/14,5,3.5,3230,7560,2,0,0,3,10,3230,0,2007,0,98052,47.6467,-122.118,3230,8580,1080000
+2326600150,4/22/15,3,2.5,2700,5764,2,0,0,3,9,2700,0,2014,0,98075,47.5618,-122.027,3270,14700,775900
+3751600409,5/8/15,4,2.5,4073,17334,2,0,0,3,8,4073,0,2008,0,98001,47.2949,-122.27,1780,9625,510000
+3814900210,8/29/14,4,2.5,3361,5038,2,0,0,3,9,3361,0,2014,0,98092,47.3269,-122.165,2316,4105,471275
+9542840730,9/11/14,4,2.25,1610,3560,2,0,0,3,7,1610,0,2010,0,98038,47.3669,-122.02,1760,3692,288000
+2937300540,10/16/14,4,3.5,3830,7150,2,0,0,3,9,3830,0,2014,0,98052,47.7049,-122.126,3640,6055,989990
+7549800543,6/12/14,3,3.25,1470,1235,2,0,0,3,7,1180,290,2008,0,98108,47.5537,-122.313,1470,1243,300000
+4058800439,6/23/14,5,3,3190,7081,1,0,2,3,9,1890,1300,2013,0,98178,47.509,-122.24,2270,7623,664950
+7853430180,7/16/14,4,3.25,3250,5478,2,0,0,3,9,3250,0,2014,0,98065,47.5178,-121.887,3250,5482,699188
+982850120,3/3/15,3,2.25,1490,4539,2,0,0,3,7,1490,0,2009,0,98028,47.7607,-122.233,1750,4667,390000
+9476010120,3/21/15,5,2.75,2900,5155,2,0,0,3,8,2900,0,2008,0,98075,47.5977,-122.008,2900,6176,670000
+5200087,7/9/14,4,2.5,2540,5001,2,0,0,3,9,2540,0,2005,0,98108,47.5423,-122.302,2360,6834,487000
+7308600040,7/23/14,5,2.75,3360,12080,2,0,0,3,9,3360,0,2014,0,98011,47.7757,-122.173,3360,9724,769995
+1498301048,5/8/14,2,1.25,860,1277,2,0,0,3,7,860,0,2007,0,98144,47.5842,-122.314,1280,1265,321950
+2738630040,4/27/15,4,2.5,3020,6068,2,0,0,3,9,3020,0,2006,0,98072,47.773,-122.16,3240,5757,613500
+6300500081,8/6/14,3,2.5,1330,1200,3,0,0,3,7,1330,0,2002,0,98133,47.7034,-122.344,1330,1206,300000
+3845100620,11/25/14,4,2.5,2578,4554,2,0,0,3,9,2578,0,2014,0,98092,47.2603,-122.194,2647,4554,400950
+255450040,9/18/14,4,2.5,2640,4725,2,0,0,3,8,2640,0,2014,0,98038,47.371,-122.017,2370,4725,389517
+880000211,8/21/14,3,1.75,1260,1133,2,0,0,3,7,810,450,2011,0,98106,47.5261,-122.361,1260,1172,255000
+2163900081,2/20/15,3,2.5,1990,1891,3,0,0,3,9,1990,0,2012,0,98102,47.6271,-122.324,1990,3600,1080000
+7853370440,11/21/14,5,3.25,3340,4900,2,0,2,3,9,2500,840,2014,0,98065,47.5193,-121.877,3220,5200,637850
+3448900290,8/28/14,4,2.5,2840,6284,2,0,0,3,9,2840,0,2013,0,98056,47.5135,-122.169,2790,7168,636230
+263000006,12/16/14,3,2.5,1530,1131,3,0,0,3,8,1530,0,2009,0,98103,47.6993,-122.346,1530,1445,375000
+1972200882,6/4/14,3,2.5,1780,1487,3,0,0,3,8,1600,180,2006,0,98107,47.6539,-122.351,1780,1300,586500
+7853270630,1/20/15,4,2.5,2340,6973,2,0,0,3,8,1930,410,2005,0,98065,47.5451,-121.882,2950,6908,544000
+7852130430,8/6/14,4,2.5,2390,5021,2,0,0,3,7,2390,0,2002,0,98065,47.5353,-121.879,2520,5333,425000
+7383450250,3/11/15,4,2.5,2090,3777,2,0,0,3,8,2090,0,2012,0,98038,47.3595,-122.042,2160,3993,374950
+3449000010,3/12/15,3,1,1140,8400,1,0,0,4,7,1140,0,1960,0,98059,47.5022,-122.144,1400,9000,294570
+2690100170,10/13/14,3,2.5,1960,1477,2,0,0,3,7,1670,290,2012,0,98059,47.4873,-122.166,1980,1467,300000
+9578500920,9/10/14,5,3.5,2738,6031,2,0,0,3,8,2738,0,2014,0,98023,47.2962,-122.35,2738,5201,395950
+8562900430,7/18/14,4,2.5,3691,11088,2,0,1,3,8,3691,0,2013,0,98074,47.6122,-122.059,3190,11270,800000
+1442880380,7/30/14,3,2.5,2340,5171,2,0,0,3,8,2340,0,2013,0,98045,47.4832,-121.772,2790,5684,439990
+3204930170,11/6/14,4,3.5,2510,3763,2,0,0,3,8,1990,520,2013,0,98052,47.7002,-122.103,2560,3820,680000
+4449800480,3/18/15,6,3,2800,4213,2,0,0,3,8,2800,0,1998,0,98117,47.6892,-122.389,1440,3960,677790
+3862710010,5/1/15,3,2.5,1650,4777,2,0,0,3,8,1650,0,2013,0,98065,47.5336,-121.841,1800,3331,424950
+301402280,3/31/15,2,2.25,1061,2884,2,0,0,3,7,1061,0,2013,0,98002,47.346,-122.218,1481,2887,223990
+2867300170,5/13/15,4,2.5,3402,14355,2,0,0,3,10,2846,556,2014,0,98023,47.3009,-122.385,3402,8487,498000
+5635100080,10/31/14,4,2.5,2542,6120,2,0,0,3,8,2542,0,2014,0,98030,47.3751,-122.188,2419,8984,359950
+1624079024,5/15/14,3,2.5,3150,151588,2,0,0,3,9,3150,0,2007,0,98024,47.572,-121.926,2410,208652,720000
+9211010840,11/12/14,4,2.5,3010,9000,2,0,0,3,8,3010,0,2008,0,98059,47.4987,-122.147,3250,5531,530000
+7697000020,10/7/14,3,2.5,1660,4898,2,0,0,3,7,1660,0,2011,0,98038,47.3588,-122.044,1810,4462,295000
+3832050130,10/21/14,3,2.5,1770,5000,2,0,0,3,7,1770,0,2009,0,98042,47.3358,-122.051,2230,5200,255500
+3630240020,5/21/14,3,3,1960,1168,2,0,0,3,9,1600,360,2007,0,98027,47.5445,-122.014,2080,1423,556000
+1389600080,7/10/14,4,2.5,1889,6000,2,0,0,3,7,1889,0,2012,0,98001,47.2676,-122.256,1990,6350,277950
+2781230080,4/8/15,4,2.5,3040,6000,2,0,0,3,9,3040,0,2007,0,98038,47.3473,-122.03,2640,6000,431000
+7203100660,11/17/14,4,2.75,3420,6787,2,0,0,3,9,3420,0,2010,0,98053,47.6962,-122.023,3450,6137,780000
+1806900502,10/14/14,3,3.25,1720,936,2,0,0,3,8,1030,690,2004,0,98112,47.6201,-122.309,1720,1527,649000
+3022800010,7/14/14,3,2.5,1740,3043,2,0,0,3,7,1740,0,2012,0,98011,47.744,-122.181,1920,2869,447000
+6666830250,5/5/14,4,2.5,2450,4247,2,0,0,3,8,2450,0,2013,0,98052,47.7048,-122.113,2970,4685,712198
+7242800020,8/15/14,3,1.5,1190,785,2,0,0,3,8,920,270,2014,0,98052,47.6781,-122.117,2820,5626,277140
+2867300190,5/28/14,4,2.5,3753,7204,2,0,0,3,10,3336,417,2008,0,98023,47.3011,-122.385,3494,9375,363000
+8564860130,2/2/15,5,3.5,3440,6037,2,0,0,3,9,3440,0,2014,0,98045,47.4765,-121.734,3270,6037,598992
+2770603522,12/11/14,3,2.5,2160,1250,3,0,0,3,8,1830,330,2010,0,98119,47.6515,-122.375,1870,2825,585000
+9544200422,7/31/14,4,2.75,3820,8850,2,0,0,3,10,3820,0,2014,0,98033,47.6506,-122.195,2330,12000,1270000
+4253400104,2/12/15,2,2,1120,1039,2,0,0,3,7,840,280,2007,0,98144,47.5788,-122.315,1130,5400,380950
+1085622890,7/8/14,4,2.5,2250,3916,2,0,0,3,8,2250,0,2014,0,98003,47.3413,-122.18,2156,3920,333490
+9268851630,6/4/14,3,3.25,1540,1487,2,0,0,3,8,1540,0,2011,0,98027,47.5397,-122.027,1620,1104,520000
+8562780190,10/7/14,2,2.25,1240,705,2,0,0,3,7,1150,90,2009,0,98027,47.5321,-122.073,1240,750,315000
+2767600686,3/31/15,2,1.5,1160,1118,2,0,0,3,8,1020,140,2007,0,98117,47.6754,-122.375,1210,1118,487000
+7207900080,8/8/14,5,3.5,2760,3865,2.5,0,0,3,8,2760,0,2013,0,98056,47.5049,-122.17,2590,4587,424950
+2770601457,2/10/15,3,2.25,1580,1487,3,0,0,3,9,1580,0,2013,0,98199,47.6514,-122.386,1600,1525,542300
+1773100920,12/11/14,3,3.25,1480,1192,2,0,0,3,8,1180,300,2013,0,98106,47.5556,-122.363,1330,1094,320000
+1024069027,7/23/14,4,3.25,3740,11467,2,0,0,3,10,3740,0,2014,0,98029,47.581,-122.022,2510,27520,1140000
+7853361310,12/15/14,4,2.5,1950,5000,2,0,0,3,8,1950,0,2012,0,98065,47.515,-121.872,2710,5000,425000
+6824100029,10/31/14,3,3,1530,1568,3,0,0,3,8,1530,0,2012,0,98117,47.6998,-122.367,1460,1224,474950
+255450250,8/4/14,3,2.5,1820,4200,2,0,0,3,8,1820,0,2014,0,98038,47.3693,-122.017,2370,4200,307635
+2428100130,12/10/14,3,2.5,2760,6187,2,0,0,3,10,2760,0,2014,0,98075,47.5821,-122.047,2760,6600,834538
+1042700050,7/23/14,5,2.75,3010,5398,2,0,0,3,9,3010,0,2014,0,98074,47.6067,-122.053,3360,5407,769995
+7853280250,4/24/15,5,3.25,3860,9387,2,0,2,3,9,3860,0,2006,0,98065,47.538,-121.858,3860,8979,820875
+7853410170,3/16/15,4,2.5,2490,6537,2,0,0,3,8,2490,0,2013,0,98065,47.5185,-121.884,2520,5848,595500
+2708450020,9/12/14,4,2.5,3236,9608,2,0,0,3,10,3236,0,2005,0,98030,47.3838,-122.195,3236,9660,450000
+7852140170,4/21/15,4,2.5,2830,14538,2,0,0,3,8,2830,0,2003,0,98065,47.5405,-121.882,2270,6939,695000
+1459920010,3/23/15,3,2,1451,7159,1,0,0,3,7,1451,0,2010,0,98042,47.3754,-122.163,2303,6126,300000
+3438500250,6/23/14,5,3.25,2910,5027,2,0,0,3,8,2040,870,2013,0,98106,47.5543,-122.359,2910,5027,515000
+1890000169,9/3/14,3,2.5,1280,1845,3,0,0,3,8,1280,0,2009,0,98105,47.662,-122.324,1450,1889,545000
+1250200414,2/18/15,3,2.25,1110,979,2,0,0,3,7,960,150,2008,0,98144,47.5999,-122.3,1170,1400,365000
+2564900470,7/14/14,4,2.75,2840,8800,2,0,0,3,9,2840,0,2008,0,98033,47.7029,-122.171,1840,7700,718500
+2895800780,4/1/15,3,1.75,1410,2052,2,0,0,3,8,1410,0,2014,0,98106,47.5171,-122.347,1410,1988,279800
+6306800050,9/25/14,4,2.5,3250,13360,2,0,0,3,9,3250,0,2014,0,98030,47.3524,-122.198,2612,14448,486940
+6928000605,6/26/14,4,2.75,3030,6625,2,0,0,3,8,3030,0,2011,0,98059,47.4815,-122.152,3030,9620,525000
+3814900950,7/25/14,4,2.5,1983,6002,2,0,0,3,9,1983,0,2012,0,98092,47.3281,-122.164,2502,4750,345000
+8562770080,10/30/14,3,3.25,2440,2812,2,0,0,3,8,1710,730,2005,0,98027,47.5362,-122.072,2440,2836,613000
+3831250130,8/25/14,3,2.5,2313,5700,2,0,0,3,9,2313,0,2011,0,98030,47.3572,-122.202,2323,5701,370000
+3629990020,10/2/14,3,2.25,1260,2556,2,0,0,3,7,1260,0,2005,0,98029,47.5482,-121.998,1630,2844,449500
+9532000010,4/16/15,3,2.5,2000,3837,2,0,0,3,8,2000,0,2011,0,98072,47.7713,-122.167,2210,4075,515000
+8562780430,5/4/15,2,1.75,1150,698,2,0,0,3,7,1150,0,2013,0,98027,47.5323,-122.071,1150,757,346100
+2781230020,12/9/14,4,2.5,2820,6666,2,0,0,3,9,2820,0,2007,0,98038,47.3473,-122.031,1880,7200,398500
+8658301060,8/20/14,2,1.75,1160,2500,2,0,0,3,7,1160,0,2008,0,98014,47.6489,-121.911,970,7500,310000
+301402140,2/26/15,3,2.25,1481,2820,2,0,0,3,7,1481,0,2012,0,98002,47.3457,-122.217,1481,2889,250000
+8923600020,8/6/14,5,3.5,4390,6220,2,0,3,3,9,3170,1220,2013,0,98115,47.6789,-122.273,2740,6448,1880000
+8725950020,8/27/14,2,1.75,1570,1207,3,0,0,3,9,1570,0,2007,0,98004,47.6215,-122.201,1570,1206,695000
+1121000357,8/27/14,4,3,3410,6541,2,0,2,3,9,2680,730,2007,0,98126,47.5416,-122.38,2300,6345,1090000
+1042700290,8/4/14,5,3.25,3480,6507,2,0,0,3,9,3480,0,2014,0,98074,47.607,-122.053,3360,5398,864327
+7308600010,6/16/14,4,3.25,3430,9870,2,0,0,3,9,3430,0,2014,0,98011,47.776,-122.173,3360,9724,749995
+7708210050,6/10/14,5,2.75,2880,8364,2,0,0,3,9,2880,0,2006,0,98059,47.4893,-122.147,3010,8296,525000
+5631500285,11/21/14,3,2.5,2990,9413,2,0,0,3,10,2990,0,2006,0,98028,47.7341,-122.234,1940,9600,659950
+524059063,5/6/14,5,5,4490,10279,2,0,0,3,10,3930,560,2013,0,98004,47.5974,-122.202,2490,10279,1800000
+7203160190,10/29/14,5,4,4100,8120,2,0,0,3,9,4100,0,2011,0,98053,47.6917,-122.02,4100,7625,950000
+1692900095,6/18/14,4,2.75,3870,10046,2,0,0,3,11,3870,0,2005,0,98033,47.6651,-122.191,3560,10046,1400000
+3438500346,7/2/14,2,1.5,800,2119,2,0,0,3,7,800,0,2008,0,98106,47.554,-122.362,1020,4800,265050
+9268850290,3/6/15,3,2.25,1620,1057,3,0,0,3,8,1540,80,2009,0,98027,47.5396,-122.026,1390,942,450000
+2419700080,5/5/15,4,2.5,2910,4356,3,0,0,3,8,2910,0,2010,0,98034,47.6705,-122.146,2840,4181,915000
+1235700052,6/30/14,4,3.25,3530,8589,2,0,0,3,10,3530,0,2007,0,98033,47.6975,-122.195,2470,9019,963000
+4233800020,10/8/14,4,2.5,2701,5821,2,0,0,3,7,2701,0,2013,0,98092,47.2873,-122.177,2566,5843,270000
+3278612570,7/24/14,2,2.5,1380,889,2,0,0,3,7,1140,240,2012,0,98126,47.5441,-122.369,1580,1397,294000
+6638900461,6/5/14,3,2.5,2050,4185,2,0,0,3,9,2050,0,2011,0,98117,47.6922,-122.371,1150,5000,700000
+4233600190,3/16/15,3,4,3370,8252,2,0,0,3,10,3370,0,2014,0,98075,47.5965,-122.013,3710,8252,1070000
+7987400285,4/29/15,3,2.5,2040,2500,2,0,0,3,7,1470,570,2008,0,98126,47.573,-122.372,1410,2500,494900
+9532000500,8/1/14,3,2.5,1610,3600,2,0,0,3,8,1610,0,2010,0,98072,47.771,-122.169,2210,3600,415000
+8564860280,5/2/14,3,2.5,2680,5539,2,0,0,3,8,2680,0,2013,0,98045,47.4761,-121.734,2990,6037,459990
+8691440440,10/3/14,4,3.5,3560,6562,2,0,0,3,10,3560,0,2014,0,98075,47.5929,-121.974,3710,6562,882990
+1099950050,12/29/14,4,3.5,3880,8244,2,0,0,3,10,3060,820,2007,0,98019,47.7426,-121.976,3180,10947,620000
+3304040130,2/12/15,3,2,1824,7120,1,0,0,3,9,1824,0,2010,0,98001,47.3457,-122.27,2409,6264,375900
+8562790480,10/6/14,3,2.5,2220,2873,2,0,0,3,10,2010,210,2012,0,98027,47.5311,-122.074,2290,3213,654000
+4457300005,3/25/15,4,3.25,4140,11007,2,0,0,3,10,4140,0,2013,0,98040,47.5707,-122.217,2150,9663,1840000
+8856003839,12/10/14,3,2.5,1322,6006,2,0,0,3,7,1322,0,2009,0,98001,47.2706,-122.254,1440,6796,215000
+1972200728,11/24/14,3,2.5,1909,1300,3,0,0,3,8,1766,143,2006,0,98103,47.6538,-122.352,1780,1248,630500
+8691420050,11/7/14,4,3.5,3460,7702,2,0,0,3,10,3460,0,2010,0,98075,47.5942,-121.977,3380,7464,855000
+6601200020,1/27/15,4,2.5,1954,5075,2,0,0,3,8,1954,0,2007,0,98001,47.2606,-122.253,1934,5000,235245
+200480020,7/10/14,5,2.5,3000,7912,1,0,0,3,9,1610,1390,2007,0,98033,47.6765,-122.175,2700,7205,770000
+7203170190,6/19/14,4,2.5,2650,6884,2,0,0,3,8,2650,0,2012,0,98053,47.6901,-122.015,2520,5866,734990
+3885802134,1/9/15,4,2.5,2580,3436,2,0,0,3,8,2580,0,2013,0,98033,47.6853,-122.21,1780,5772,880000
+9578060420,1/14/15,4,3,2650,4924,2,0,0,3,8,2650,0,2011,0,98028,47.7734,-122.238,2380,4733,525000
+3630200080,8/7/14,4,3.5,3390,3960,2,0,0,3,10,3390,0,2008,0,98027,47.5406,-121.995,2990,3400,775000
+3876900089,4/30/15,3,1.75,1470,873,3,0,0,3,10,1470,0,2009,0,98119,47.6256,-122.362,1410,967,687015
+3630130130,11/12/14,3,2.5,1910,5125,2,0,0,3,9,1910,0,2006,0,98029,47.5481,-121.995,1910,3215,663000
+3326059253,3/30/15,4,2.5,3030,7187,2,0,0,3,9,3030,0,2005,0,98033,47.6934,-122.166,3030,7187,815000
+2224069109,4/27/15,4,3.25,2930,25020,2,0,0,3,9,2930,0,2013,0,98029,47.5514,-122.023,2400,32374,1050000
+3862700020,4/23/15,3,2.5,1650,2787,2,0,0,3,8,1650,0,2014,0,98065,47.5336,-121.838,1760,2787,433190
+3629980080,12/10/14,4,2.5,2870,5118,2,0,0,3,9,2870,0,2006,0,98029,47.5544,-121.99,2940,4800,725000
+7299600950,4/8/15,3,2.5,1608,4800,2,0,0,3,8,1608,0,2013,0,98092,47.2585,-122.201,2009,4800,279950
+5528600005,3/27/15,2,2.5,1620,3795,2,0,0,3,7,1620,0,2014,0,98027,47.5321,-122.034,1620,6000,272167
+3052700419,6/16/14,3,2.5,1350,1186,2,0,0,3,8,1120,230,2007,0,98117,47.6786,-122.375,1500,1605,468500
+9542840630,6/2/14,3,2.5,1950,3600,2,0,0,3,7,1950,0,2010,0,98038,47.3658,-122.021,1870,4184,298000
+7896300592,1/14/15,6,4.5,3390,7200,2,0,0,3,8,2440,950,2007,0,98118,47.5205,-122.288,2040,7214,303500
+9268850480,4/10/15,3,1.75,1300,1237,2,0,0,3,7,1060,240,2008,0,98027,47.539,-122.026,1350,942,308000
+3629700020,4/15/15,3,3,2230,1407,2.5,0,0,3,8,1850,380,2014,0,98027,47.5446,-122.017,2230,1407,646800
+8648900010,1/2/15,4,2.5,1880,3853,2,0,0,3,8,1880,0,2010,0,98027,47.5636,-122.094,1890,3078,530200
+5422950170,11/12/14,5,2.5,3370,5092,2,0,0,3,7,3370,0,2006,0,98038,47.3594,-122.036,2910,5092,405000
+2768200213,7/24/14,2,2.5,1320,1395,2,0,0,3,8,990,330,2014,0,98107,47.6689,-122.362,1550,1519,529000
+642150080,9/8/14,3,2.5,2920,9096,2,0,0,3,9,2920,0,2013,0,98059,47.4855,-122.149,2930,7995,675900
+2770601912,4/2/15,3,3.25,1550,1280,2,0,0,3,9,1220,330,2013,0,98199,47.6493,-122.384,1550,1579,570000
+3304040020,12/26/14,4,2.5,2301,6452,2,0,0,3,9,2301,0,2010,0,98001,47.346,-122.269,2650,6054,375500
+3629960170,10/21/14,3,3.25,1710,1960,2,0,0,3,8,1360,350,2004,0,98029,47.5479,-122.003,1420,955,445000
+1238900130,1/5/15,4,3.75,2890,4164,2,0,0,3,9,2240,650,2013,0,98033,47.676,-122.197,2354,3207,1100000
+6056100114,8/25/14,3,2.5,2100,5060,2,0,0,3,7,2100,0,2006,0,98108,47.563,-122.298,1520,2468,477000
+4140940130,11/21/14,3,2.75,2240,3360,2,0,0,3,8,2100,140,2014,0,98178,47.4999,-122.232,1790,5873,450000
+6824100007,3/26/15,3,3,1460,1200,3,0,0,3,8,1460,0,2006,0,98117,47.7,-122.367,1460,1245,427005
+1959700225,2/24/15,3,1.75,1370,1990,3,0,0,3,9,1370,0,2014,0,98102,47.6434,-122.324,1730,1990,720000
+518500460,10/8/14,3,3.5,3760,5634,2,1,4,3,11,2830,930,2014,0,98056,47.5285,-122.205,3560,5762,2230000
+923059252,5/27/14,4,3.25,2510,5311,2,0,0,3,9,2510,0,2009,0,98056,47.5028,-122.17,1590,9583,450800
+3052700213,8/29/14,2,2.25,1210,1267,2,0,0,3,8,1120,90,2010,0,98117,47.6783,-122.376,1360,1349,461100
+2428100080,10/1/14,4,3,2990,6695,2,0,0,3,10,2990,0,2014,0,98075,47.5817,-122.047,2760,6600,1060000
+9276202130,4/8/15,3,2.5,1710,2875,2,0,0,3,8,1710,0,2006,0,98116,47.5787,-122.392,1640,5750,590000
+3845100670,7/16/14,4,2.5,3274,4950,2,0,0,3,9,3274,0,2014,0,98092,47.2603,-122.195,2578,4200,478830
+4319200675,7/9/14,4,2.25,3300,8365,3,0,0,3,9,3300,0,2014,0,98126,47.5363,-122.377,1290,8369,760000
+323059327,7/3/14,4,3.5,4370,10860,2,0,0,3,11,4370,0,2008,0,98059,47.5066,-122.148,3560,8070,1030000
+3448720020,6/13/14,4,2.5,2050,5276,2,0,0,3,7,2050,0,2006,0,98059,47.491,-122.15,2480,5447,385000
+7234600832,5/16/14,2,2.5,1310,1500,2,0,0,3,8,1160,150,2006,0,98122,47.6112,-122.309,1320,1581,500000
+4045500950,4/15/15,3,1.5,1680,8000,1.5,0,0,3,7,1680,0,2012,0,98014,47.6923,-121.869,1990,26336,425000
+7234600098,9/5/14,3,3,1330,1379,2,0,0,4,8,1120,210,2005,0,98122,47.6126,-122.313,1810,1770,552100
+666000143,12/29/14,3,3,1950,1983,3,0,0,3,9,1610,340,2009,0,98004,47.6078,-122.202,2040,2131,785000
+3343903611,3/23/15,5,3.25,3090,7069,2,0,0,3,9,3090,0,2012,0,98056,47.5114,-122.196,2480,8000,615000
+1760650950,4/23/15,3,2.5,1950,3825,2,0,0,3,7,1950,0,2013,0,98042,47.3588,-122.082,1950,3825,309000
+5100403818,2/20/15,3,2,1108,1128,3,0,0,3,7,1108,0,2009,0,98115,47.6961,-122.318,1285,1253,369500
+2325400170,2/11/15,4,2.25,2190,3850,2,0,0,3,7,2190,0,2006,0,98059,47.4861,-122.161,2190,3980,391000
+5700000446,10/29/14,3,1.75,1590,1322,2,0,0,3,8,1060,530,2014,0,98144,47.5753,-122.294,1530,5400,465000
+9492500010,6/6/14,4,2.75,3010,7215,2,0,0,3,9,3010,0,2014,0,98033,47.6952,-122.178,3010,7215,879950
+2461900446,10/23/14,3,2,1330,1042,2,0,0,3,8,1060,270,2014,0,98136,47.5522,-122.382,1440,2428,372000
+8669160170,5/22/14,3,2.5,1550,3569,2,0,0,3,7,1550,0,2011,0,98002,47.3528,-122.211,2095,3402,259000
+3644100101,7/7/14,2,1.5,1260,1575,2,0,0,3,7,1260,0,2001,0,98144,47.5914,-122.295,1220,1740,374000
+7852090680,3/5/15,4,2.5,2550,5395,2,0,0,3,8,2550,0,2001,0,98065,47.5355,-121.874,2850,6109,561000
+5693501028,4/3/15,3,2.5,1300,1331,3,0,0,3,8,1300,0,2007,0,98103,47.6607,-122.352,1450,5270,610000
+3629700080,1/8/15,3,3,2230,1407,2.5,0,0,3,8,1850,380,2014,0,98027,47.5446,-122.017,2290,1407,635000
+3278600680,6/27/14,1,1.5,1170,1456,2,0,0,3,8,1070,100,2007,0,98126,47.5493,-122.372,1360,1730,235000
+2738640470,7/16/14,4,3.5,4170,4524,2,0,0,3,9,3500,670,2007,0,98072,47.7726,-122.162,3510,5001,623300
+7853320950,10/23/14,3,2,1680,5246,1,0,0,3,7,1680,0,2007,0,98065,47.5206,-121.868,2430,6883,412500
+5635100050,11/21/14,4,3.25,2864,8035,3,0,0,3,8,2864,0,2014,0,98030,47.3746,-122.189,2419,8984,380000
+3629990280,6/23/14,3,2.25,1630,3817,2,0,0,3,7,1630,0,2005,0,98029,47.5485,-121.999,1630,3348,497000
+6306800020,11/11/14,4,2.5,2716,7850,2,0,0,3,9,2716,0,2014,0,98030,47.352,-122.197,2580,14448,452000
+7697000170,10/25/14,3,2.5,1750,4076,2,0,0,3,7,1750,0,2013,0,98038,47.3597,-122.045,1810,4090,312000
+5057100080,9/19/14,5,3,3223,6371,2,0,0,3,9,3223,0,2014,0,98042,47.3588,-122.163,1979,19030,469950
+5276200020,8/5/14,5,2.5,2600,4284,2,0,0,3,9,2600,0,2014,0,98136,47.5409,-122.39,1620,5000,775000
+5727500006,4/27/15,4,2.75,3320,8653,2,0,0,3,8,3320,0,2014,0,98133,47.7521,-122.334,2140,8727,679990
+9268850130,6/27/14,4,2,1350,942,3,0,0,3,7,1350,0,2008,0,98027,47.5401,-122.026,1390,942,288790
+9293000170,4/8/15,5,2.5,3410,4726,2,0,0,3,9,3410,0,2007,0,98006,47.5459,-122.184,2810,5129,800000
+7299601870,4/27/15,3,2.5,1572,4000,2,0,0,3,8,1572,0,2013,0,98092,47.2615,-122.198,1608,5175,299000
+1760650500,1/29/15,4,2.5,2300,4482,2,0,0,3,7,2300,0,2013,0,98042,47.3599,-122.082,2300,3825,332000
+7174800094,4/20/15,1,1.5,1030,5923,1,0,0,3,8,1030,0,1940,0,98105,47.6653,-122.305,2650,5000,525000
+6909200007,9/3/14,3,1.75,1458,858,2,0,0,3,8,950,508,2014,0,98144,47.592,-122.293,1458,3000,620000
+7853321150,11/3/14,4,2.5,2190,6896,2,0,0,3,7,2190,0,2007,0,98065,47.5191,-121.869,2190,5900,452000
+1105000402,10/28/14,4,3,3640,5096,2,0,0,3,8,2740,900,2010,0,98118,47.5428,-122.27,1910,9189,630000
+1442870420,7/24/14,4,2.75,2790,7803,2,0,0,3,8,2790,0,2013,0,98045,47.4823,-121.772,2620,6178,485000
+3682000050,10/13/14,4,2.5,2632,4117,2,0,0,3,8,2632,0,2013,0,98001,47.3428,-122.278,2040,5195,349950
+1442880080,7/1/14,4,2.75,2910,6334,2,0,0,3,8,2910,0,2013,0,98045,47.4826,-121.771,2790,6352,499990
+7169500020,12/5/14,2,2.25,1470,1101,2,0,0,3,8,1340,130,2005,0,98115,47.6768,-122.301,1470,1582,510000
+2911700010,3/3/15,3,2.5,2240,21477,2,0,2,3,8,2240,0,1995,0,98006,47.5745,-122.18,2930,21569,1080000
+9578060470,5/8/14,3,2.5,2310,4729,2,0,0,3,8,2310,0,2011,0,98028,47.7734,-122.237,2440,4711,494000
+1776460190,6/26/14,3,2.5,2370,5353,2,0,0,3,8,2370,0,2009,0,98019,47.7333,-121.975,2130,6850,429900
+3449500050,10/15/14,4,2.75,2980,9825,1,0,0,3,8,1910,1070,2007,0,98056,47.5073,-122.172,2580,12231,505000
+2309710130,7/15/14,4,2,1870,6551,1,0,3,3,7,1870,0,2009,0,98022,47.1934,-121.977,2280,5331,272000
+1972201511,2/10/15,3,2.5,1770,1714,3,0,0,3,8,1770,0,2012,0,98103,47.6532,-122.348,1720,3360,671500
+7852120050,3/11/15,4,3.5,3510,10010,2,0,0,3,10,3510,0,2001,0,98065,47.5412,-121.876,4200,9935,729950
+3814900660,7/21/14,4,2.5,3281,5354,2,0,0,3,9,3281,0,2014,0,98092,47.3273,-122.163,2598,4815,471835
+8141310080,11/3/14,3,2,1670,4438,1,0,0,3,7,1670,0,2014,0,98022,47.1948,-121.974,1670,4558,249950
+7207900050,8/8/14,5,3.5,2760,3846,2.5,0,0,3,8,2760,0,2013,0,98056,47.5047,-122.17,2760,4587,424950
+2424059163,7/9/14,5,3.5,5430,10327,2,0,2,3,10,4010,1420,2007,0,98006,47.5476,-122.116,4340,10324,1240000
+2140950130,9/11/14,4,2.5,2990,7928,2,0,0,3,9,2990,0,2011,0,98010,47.3139,-122.024,2810,7401,440000
+1776230190,4/8/15,4,3.5,3170,3858,2,0,0,3,8,2530,640,2008,0,98059,47.5049,-122.155,2640,3844,495000
+3524039224,5/13/14,4,2.5,3520,6773,2.5,0,0,3,9,2650,870,2006,0,98136,47.5317,-122.391,2930,6458,870000
+5694500840,11/25/14,2,3,1650,960,3,0,0,3,8,1350,300,2015,0,98103,47.6611,-122.346,1650,3000,559000
+4014400381,5/7/14,4,2.75,2656,21195,2,0,0,3,9,2656,0,2014,0,98001,47.3162,-122.272,1860,16510,495000
+2838000130,2/13/15,3,2.5,2230,4850,2,0,0,3,8,2230,0,2014,0,98133,47.7295,-122.334,2230,4513,722000
+8562770430,7/2/14,3,2.5,2280,2502,2,0,0,3,8,1880,400,2006,0,98027,47.5364,-122.073,2280,2812,567500
+1402970020,12/17/14,4,2.5,2798,5085,2,0,0,3,9,2798,0,2011,0,98092,47.3308,-122.187,2502,5707,440000
+3943600020,8/29/14,4,2.5,2398,5988,2,0,0,3,8,2398,0,2008,0,98055,47.452,-122.204,2370,5988,400000
+1438000430,10/6/14,4,2.5,2350,3760,2,0,0,3,8,2350,0,2014,0,98059,47.4786,-122.123,2590,4136,459995
+1601600167,5/7/14,5,2.75,2410,5003,1,0,0,3,7,1410,1000,2008,0,98118,47.5298,-122.274,1590,5003,365000
+1773100541,4/17/15,3,2.25,1580,920,3,0,0,3,8,1580,0,2015,0,98106,47.5578,-122.363,1250,1150,389950
+1773100924,7/8/14,3,3.25,1450,1387,2,0,0,3,8,1180,270,2013,0,98106,47.5556,-122.362,1450,1198,320000
+982850080,6/13/14,4,2.5,1750,4779,2,0,0,3,7,1750,0,2009,0,98028,47.7608,-122.232,1580,4687,415500
+7628700050,3/9/15,3,2.5,3020,4120,2,0,0,3,9,2360,660,2008,0,98126,47.5714,-122.373,2280,4120,775000
+8673400020,3/11/15,3,3,1740,1100,3,0,0,3,8,1740,0,2007,0,98107,47.67,-122.391,1370,1180,590000
+8725950170,1/23/15,2,2.25,2200,2043,2,0,0,3,9,1760,440,2007,0,98004,47.6213,-122.2,2020,1957,950000
+6306800080,8/6/14,4,2.5,1867,15314,2,0,0,3,9,1867,0,2013,0,98030,47.3524,-122.198,2616,8048,378950
+3362401763,5/8/14,2,1.5,1020,1060,3,0,0,3,8,1020,0,2008,0,98103,47.6801,-122.348,1340,1415,441750
+301401630,10/31/14,4,2.75,2475,4000,2,0,0,3,7,2475,0,2014,0,98002,47.345,-122.209,2475,4000,335900
+6056110780,6/27/14,2,1.75,1110,1773,2,0,0,3,8,1110,0,2014,0,98108,47.5647,-122.293,1420,2855,229800
+6819100352,3/10/15,3,2.5,1900,1258,2.5,0,0,3,7,1700,200,2007,0,98119,47.6465,-122.358,1780,1877,645000
+9297302031,4/23/15,3,3.25,1560,1345,2,0,0,3,8,1260,300,2009,0,98126,47.5637,-122.375,1560,4800,448000
+7203150080,12/16/14,4,2.5,2510,5436,2,0,0,3,8,2510,0,2011,0,98053,47.6894,-122.016,2520,5436,706000
+2937300050,2/27/15,4,4.75,4150,6303,3,0,0,3,9,4150,0,2014,0,98052,47.7047,-122.123,3570,6285,988990
+9521100029,7/16/14,3,3,1660,1849,3,0,0,3,9,1660,0,2013,0,98103,47.6649,-122.353,1660,3300,716000
+832700170,4/21/15,2,1.5,1090,847,3,0,0,3,8,1090,0,2009,0,98133,47.7235,-122.352,1090,1118,319000
+6817750440,10/14/14,4,2.5,1914,3272,2,0,0,3,8,1914,0,2009,0,98055,47.4297,-122.189,1714,3250,300000
+123059127,5/2/14,4,3.25,2730,54014,1,0,0,3,9,1560,1170,2007,0,98059,47.5133,-122.11,2730,111274,625000
+3630200430,5/14/14,3,2.75,2470,3600,2,0,0,3,9,2470,0,2007,0,98029,47.5406,-121.994,2570,3600,773000
+3448740430,9/25/14,5,2.5,2340,5670,2,0,0,3,7,2340,0,2009,0,98059,47.4913,-122.152,2190,4869,392000
+1438000190,9/11/14,4,3.5,2660,5690,2,0,0,3,8,1920,740,2014,0,98059,47.4775,-122.122,2970,5690,549995
+7853320250,9/20/14,3,2.5,2410,4656,2,0,0,3,7,2410,0,2009,0,98065,47.5203,-121.874,2410,4840,480000
+100300280,10/20/14,3,2.25,1430,4777,2,0,0,3,7,1430,0,2010,0,98059,47.4867,-122.152,1639,3854,355000
+8862500280,12/30/14,2,2.5,1570,1268,3,0,0,3,7,1570,0,2007,0,98106,47.534,-122.365,1570,1300,208400
+1042700080,8/22/14,5,2.75,3010,4919,2,0,0,3,9,3010,0,2014,0,98074,47.6067,-122.052,3230,5415,831548
+4051150080,11/17/14,4,2.5,1613,4338,2,0,0,3,7,1613,0,2009,0,98042,47.3859,-122.162,1427,4341,279500
+5592200010,2/27/15,3,2.5,2380,5269,2,0,0,3,8,2380,0,2008,0,98056,47.5066,-122.192,2150,7600,445000
+7787920080,6/16/14,5,2.5,2570,9962,2,0,0,3,8,2570,0,2006,0,98019,47.7275,-121.957,2890,9075,492500
+3448740190,7/9/14,4,2.5,2550,5200,2,0,0,3,7,2550,0,2009,0,98059,47.4919,-122.153,2550,4660,435000
+8822900122,5/12/15,3,2.25,1330,969,3,0,0,3,7,1330,0,2007,0,98125,47.7177,-122.292,1310,1941,325000
+4083300098,11/17/14,2,1.5,1160,1269,2,0,0,3,7,970,190,2005,0,98103,47.6608,-122.335,1700,3150,453000
+1438000170,8/22/14,5,3.5,3240,6919,2,0,0,3,8,2760,480,2014,0,98059,47.4779,-122.122,2970,5690,612995
+7853360480,9/4/14,4,2.5,2710,9248,2,0,0,3,7,2710,0,2011,0,98065,47.5164,-121.875,2710,5000,540000
+522059130,4/29/15,3,1,1150,18200,1,0,0,5,7,1150,0,1959,0,98058,47.4262,-122.187,1714,18200,465000
+4385700185,8/12/14,3,2.25,1860,1386,3,0,0,3,9,1860,0,2014,0,98112,47.6368,-122.279,1680,3080,799950
+2768301476,11/24/14,3,2.25,1280,1517,2,0,0,3,8,1080,200,2008,0,98107,47.6651,-122.368,1280,1681,495000
+1862400541,2/28/15,3,2.5,1810,1585,3,0,0,3,7,1810,0,2014,0,98117,47.6957,-122.376,1560,1586,579950
+8562780280,2/20/15,2,2.25,1240,720,2,0,0,3,7,1150,90,2008,0,98027,47.5322,-122.072,1260,810,331000
+9528101061,8/25/14,4,3.5,1460,951,3,0,0,3,8,1460,0,2008,0,98115,47.6821,-122.326,1430,1282,580000
+6056110460,4/14/15,2,2.5,1640,1953,2,0,0,3,10,1640,0,2014,0,98118,47.5639,-122.292,1820,2653,669000
+2154970020,7/3/14,4,4.25,5010,19412,2,0,1,3,11,4000,1010,2014,0,98040,47.5455,-122.211,3820,17064,2350000
+5694500497,1/16/15,3,3.25,1300,1325,2,0,0,3,8,1080,220,2005,0,98103,47.6584,-122.346,1290,1323,539900
+7708200670,7/23/14,4,2.5,2510,4349,2,0,0,3,8,2510,0,2010,0,98059,47.4927,-122.147,2510,4314,490000
+8562770050,5/27/14,3,3.5,2710,3475,2,0,0,3,8,1650,1060,2005,0,98027,47.5359,-122.072,2440,2867,627000
+1441000470,7/28/14,4,3.5,3217,4000,2,0,0,3,8,2587,630,2008,0,98055,47.4483,-122.203,2996,5418,458000
+6056100293,11/10/14,3,2.5,1650,4929,2,0,0,3,7,1520,130,2007,0,98108,47.5634,-122.298,1520,2287,440000
+6600000050,3/10/15,4,3.5,3950,6240,2,0,0,3,11,3950,0,2015,0,98112,47.6221,-122.29,2040,6240,1700000
+1732800199,5/11/15,2,2.5,1680,977,3,0,0,3,9,1680,0,2009,0,98119,47.632,-122.361,1680,977,935000
+7853360470,4/17/15,5,3.5,3420,6403,2,0,2,3,8,2700,720,2013,0,98065,47.5162,-121.874,2710,6038,641000
+3438501583,9/11/14,3,2.75,2300,5090,2,0,0,3,8,1700,600,2007,0,98106,47.545,-122.36,1530,9100,452000
+7853370250,12/23/14,4,2.75,3010,6854,2,0,2,3,9,2570,440,2012,0,98065,47.5171,-121.876,1830,2952,625000
+2387600010,3/3/15,4,3.5,4680,12495,2,0,0,3,10,3040,1640,2008,0,98033,47.6984,-122.206,3240,10749,1350000
+8946780080,9/8/14,5,3.5,3630,4911,2,0,0,3,9,2790,840,2014,0,98034,47.718,-122.156,3600,4992,834950
+9402800005,10/28/14,3,3.5,3530,3610,2,0,0,3,10,2370,1160,2008,0,98103,47.6857,-122.339,1780,3610,1500000
+5422950080,8/25/14,4,2.5,2280,3800,2,0,0,3,7,2280,0,2006,0,98038,47.3586,-122.036,2630,4045,305000
+2826079027,11/12/14,3,2.5,3090,384634,2,0,0,3,8,3090,0,2007,0,98019,47.7072,-121.927,2200,292645,659000
+6003000851,5/22/14,1,1,550,1279,2,0,0,3,7,550,0,2008,0,98122,47.616,-122.314,1460,1385,353000
+7394400080,3/4/15,4,3.25,2840,4000,2,0,3,3,9,2330,510,2014,0,98108,47.5529,-122.293,2160,4867,535000
+1238501184,7/8/14,4,2.5,3130,10849,2,0,0,3,10,3130,0,2013,0,98033,47.6828,-122.186,2470,9131,999000
+263000009,1/29/15,3,2.5,1440,1102,3,0,0,3,8,1440,0,2009,0,98103,47.6995,-122.346,1440,1434,375000
+5101408889,6/16/14,4,3.5,2840,4637,3,0,0,3,8,2840,0,2008,0,98125,47.7033,-122.321,1730,5279,685000
+7299601410,8/8/14,4,2.5,2623,7184,2,0,0,3,8,2623,0,2012,0,98092,47.259,-122.202,2010,4939,333000
+9266700190,5/11/15,1,1,390,2000,1,0,0,4,6,390,0,1920,0,98103,47.6938,-122.347,1340,5100,245000
+2424059174,5/8/15,4,3.25,5640,35006,2,0,2,3,11,4900,740,2015,0,98006,47.5491,-122.104,4920,35033,2000000
+8562780290,10/15/14,2,2.25,1260,1032,2,0,0,3,7,1170,90,2008,0,98027,47.5323,-122.072,1240,809,329950
+5100400244,4/20/15,2,1,894,1552,2,0,0,3,7,894,0,2011,0,98115,47.6911,-122.313,1131,1992,403000
+3744000130,11/11/14,4,2.5,3370,4934,2,0,0,3,9,3370,0,2014,0,98038,47.3562,-122.022,2980,5046,559630
+993001976,8/18/14,3,2.25,1250,871,3,0,0,3,8,1250,0,2007,0,98103,47.6907,-122.343,1250,1158,344000
+525049174,4/2/15,3,1.5,1180,1231,3,0,0,3,7,1180,0,2008,0,98115,47.6845,-122.315,1280,3360,435000
+5393600562,5/22/14,2,2.5,1520,1588,2,0,0,3,8,1240,280,2007,0,98144,47.5825,-122.313,1660,6000,430000
+4187000190,11/17/14,3,2.5,2000,4500,2,0,0,3,7,2000,0,2010,0,98059,47.4937,-122.149,2230,4501,417000
+2862500190,4/9/15,5,2.75,3180,9255,2,0,0,3,9,3180,0,2014,0,98074,47.6232,-122.023,3180,7782,895950
+5045700470,3/19/15,4,2.75,3050,4750,2,0,0,3,8,3050,0,2014,0,98059,47.4857,-122.153,2730,5480,563950
+2924079034,9/25/14,3,1.5,2580,47480,1,0,0,3,7,1360,1220,1953,0,98024,47.5333,-121.933,1760,48181,332220
+8835770170,8/22/14,5,6,6880,279968,2,0,3,3,12,4070,2810,2007,0,98045,47.4624,-121.779,4690,256803,1490000
+3630200480,6/12/14,3,2.5,2570,3600,2.5,0,0,3,9,2570,0,2007,0,98027,47.5412,-121.994,2570,3600,680000
+8562790080,2/9/15,4,3.5,2950,3737,2,0,0,3,10,2270,680,2012,0,98027,47.5313,-122.074,2580,3581,825750
+8165500780,12/9/14,3,2.5,1690,1760,2,0,0,3,8,1410,280,2014,0,98106,47.5387,-122.367,1740,1760,338000
+1442870050,7/18/14,4,2.75,2790,6969,2,0,0,3,8,2790,0,2012,0,98045,47.4836,-121.769,2620,6307,535365
+1704900303,12/11/14,3,2.25,1720,5234,2,0,0,3,9,1240,480,2011,0,98118,47.5547,-122.278,1720,5825,608000
+6132600655,10/16/14,3,2.25,2890,5000,3,0,0,3,9,2890,0,2014,0,98117,47.6983,-122.389,2020,5000,930000
+3421069049,10/21/14,2,1.75,1130,276170,1,0,0,3,8,1130,0,2006,0,98022,47.2673,-122.027,2092,217800,565000
+7169500130,12/19/14,2,2.25,1460,1623,2,0,0,3,8,1260,200,2005,0,98115,47.6764,-122.301,1460,1137,495000
+8732900840,7/22/14,3,2.5,2510,3819,2,0,0,3,8,2510,0,2007,0,98052,47.6987,-122.096,2520,3990,667000
+5379803372,11/12/14,4,2.5,3390,7870,2,0,0,3,8,3390,0,2014,0,98188,47.4536,-122.274,1960,10069,495000
+2937300430,9/29/14,4,2.5,3570,6054,2,0,0,3,9,3570,0,2014,0,98052,47.7053,-122.126,3600,6050,928990
+5422950020,6/30/14,4,2.5,2280,5000,2,0,0,3,7,2280,0,2006,0,98038,47.3593,-122.037,2910,5000,345000
+3797001702,12/16/14,5,3.5,2920,3000,2,0,0,3,9,2260,660,2014,0,98103,47.6846,-122.349,1580,4000,1070000
+1438000130,7/3/14,4,3,2590,6160,2,0,0,3,8,2590,0,2014,0,98059,47.4784,-122.122,2670,5600,519995
+1853080130,11/5/14,5,2.75,3210,8001,2,0,0,3,9,3210,0,2014,0,98074,47.5935,-122.061,3190,6624,924000
+741500010,4/24/15,3,2,1230,3405,1,0,0,3,7,1230,0,2010,0,98058,47.438,-122.179,1440,4066,295000
+3123089027,7/21/14,3,2.5,3800,104979,2,0,0,3,8,3210,590,2005,0,98045,47.4304,-121.841,2040,109771,472000
+3630080190,8/1/14,3,2.5,1500,2314,2,0,0,3,7,1500,0,2005,0,98029,47.5537,-121.998,1440,2170,405000
+3782760080,7/18/14,4,2.25,2510,4090,2,0,0,3,8,1840,670,2012,0,98019,47.7345,-121.967,2070,4090,410000
+8024200684,11/25/14,3,1.5,1400,1091,3,0,0,3,8,1400,0,2007,0,98115,47.6989,-122.317,1270,1413,419500
+982850020,9/3/14,3,2.25,1450,4667,2,0,0,3,7,1450,0,2009,0,98028,47.7611,-122.233,1490,4667,382000
+5649600462,2/24/15,2,2.5,1390,1821,2,0,0,3,7,1180,210,2007,0,98118,47.5537,-122.282,1350,1821,370000
+3449820430,10/6/14,3,2.75,3160,9072,2,0,0,3,9,3160,0,2005,0,98056,47.5147,-122.177,3160,9072,553000
+9533100285,6/30/14,4,3.75,4350,7965,2,0,0,3,10,4350,0,2013,0,98004,47.6289,-122.205,2190,8557,2070000
+923059259,4/1/15,4,2.5,2720,5771,2,0,0,3,8,2720,0,2015,0,98056,47.4917,-122.17,1940,4184,455950
+6431000748,10/27/14,3,3.25,1290,1153,3,0,0,3,7,1290,0,2008,0,98103,47.6904,-122.346,1290,1200,331000
+3753000010,5/7/14,3,2.25,1606,1452,3,0,0,3,8,1606,0,2009,0,98125,47.7175,-122.284,1516,1939,417250
+6169901185,5/20/14,5,3.5,4460,2975,3,0,2,3,10,3280,1180,2015,0,98119,47.6313,-122.37,2490,4231,490000
+2309710150,8/4/14,4,3.25,2800,5291,2,0,0,3,7,2800,0,2011,0,98022,47.1937,-121.977,2380,5291,325000
+1773600264,2/23/15,5,3.5,3250,4800,2,0,0,3,9,2410,840,2010,0,98106,47.5618,-122.362,1330,4920,705000
+6061500100,7/17/14,6,3.5,4310,7760,2,0,0,3,10,3260,1050,2013,0,98059,47.5297,-122.155,4620,10217,1170000
+1282300995,2/22/15,3,2.25,1310,915,2,0,0,3,7,1060,250,2007,0,98144,47.5738,-122.293,1500,1215,365000
+597000593,11/17/14,2,1.5,1240,1101,2,0,0,3,8,1080,160,2009,0,98144,47.5758,-122.309,1530,1209,403000
+7853321110,8/13/14,3,2.5,1950,7263,2,0,0,3,7,1950,0,2007,0,98065,47.5194,-121.869,2190,5900,409000
+3278612450,4/7/15,3,2.5,1800,1120,2,0,0,3,8,1800,0,2011,0,98126,47.5436,-122.369,1800,2380,391000
+1438000120,6/16/14,4,2.5,2650,5600,2,0,0,3,8,2650,0,2014,0,98059,47.4786,-122.122,2650,5600,542525
+9521100301,5/7/14,2,1,820,681,3,0,0,3,8,820,0,2006,0,98103,47.6619,-122.352,820,1156,339950
+1442870040,8/19/14,4,2.75,2620,7001,2,0,0,3,8,2620,0,2012,0,98045,47.4838,-121.769,2620,6543,499990
+644000115,9/23/14,4,3.25,3980,10249,2,0,0,3,10,3980,0,2011,0,98004,47.5873,-122.196,2450,10912,1770000
+6372000297,3/23/15,3,3.5,1660,2298,2,0,0,3,8,1260,400,2009,0,98116,47.5809,-122.403,1500,2198,608000
+6600060150,3/12/15,4,2.5,2130,4028,2,0,0,3,8,2130,0,2014,0,98146,47.5108,-122.363,1830,7817,392000
+774101755,4/17/15,3,1.75,1790,66250,1.5,0,0,3,7,1790,0,2003,0,98014,47.7179,-121.403,1440,59346,320000
+2895800750,4/17/15,3,1.75,1410,1988,2,0,0,3,8,1410,0,2014,0,98106,47.5171,-122.347,1410,1899,274800
+2424039029,4/27/15,3,2.25,1330,1198,2,0,0,3,8,1080,250,2007,0,98106,47.555,-122.362,1260,1062,325000
+3448740360,4/29/15,4,2.5,2190,4866,2,0,0,3,7,2190,0,2009,0,98059,47.4907,-122.152,2190,5670,418500
+3832050580,5/2/14,3,2.5,2540,5050,2,0,0,3,7,2540,0,2006,0,98042,47.3358,-122.055,2280,5050,300000
+3094000210,1/5/15,3,2.5,2244,4079,2,0,0,3,7,2244,0,2012,0,98001,47.2606,-122.254,2077,4078,269950
+321030150,5/6/15,3,2.5,2026,7611,2,0,0,3,8,2026,0,2010,0,98042,47.3733,-122.162,2270,7611,358000
+7694200090,5/4/15,3,2.5,1730,4086,2,0,0,3,8,1730,0,2013,0,98146,47.5016,-122.341,2030,4086,350000
+3299710110,5/28/14,4,3.5,3910,8095,2,0,0,3,9,3130,780,2007,0,98029,47.5588,-122.036,3770,7021,782000
+3879900754,9/15/14,3,2.5,1580,1487,3,0,1,3,9,1580,0,2009,0,98119,47.6276,-122.359,1610,1297,779000
+8732900300,12/17/14,4,2.5,2510,3479,2,0,0,3,8,2510,0,2007,0,98052,47.6981,-122.099,2540,4171,685000
+6021503698,5/29/14,2,2.25,1000,905,3,0,0,3,8,1000,0,2006,0,98117,47.6842,-122.387,980,1023,305000
+3333000745,4/17/15,4,2.5,1660,2500,2,0,0,3,7,1660,0,2007,0,98118,47.5437,-122.283,1030,5000,350000
+3630220220,9/23/14,4,3.5,3060,4573,2,0,0,3,9,2410,650,2012,0,98029,47.5522,-122.001,3170,3634,775000
+9478500180,8/28/14,3,2.5,1980,4500,2,0,0,3,7,1980,0,2012,0,98042,47.3682,-122.117,1980,4500,317750
+2771602427,5/8/14,2,1,980,1179,2,0,0,3,8,980,0,2010,0,98119,47.6381,-122.375,1190,1600,438000
+1498301168,5/28/14,2,2.5,1050,1609,2,0,0,3,7,1050,0,2005,0,98144,47.5854,-122.313,1120,1693,325000
+8562790580,4/28/15,4,3.25,3080,4287,2,0,0,3,10,2230,850,2012,0,98027,47.5313,-122.076,2250,2520,830000
+2325400040,9/22/14,3,2.25,1900,3800,2,0,0,3,7,1900,0,2006,0,98059,47.4866,-122.16,1950,3800,353000
+5045700330,7/25/14,4,2.5,2200,6400,2,0,0,3,8,2200,0,2010,0,98059,47.4856,-122.156,2600,5870,460000
+3126049498,3/16/15,3,1.5,1360,1167,3,0,0,3,8,1360,0,2008,0,98103,47.6962,-122.349,1360,1167,370000
+9578140360,6/19/14,3,2.5,2238,7209,2,0,0,3,8,2238,0,2011,0,98023,47.2966,-122.353,2456,7212,330000
+3343901408,1/28/15,4,2.5,2590,6474,2,0,0,3,8,2590,0,2014,0,98056,47.5164,-122.19,1960,8679,569888
+7859910110,9/18/14,3,2.5,2517,3900,2,0,0,3,8,2517,0,2014,0,98092,47.3211,-122.182,2390,7108,353900
+7852120180,3/4/15,4,3.5,3510,9084,2,0,0,3,10,3510,0,2001,0,98065,47.5402,-121.875,3690,9568,695000
+9268850180,7/18/14,3,1.75,1290,1237,2,0,0,3,7,1060,230,2008,0,98027,47.54,-122.026,1370,942,288790
+6031400092,2/13/15,5,3,2230,8642,1,0,0,3,7,1330,900,2014,0,98168,47.487,-122.32,2100,11056,334950
+1853080790,12/15/14,4,2.75,3140,7928,2,0,0,3,9,3140,0,2013,0,98074,47.5923,-122.058,3500,7055,869950
+1624049291,10/8/14,3,3.5,3350,5025,2,0,2,3,8,2670,680,2014,0,98144,47.5699,-122.296,2030,5117,557500
+7237450100,9/19/14,4,2.5,2245,4330,2,0,0,3,8,2245,0,2014,0,98038,47.3557,-122.063,2530,4478,389990
+9521100214,6/4/14,3,1.75,1420,1189,3,0,0,3,8,1420,0,2006,0,98103,47.6625,-122.352,1380,1196,455000
+5693501102,10/30/14,3,3,1560,2091,3,0,0,3,8,1560,0,2006,0,98103,47.6604,-122.352,1530,2091,598500
+6891100590,3/2/15,4,2.75,2810,5497,2,0,0,3,9,2810,0,2011,0,98052,47.7081,-122.116,2990,5842,750000
+2254501095,11/13/14,2,2.25,1630,1686,2,0,0,3,10,1330,300,2014,0,98122,47.6113,-122.314,1570,2580,729999
+9478550110,3/3/15,3,2.5,1740,4497,2,0,0,3,7,1740,0,2012,0,98042,47.3697,-122.117,1950,4486,299950
+993001961,7/9/14,3,2.25,1390,1484,3,0,0,3,8,1390,0,2007,0,98103,47.6912,-122.343,1250,1087,374950
+9274200028,2/19/15,3,2.5,1070,1089,2,0,0,3,7,900,170,2009,0,98116,47.5902,-122.387,1450,1437,386950
+7708200180,7/10/14,5,3.25,2850,4551,2,0,0,3,8,2370,480,2006,0,98059,47.4916,-122.144,2850,4849,535000
+8691430330,8/31/14,5,3.25,4100,7578,2,0,2,3,10,4100,0,2011,0,98075,47.5955,-121.974,3710,8156,890000
+8924100308,2/3/15,4,2.5,3260,5974,2,0,1,3,9,2820,440,2007,0,98115,47.6772,-122.267,2260,6780,1050000
+1070000180,10/15/14,4,3.5,3660,4760,2,0,0,3,9,2840,820,2014,0,98199,47.6482,-122.409,3210,4640,1110000
+1085623630,10/3/14,4,2.5,2708,4772,2,0,0,3,9,2708,0,2014,0,98092,47.3413,-122.178,2502,4900,436952
+3278605550,6/9/14,3,2.5,1800,2700,2,0,0,3,8,1800,0,2011,0,98126,47.5458,-122.369,1580,2036,365000
+1139000062,6/25/14,3,2.5,1150,887,3,0,0,3,7,1150,0,2007,0,98133,47.7072,-122.356,1180,915,288000
+2838000180,2/20/15,3,2.5,2230,4006,2,0,0,3,8,2230,0,2014,0,98133,47.73,-122.335,2230,4180,700000
+2725079018,5/9/14,4,3.25,3540,159430,2,0,0,3,9,3540,0,2007,0,98014,47.6285,-121.899,1940,392040,800000
+7104100110,5/11/15,4,3.5,2490,5500,2,0,0,3,9,1780,710,2015,0,98136,47.5499,-122.393,1710,5500,899000
+259500230,12/18/14,3,2.5,2670,4534,2,0,0,3,9,2670,0,2007,0,98056,47.51,-122.184,3040,5079,465750
+9523100712,6/18/14,2,2.5,1430,923,3,0,0,3,8,1410,20,2008,0,98103,47.6683,-122.355,1620,1505,485000
+1438000360,6/3/14,5,2.75,2670,3800,2,0,0,3,8,2670,0,2014,0,98059,47.4783,-122.123,2670,3800,494995
+1608000120,2/2/15,3,2.5,2555,5720,2,0,0,3,8,2555,0,2006,0,98031,47.386,-122.184,2844,5769,255000
+7853361120,7/29/14,3,2.5,1970,6295,2,0,0,3,7,1970,0,2011,0,98065,47.5158,-121.874,2710,6009,530000
+2461900448,6/16/14,3,2,1980,2674,3,0,0,3,8,1980,0,2007,0,98136,47.5524,-122.382,1440,2674,435000
+1703400910,8/11/14,3,2.5,2010,3300,2,0,0,3,9,1610,400,2014,0,98118,47.5573,-122.287,1660,4950,639000
+8024200683,7/9/14,3,1.5,1270,1413,3,0,0,3,8,1270,0,2007,0,98115,47.6989,-122.317,1270,1413,440000
+9544700730,5/15/14,4,2.5,3950,10856,3,0,0,3,10,3950,0,2013,0,98075,47.5818,-121.996,3200,10856,914500
+8682320900,11/5/14,3,2,1870,5300,1,0,0,3,8,1870,0,2009,0,98053,47.7106,-122.02,1870,5050,580000
+3278600750,4/7/15,1,1.5,1180,1688,2,0,0,3,8,1070,110,2007,0,98126,47.549,-122.372,1380,2059,250000
+5676000008,3/16/15,3,2.5,1420,1269,3,0,0,3,7,1420,0,2007,0,98103,47.6904,-122.342,1420,1300,410000
+3744000150,9/28/14,4,2.75,2810,5046,2,0,0,3,9,2810,0,2014,0,98038,47.3559,-122.022,3060,4934,531155
+3630080120,9/19/14,3,2.5,1400,1529,2,0,0,3,7,1400,0,2005,0,98029,47.5535,-121.997,1440,1536,358000
+7853360620,7/1/14,3,2.5,1950,5689,2,0,0,3,7,1950,0,2009,0,98065,47.5158,-121.873,2190,5653,425000
+255550100,7/11/14,3,2.25,1930,3462,2,0,0,3,7,1930,0,2004,0,98019,47.7453,-121.985,1930,2952,326000
+9268200484,5/13/14,4,2.5,2210,4861,2,0,0,3,9,2210,0,2013,0,98117,47.6959,-122.364,1590,5080,650000
+8562790720,5/14/15,4,3.5,2630,3757,2,0,0,3,10,2200,430,2008,0,98027,47.5322,-122.075,2620,2699,749950
+7140700690,3/12/15,3,1.75,1600,4888,1,0,0,3,6,1600,0,2014,0,98042,47.383,-122.097,2520,5700,239950
+3624039183,6/9/14,3,2.5,1480,1590,2,0,0,3,8,1150,330,2010,0,98106,47.5302,-122.362,1480,5761,315000
+2254502071,5/23/14,2,2.5,750,1430,2,0,0,3,8,750,0,2006,0,98122,47.6093,-122.31,1320,2790,375000
+4310702838,4/27/15,3,1.5,1290,1213,3,0,0,3,8,1290,0,2007,0,98103,47.6965,-122.34,1360,1227,375000
+6431000749,9/22/14,3,3.25,1340,1151,3,0,0,3,7,1340,0,2008,0,98103,47.6904,-122.346,1290,1200,349000
+3362401761,2/25/15,2,1.5,1020,1049,3,0,0,3,8,1020,0,2008,0,98103,47.68,-122.348,1350,1395,450000
+3629700120,10/14/14,3,3,2330,1944,2.5,0,0,3,8,1950,380,2014,0,98027,47.5446,-122.016,2290,1407,669950
+3226049565,7/11/14,5,3,2360,5000,1,0,0,3,7,1390,970,2008,0,98103,47.6931,-122.33,2180,5009,504600
+567000408,6/2/14,3,2.5,1495,936,3,0,0,3,8,1405,90,2006,0,98144,47.593,-122.295,1495,1186,400000
+825059349,7/1/14,4,3.5,3770,8501,2,0,0,3,10,3770,0,2008,0,98033,47.6744,-122.196,1520,9660,1020000
+7787920230,4/8/15,5,2.5,2890,13104,2,0,0,3,8,2890,0,2006,0,98019,47.7277,-121.958,3020,9300,518000
+5694000706,8/13/14,3,2.75,1320,1125,3,0,0,3,8,1320,0,2008,0,98103,47.6598,-122.348,1320,1266,535000
+1760650900,7/21/14,4,2.5,2330,4907,2,0,0,3,7,2330,0,2013,0,98042,47.359,-122.081,2300,3836,337500
+2021000180,3/10/15,4,2.5,3120,5001,2,0,0,3,9,3120,0,2005,0,98023,47.2779,-122.349,3120,5244,380000
+6400700389,7/10/14,5,3,2960,15152,2,0,0,3,9,2960,0,2004,0,98033,47.6689,-122.179,1850,9453,875000
+6431000987,9/2/14,3,2.25,1630,1598,3,0,0,3,8,1630,0,2008,0,98103,47.6904,-122.347,1320,1605,385000
+2311400056,12/1/14,5,3.5,5230,8960,2,0,0,3,11,4450,780,2014,0,98004,47.5964,-122.201,2310,9603,1990000
+3224059107,5/8/15,4,3,3150,6599,2,0,0,3,9,3150,0,2008,0,98056,47.5279,-122.199,2680,9430,649500
+1245002281,5/12/14,4,3.75,3280,11000,2,0,0,3,10,2320,960,2008,0,98033,47.6855,-122.201,2400,8351,1050000
+121039156,1/9/15,3,1,1030,24750,1,0,2,3,5,1030,0,1943,0,98023,47.3343,-122.362,2810,28800,249000
+9211000110,10/3/14,4,2.5,3130,5795,2,0,0,3,9,3130,0,2008,0,98059,47.4997,-122.151,2950,5259,525000
+7625702263,6/12/14,3,3.5,1240,1666,2,0,0,3,7,1000,240,2008,0,98136,47.5496,-122.388,1110,1027,402000
+8085400586,11/1/14,4,2.75,3560,8975,2,0,0,3,10,3560,0,2014,0,98004,47.6322,-122.209,3440,12825,1750000
+2895800590,10/20/14,5,2.5,2170,2752,2,0,0,3,8,2170,0,2014,0,98106,47.5167,-122.347,1800,2752,359800
+100300530,9/25/14,3,2.5,1520,3003,2,0,0,3,7,1520,0,2009,0,98059,47.4876,-122.153,1820,3030,330000
+4092302096,3/25/15,3,2.5,1270,1062,2,0,0,3,8,1060,210,2008,0,98105,47.6568,-122.321,1260,1112,433000
+7010700308,11/12/14,4,3.25,3610,4000,2,0,0,3,9,2640,970,2007,0,98199,47.658,-122.396,1980,4000,1010000
+7853370100,4/6/15,3,2.75,3230,5200,2,0,0,3,9,2680,550,2014,0,98065,47.519,-121.878,3100,4900,599832
+6181500120,6/23/14,5,3,2300,8214,2,0,0,3,8,2300,0,2013,0,98001,47.3052,-122.276,2594,4950,312891
+567000775,9/12/14,2,2.5,1460,1296,2,0,0,3,8,1160,300,2008,0,98144,47.5923,-122.296,1460,1296,449000
+3331000035,5/27/14,3,2.5,1750,1548,3,0,0,3,9,1750,0,2013,0,98118,47.5532,-122.282,1750,3960,495000
+4216500110,5/15/14,5,2.75,3030,10335,2,0,0,3,9,3030,0,2013,0,98056,47.5305,-122.184,2720,11213,819995
+2776600082,11/13/14,3,3.5,1522,1465,2,0,0,3,8,1248,274,2006,0,98117,47.6922,-122.375,1522,1341,407500
+323079058,1/5/15,4,3.75,3890,22000,2,0,0,3,10,3890,0,2007,0,98027,47.5052,-121.906,1610,23142,850000
+1088100450,7/25/14,5,4,4590,35046,2,0,0,3,10,4590,0,2008,0,98033,47.6647,-122.16,3350,35857,1720000
+98300230,4/28/15,4,4,4620,130208,2,0,0,3,10,4620,0,2014,0,98024,47.5885,-121.939,4620,131007,1460000
+847100047,9/17/14,4,2.75,3220,9825,2,0,0,3,8,3220,0,2012,0,98059,47.4863,-122.143,2820,8566,579000
+1853080150,8/11/14,5,2.75,3170,8093,2,0,0,3,9,3170,0,2014,0,98075,47.5933,-122.06,3210,7062,890776
+6021503707,1/20/15,2,2.5,980,1010,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,352500
+9512200090,5/1/15,3,1.75,2340,7724,1,0,0,3,10,2340,0,2010,0,98058,47.4593,-122.134,3040,5787,529000
+9268850040,3/27/15,3,2.25,1620,1425,3,0,0,3,8,1540,80,2009,0,98027,47.5405,-122.026,1620,1237,484000
+7283900306,4/17/15,3,2.5,1910,4408,3,0,0,3,8,1910,0,2007,0,98133,47.7634,-122.35,1910,8154,400000
+1980200236,4/17/15,3,2.5,2420,6847,2,0,0,3,9,2420,0,2009,0,98133,47.7329,-122.356,1180,8100,649950
+2413910120,7/2/14,3,4.5,3850,62726,2,0,0,3,10,3120,730,2013,0,98053,47.6735,-122.058,2630,46609,915000
+7787920180,5/4/15,5,2.5,3220,10572,2,0,0,3,8,3220,0,2006,0,98019,47.7268,-121.957,2890,9090,534950
+1283800110,5/6/14,4,2.5,3040,6425,2,0,0,3,8,3040,0,2008,0,98052,47.6788,-122.117,3040,7800,776000
+6140100028,5/1/15,3,1.75,1496,1423,2,0,0,3,8,1248,248,2006,0,98133,47.715,-122.355,1460,1423,370000
+1972200555,7/14/14,3,1.75,1630,1500,3,0,0,3,8,1630,0,2014,0,98103,47.6536,-122.354,1570,1335,610000
+6891100090,10/14/14,5,3.5,4200,5400,2,0,0,3,9,3140,1060,2012,0,98052,47.7077,-122.12,3300,5564,850000
+3438503021,11/5/14,3,2.5,2430,7049,2,0,0,3,8,2430,0,2007,0,98106,47.5399,-122.352,1770,7049,443000
+4233600150,2/3/15,5,4.25,4010,8252,2,0,0,3,10,4010,0,2015,0,98075,47.5974,-122.013,3370,8252,1150000
+2770601782,8/1/14,3,2.5,1510,1618,2.5,0,0,3,8,1330,180,2011,0,98199,47.6515,-122.384,1350,1397,453000
+9268851020,4/10/15,4,3.5,2340,2810,2,0,2,3,8,1730,610,2011,0,98027,47.5403,-122.028,2600,2843,735000
+8682291050,7/8/14,2,2.75,2700,8572,1,0,0,3,9,2700,0,2007,0,98053,47.7236,-122.033,2680,8569,810000
+9468200109,6/17/14,3,3.5,4360,6240,2,0,3,3,10,2960,1400,2008,0,98103,47.6791,-122.354,1920,3910,1560000
+2524069097,5/9/14,5,6.5,7270,130017,2,0,0,3,12,6420,850,2010,0,98027,47.5371,-121.982,1800,44890,2240000
+7625702441,8/8/14,3,2.5,1350,886,3,0,0,3,8,1270,80,2006,0,98136,47.5491,-122.387,1350,886,377500
+9521100866,6/18/14,3,3.25,1380,1120,3,0,0,3,8,1380,0,2008,0,98103,47.6617,-122.349,1310,1405,482000
+148000072,8/18/14,2,2.5,1830,1988,2,0,0,3,9,1530,300,2011,0,98116,47.5779,-122.409,1800,2467,600000
+1493300057,8/7/14,3,2.5,1470,1571,2,0,0,3,8,1180,290,2007,0,98116,47.5722,-122.387,1580,4329,420000
+3304030220,4/21/15,4,2.5,2940,9172,2,0,0,3,9,2940,0,2006,0,98001,47.3444,-122.269,2660,7955,480000
+7625702277,3/31/15,2,2,1110,1095,3,0,0,3,7,980,130,2008,0,98136,47.5494,-122.388,1110,1083,406000
+1023059465,5/13/14,4,2.5,2790,5602,2,0,0,3,8,2790,0,2009,0,98059,47.4959,-122.15,2790,5309,505000
+3262300818,2/27/15,4,3.75,3790,8797,2,0,0,3,11,3290,500,2006,0,98039,47.6351,-122.236,2660,12150,1870000
+2937300040,12/15/14,4,2.5,3570,6218,2,0,0,3,9,3570,0,2014,0,98052,47.7046,-122.123,3230,5972,942990
+2768100206,10/1/14,3,2.25,1230,1097,3,0,0,3,8,1230,0,2009,0,98107,47.6697,-122.372,1420,1437,440000
+7904700134,6/26/14,3,3.25,1370,913,2,0,0,3,8,1100,270,2006,0,98116,47.5636,-122.388,1370,915,390000
+9521100867,7/11/14,3,3.25,1380,1121,3,0,0,3,8,1380,0,2008,0,98103,47.6617,-122.349,1310,1405,475000
+1702901618,4/7/15,1,2,1070,675,2,0,0,3,8,880,190,2007,0,98118,47.5574,-122.284,1220,788,420000
+7237550100,8/25/14,4,4,4920,50621,2,0,0,3,10,4280,640,2012,0,98053,47.6575,-122.006,4920,74052,1410000
+7430500110,12/9/14,5,3.5,5150,12230,2,0,2,3,10,3700,1450,2007,0,98008,47.6249,-122.09,2940,13462,1380000
+603000555,3/2/15,6,3,2390,4000,2,0,0,3,7,2390,0,2014,0,98118,47.5173,-122.286,1680,5000,462500
+3304300300,5/7/15,4,2.75,2460,8643,2,0,0,3,9,2460,0,2011,0,98059,47.4828,-122.133,3110,8626,579950
+6453550090,5/5/15,4,2.5,3650,7090,2,0,0,3,10,3650,0,2008,0,98074,47.606,-122.052,3860,7272,861111
+2625069038,11/24/14,4,3.5,4300,108865,2,0,0,3,11,4300,0,2014,0,98074,47.6258,-122.005,4650,107498,1450000
+1760650820,4/28/15,3,2.25,1610,3764,2,0,0,3,7,1610,0,2012,0,98042,47.3589,-122.083,1610,3825,290000
+9578060230,6/18/14,4,2.5,2610,4595,2,0,0,3,8,2610,0,2008,0,98028,47.7728,-122.235,2440,4588,535000
+3416600750,2/17/15,3,2.5,1750,1381,3,0,0,3,8,1750,0,2008,0,98122,47.6021,-122.294,1940,4800,585000
+2487200490,6/23/14,3,2.5,3310,5300,2,0,2,3,8,2440,870,2008,0,98136,47.5178,-122.389,2140,7500,670000
+8964800330,4/7/15,4,3.75,5090,14823,1,0,0,3,11,4180,910,2013,0,98004,47.62,-122.207,3030,12752,3000000
+5637500082,12/3/14,3,2,1060,1184,2,0,0,3,7,730,330,2006,0,98136,47.5443,-122.385,1270,1601,346000
+324069112,6/17/14,4,4,4420,16526,2,0,0,3,11,4420,0,2013,0,98075,47.5914,-122.027,3510,50447,1330000
+524059322,2/26/15,3,2.5,2100,4097,2,0,0,3,9,2100,0,2008,0,98004,47.5983,-122.2,1780,4764,999999
+889000025,8/11/14,3,1.75,1650,1180,3,0,0,3,8,1650,0,2014,0,98105,47.6636,-122.319,1720,1960,599000
+2909310100,10/15/14,4,2.5,2380,5737,2,0,0,3,7,2380,0,2010,0,98023,47.2815,-122.356,2380,5396,332000
+8562780180,6/12/14,2,2.25,1170,1011,2,0,0,3,7,1170,0,2009,0,98027,47.5321,-122.073,1240,750,336750
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+1865400076,5/9/14,3,2.25,998,904,2,0,0,3,7,798,200,2007,0,98117,47.6983,-122.367,998,1110,324000
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+715010530,1/13/15,5,3.5,4410,13000,2,0,3,3,10,2920,1490,2014,0,98006,47.5382,-122.111,5790,12969,1880000
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+3874900085,2/27/15,4,3.25,2630,7770,2,0,0,3,9,2630,0,2014,0,98126,47.5459,-122.377,1370,7770,715000
+1972200227,10/7/14,3,1.5,1160,1031,3,0,0,3,8,1160,0,2008,0,98103,47.6538,-122.357,1268,1688,459000
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+3277800823,8/20/14,2,2,1490,1627,2,0,0,3,8,1190,300,2009,0,98126,47.5455,-122.375,1400,1498,327000
+8835770330,8/19/14,2,1.5,2370,184231,2,0,0,3,11,2370,0,2005,0,98045,47.4543,-121.778,3860,151081,1060000
+1220000371,12/31/14,3,2.5,1820,1866,2,0,0,3,8,1570,250,2008,0,98166,47.4643,-122.346,1660,6900,327500
+880000205,7/29/14,3,2,1260,1125,2,0,0,3,7,810,450,2011,0,98106,47.5262,-122.361,1260,1172,249000
+1561750040,12/24/14,5,4.5,4350,13405,2,0,0,3,11,4350,0,2014,0,98074,47.6018,-122.06,3990,7208,1380000
+688000017,6/27/14,1,1.25,1100,638,3,0,0,3,9,1100,0,2014,0,98112,47.6228,-122.307,1110,1933,516500
+2522059251,4/9/15,3,2.5,2050,15035,2,0,0,3,9,2050,0,2006,0,98042,47.3619,-122.122,1300,15836,465000
+2855000110,8/8/14,3,2.5,2198,6222,2,0,2,3,8,2198,0,2010,0,98198,47.3906,-122.304,2198,7621,388000
+6821101731,9/30/14,3,2.25,1230,1380,3,0,0,3,8,1230,0,2013,0,98199,47.6521,-122.4,1760,5664,549000
+476000017,10/3/14,2,2,1400,1512,2,0,0,3,8,940,460,2006,0,98107,47.6719,-122.392,1400,3500,553000
+2770603523,4/22/15,3,2.5,1410,1250,2,0,0,3,8,1140,270,2010,0,98119,47.6515,-122.375,1720,2825,530000
+2255500123,8/20/14,3,2.5,2110,1339,2,0,0,3,8,1410,700,2014,0,98122,47.6088,-122.311,1630,2670,747450
+3438501329,5/20/14,2,2.5,1590,2656,2,0,0,3,7,1220,370,2009,0,98106,47.5489,-122.364,1590,2306,305000
+423059387,11/18/14,5,2.5,3370,4850,2,0,0,3,9,3370,0,2007,0,98056,47.5078,-122.169,2900,5570,540000
+6664500090,1/15/15,5,4,4500,8130,2,0,0,3,10,4500,0,2007,0,98059,47.4832,-122.145,2840,8402,750000
+2122059216,4/14/15,4,2.5,2930,5973,2,0,0,3,10,2930,0,2008,0,98030,47.3846,-122.186,3038,7095,422000
+9406530090,10/20/14,4,2.5,2470,5100,2,0,0,3,8,2470,0,2005,0,98038,47.3622,-122.041,2240,5123,337000
+7168100015,10/9/14,5,2.75,3080,5752,2,0,0,3,9,3080,0,2014,0,98059,47.4922,-122.153,3000,4650,579950
+5007500120,2/26/15,4,2.75,2260,4440,2,0,0,3,7,2260,0,2014,0,98001,47.3507,-122.291,2260,4563,341780
+3528900770,4/23/15,4,3,1670,2642,2,0,0,3,8,1350,320,2008,0,98109,47.6397,-122.345,1670,2594,710200
+9521100031,6/18/14,3,3.25,1540,1428,3,0,0,3,9,1540,0,2013,0,98103,47.6648,-122.353,1660,3300,690000
+524059330,1/30/15,4,3.5,3830,8963,2,0,0,3,10,3120,710,2014,0,98004,47.599,-122.197,2190,10777,1700000
+6021503705,10/15/14,2,2.5,980,1020,3,0,0,3,8,980,0,2008,0,98117,47.6844,-122.387,980,1023,329000
+3438501862,5/13/14,3,2.5,1450,5008,1,0,0,3,7,840,610,2007,0,98106,47.5435,-122.357,2120,5019,330000
+3345700207,5/2/15,4,3.5,2850,5577,2,0,0,3,8,1950,900,2014,0,98056,47.5252,-122.192,2850,5708,608500
+6056111067,7/7/14,3,1.75,1140,1201,2,0,0,3,8,1140,0,2014,0,98108,47.5637,-122.295,1210,1552,230000
+8562790760,5/20/14,4,3.5,3070,4684,2,0,0,3,10,2190,880,2009,0,98027,47.5316,-122.076,2290,2664,785000
+1931300090,5/7/14,3,3,1680,1570,3,0,0,3,8,1680,0,2014,0,98103,47.6572,-122.346,1640,4800,610950
+9578500790,11/11/14,3,2.5,3087,5002,2,0,0,3,8,3087,0,2014,0,98023,47.2974,-122.349,2927,5183,399950
+9253900271,1/7/15,5,4.5,4850,10584,2,1,4,3,10,3540,1310,2007,0,98008,47.5943,-122.11,3470,18270,3570000
+3881900317,1/23/15,4,3.25,1900,2631,2,0,0,3,9,1250,650,2014,0,98144,47.5869,-122.311,1710,4502,579000
+567000385,6/23/14,2,1.5,940,1768,2,0,0,3,7,940,0,2009,0,98144,47.5925,-122.295,1130,1159,362500
+7011201004,5/29/14,3,3.25,1730,1229,2,0,2,3,9,1320,410,2008,0,98119,47.6374,-122.369,1710,1686,645000
+7853420110,10/3/14,3,3,2780,6000,2,0,0,3,9,2780,0,2013,0,98065,47.5184,-121.886,2850,6000,594866
+7853420110,5/4/15,3,3,2780,6000,2,0,0,3,9,2780,0,2013,0,98065,47.5184,-121.886,2850,6000,625000
+3052700432,11/12/14,3,2.25,1500,1290,2,0,0,3,8,1220,280,2006,0,98117,47.6785,-122.375,1460,1375,490000
+2025049203,6/10/14,2,1,710,1157,2,0,0,4,7,710,0,1943,0,98102,47.6413,-122.329,1370,1173,399950
+952006823,12/2/14,3,2.5,1260,900,2,0,0,3,7,940,320,2007,0,98116,47.5621,-122.384,1310,1415,380000
+3832050760,8/28/14,3,2.5,1870,5000,2,0,0,3,7,1870,0,2009,0,98042,47.3339,-122.055,2170,5399,270000
+2767604724,10/15/14,2,2.5,1430,1201,3,0,0,3,8,1430,0,2009,0,98107,47.6707,-122.381,1430,1249,505000
+6632300207,3/5/15,3,2.5,1520,1488,3,0,0,3,8,1520,0,2006,0,98125,47.7337,-122.309,1520,1497,385000
+2767600688,11/13/14,2,1.5,1210,1278,2,0,0,3,8,1020,190,2007,0,98117,47.6756,-122.375,1210,1118,414500
+7570050450,9/10/14,3,2.5,2540,4760,2,0,0,3,8,2540,0,2010,0,98038,47.3452,-122.022,2540,4571,347500
+7430200100,5/14/14,4,3.5,4910,9444,1.5,0,0,3,11,3110,1800,2007,0,98074,47.6502,-122.066,4560,11063,1220000
+4140940150,10/2/14,4,2.75,2770,3852,2,0,0,3,8,2770,0,2014,0,98178,47.5001,-122.232,1810,5641,572000
+1931300412,4/16/15,3,2.25,1190,1200,3,0,0,3,8,1190,0,2008,0,98103,47.6542,-122.346,1180,1224,475000
+8672200110,3/17/15,5,3.75,4170,8142,2,0,2,3,10,4170,0,2006,0,98056,47.5354,-122.181,3030,7980,1090000
+5087900040,10/17/14,4,2.75,2500,5995,2,0,0,3,8,2500,0,2008,0,98042,47.3749,-122.107,2530,5988,350000
+1972201967,10/31/14,2,2.25,1530,981,3,0,0,3,8,1480,50,2006,0,98103,47.6533,-122.346,1530,1282,520000
+7502800100,8/13/14,5,2.75,3600,9437,2,0,0,3,9,3600,0,2014,0,98059,47.4822,-122.131,3550,9421,679950
+191100405,4/21/15,4,3.25,3410,10125,2,0,0,3,10,3410,0,2007,0,98040,47.5653,-122.223,2290,10125,1580000
+8956200760,10/13/14,4,2.5,3118,7866,2,0,2,3,9,3118,0,2014,0,98001,47.2931,-122.264,2673,6500,541800
+7202300110,9/15/14,4,3,3990,7838,2,0,0,3,9,3990,0,2003,0,98053,47.6857,-122.046,3370,6814,810000
+249000205,10/15/14,5,3.75,4470,8088,2,0,0,3,11,4470,0,2008,0,98004,47.6321,-122.2,2780,8964,1540000
+5100403806,4/7/15,3,2.5,1425,1179,3,0,0,3,8,1425,0,2008,0,98125,47.6963,-122.318,1285,1253,467000
+844000965,6/26/14,3,1.75,1500,11968,1,0,0,3,6,1500,0,2014,0,98010,47.3095,-122.002,1320,11303,224000
+7852140040,8/25/14,3,2.5,2270,5536,2,0,0,3,8,2270,0,2003,0,98065,47.5389,-121.881,2270,5731,507250
+9834201367,1/26/15,3,2,1490,1126,3,0,0,3,8,1490,0,2014,0,98144,47.5699,-122.288,1400,1230,429000
+3448900210,10/14/14,4,2.5,2520,6023,2,0,0,3,9,2520,0,2014,0,98056,47.5137,-122.167,2520,6023,610685
+7936000429,3/26/15,4,3.5,3510,7200,2,0,0,3,9,2600,910,2009,0,98136,47.5537,-122.398,2050,6200,1010000
+2997800021,2/19/15,3,2.5,1310,1294,2,0,0,3,8,1180,130,2008,0,98116,47.5773,-122.409,1330,1265,475000
+263000018,5/21/14,3,2.5,1530,1131,3,0,0,3,8,1530,0,2009,0,98103,47.6993,-122.346,1530,1509,360000
+6600060120,2/23/15,4,2.5,2310,5813,2,0,0,3,8,2310,0,2014,0,98146,47.5107,-122.362,1830,7200,400000
+1523300141,6/23/14,2,0.75,1020,1350,2,0,0,3,7,1020,0,2009,0,98144,47.5944,-122.299,1020,2007,402101
+291310100,1/16/15,3,2.5,1600,2388,2,0,0,3,8,1600,0,2004,0,98027,47.5345,-122.069,1410,1287,400000
+1523300157,10/15/14,2,0.75,1020,1076,2,0,0,3,7,1020,0,2008,0,98144,47.5941,-122.299,1020,1357,325000
\ No newline at end of file
diff --git a/notebooks/ML_MiniProject_1.ipynb b/notebooks/ML_MiniProject_1.ipynb
new file mode 100644
index 0000000..4afd4b2
--- /dev/null
+++ b/notebooks/ML_MiniProject_1.ipynb
@@ -0,0 +1,13988 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "b62d8716",
+   "metadata": {},
+   "source": [
+    "# Regression Project: 1st Machine Learning Project\n",
+    "*Predicting [property value / price] using [Key Features]*\n",
+    "\n",
+    "\n",
+    "## Scenario\n",
+    "\n",
+    "You are working as an analyst for a real estate company. Your company wants to build a machine learning model to predict the selling prices of houses based on a variety of features on which the value of the house is evaluated.\n",
+    "\n",
+    "## Objective\n",
+    "\n",
+    "Your job is to build a model that will predict the price of a house based on features provided in the dataset. Senior management also wants to explore the characteristics of the houses using some business intelligence tools. \n",
+    "\n",
+    "One of those parameters includes understanding which factors are responsible for higher property value - \\$650K and above.\n",
+    "\n",
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0afb2ec5",
+   "metadata": {},
+   "source": [
+    "## Problem Definition & Data Loading\n",
+    "**Goal**: Predict `Price` based on features like `bedrooms`, `sqft_living`, `floors`,  `condition`, `grade`, etc."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7b6e73d1",
+   "metadata": {},
+   "source": [
+    "## 1. Data Loading & Inspection\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a881960",
+   "metadata": {},
+   "source": [
+    "### 1.0 Import core libraries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "585dbb9c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Import core libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d2c231c6",
+   "metadata": {},
+   "source": [
+    "### 1.1 Loading Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 113,
+   "id": "fd26ceb6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load data\n",
+    "df = pd.read_csv('../data/regression_data.csv')  # Replace with your data path"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 114,
+   "id": "85b2aea8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pd.set_option('display.max_columns', None)  # Show all columns\n",
+    "\n",
+    "# pd.set_option('display.max_rows', None)     # Show all rows (optional)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8dfca0ce",
+   "metadata": {},
+   "source": [
+    "Reset to default later:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 115,
+   "id": "0bae55ef",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pd.reset_option('display.max_columns')\n",
+    "# pd.reset_option('display.max_rows')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c48caf95",
+   "metadata": {},
+   "source": [
+    "### 1.2 Initial Exploration\n",
+    "- df.info()\n",
+    "- Visual inspection (head/tail)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 116,
+   "id": "427b89e2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Data shape: (21597, 21)\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>date</th>\n",
+       "      <th>bedrooms</th>\n",
+       "      <th>bathrooms</th>\n",
+       "      <th>sqft_living</th>\n",
+       "      <th>sqft_lot</th>\n",
+       "      <th>floors</th>\n",
+       "      <th>waterfront</th>\n",
+       "      <th>view</th>\n",
+       "      <th>condition</th>\n",
+       "      <th>grade</th>\n",
+       "      <th>sqft_above</th>\n",
+       "      <th>sqft_basement</th>\n",
+       "      <th>yr_built</th>\n",
+       "      <th>yr_renovated</th>\n",
+       "      <th>zipcode</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>sqft_living15</th>\n",
+       "      <th>sqft_lot15</th>\n",
+       "      <th>price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7129300520</td>\n",
+       "      <td>10/13/2014</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1955</td>\n",
+       "      <td>0</td>\n",
+       "      <td>98178</td>\n",
+       "      <td>47.5112</td>\n",
+       "      <td>-122.257</td>\n",
+       "      <td>1340</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>221900</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>6414100192</td>\n",
+       "      <td>12/9/2014</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2.25</td>\n",
+       "      <td>2570</td>\n",
+       "      <td>7242</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>2170</td>\n",
+       "      <td>400</td>\n",
+       "      <td>1951</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>98125</td>\n",
+       "      <td>47.7210</td>\n",
+       "      <td>-122.319</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>7639</td>\n",
+       "      <td>538000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>5631500400</td>\n",
+       "      <td>2/25/2015</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>770</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6</td>\n",
+       "      <td>770</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1933</td>\n",
+       "      <td>0</td>\n",
+       "      <td>98028</td>\n",
+       "      <td>47.7379</td>\n",
+       "      <td>-122.233</td>\n",
+       "      <td>2720</td>\n",
+       "      <td>8062</td>\n",
+       "      <td>180000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           id        date  bedrooms  bathrooms  sqft_living  sqft_lot  floors  \\\n",
+       "0  7129300520  10/13/2014         3       1.00         1180      5650     1.0   \n",
+       "1  6414100192   12/9/2014         3       2.25         2570      7242     2.0   \n",
+       "2  5631500400   2/25/2015         2       1.00          770     10000     1.0   \n",
+       "\n",
+       "   waterfront  view  condition  grade  sqft_above  sqft_basement  yr_built  \\\n",
+       "0           0     0          3      7        1180              0      1955   \n",
+       "1           0     0          3      7        2170            400      1951   \n",
+       "2           0     0          3      6         770              0      1933   \n",
+       "\n",
+       "   yr_renovated  zipcode      lat     long  sqft_living15  sqft_lot15   price  \n",
+       "0             0    98178  47.5112 -122.257           1340        5650  221900  \n",
+       "1          1991    98125  47.7210 -122.319           1690        7639  538000  \n",
+       "2             0    98028  47.7379 -122.233           2720        8062  180000  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Initial inspection\n",
+    "print(f\"Data shape: {df.shape}\")\n",
+    "display(df.head(3))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 117,
+   "id": "7aec0c62",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 21597 entries, 0 to 21596\n",
+      "Data columns (total 21 columns):\n",
+      " #   Column         Non-Null Count  Dtype  \n",
+      "---  ------         --------------  -----  \n",
+      " 0   id             21597 non-null  int64  \n",
+      " 1   date           21597 non-null  object \n",
+      " 2   bedrooms       21597 non-null  int64  \n",
+      " 3   bathrooms      21597 non-null  float64\n",
+      " 4   sqft_living    21597 non-null  int64  \n",
+      " 5   sqft_lot       21597 non-null  int64  \n",
+      " 6   floors         21597 non-null  float64\n",
+      " 7   waterfront     21597 non-null  int64  \n",
+      " 8   view           21597 non-null  int64  \n",
+      " 9   condition      21597 non-null  int64  \n",
+      " 10  grade          21597 non-null  int64  \n",
+      " 11  sqft_above     21597 non-null  int64  \n",
+      " 12  sqft_basement  21597 non-null  int64  \n",
+      " 13  yr_built       21597 non-null  int64  \n",
+      " 14  yr_renovated   21597 non-null  int64  \n",
+      " 15  zipcode        21597 non-null  int64  \n",
+      " 16  lat            21597 non-null  float64\n",
+      " 17  long           21597 non-null  float64\n",
+      " 18  sqft_living15  21597 non-null  int64  \n",
+      " 19  sqft_lot15     21597 non-null  int64  \n",
+      " 20  price          21597 non-null  int64  \n",
+      "dtypes: float64(4), int64(16), object(1)\n",
+      "memory usage: 3.5+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 118,
+   "id": "29844363",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['id', 'date', 'bedrooms', 'bathrooms', 'sqft_living', 'sqft_lot',\n",
+       "       'floors', 'waterfront', 'view', 'condition', 'grade', 'sqft_above',\n",
+       "       'sqft_basement', 'yr_built', 'yr_renovated', 'zipcode', 'lat', 'long',\n",
+       "       'sqft_living15', 'sqft_lot15', 'price'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 118,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.columns"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "787746b2",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bf58e463",
+   "metadata": {},
+   "source": [
+    "## 2. Exploratory Data Analysis (EDA)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5239ecac",
+   "metadata": {},
+   "source": [
+    "### 2.1 Check and handle Missing and duplicates Values \n",
+    "- Check for missing values\n",
+    "- Removing missing data points if necesary\n",
+    "\n",
+    "- Check duplicates\n",
+    "- Remove duplicates\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 119,
+   "id": "e81d0650",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "id               0\n",
+       "date             0\n",
+       "bedrooms         0\n",
+       "bathrooms        0\n",
+       "sqft_living      0\n",
+       "sqft_lot         0\n",
+       "floors           0\n",
+       "waterfront       0\n",
+       "view             0\n",
+       "condition        0\n",
+       "grade            0\n",
+       "sqft_above       0\n",
+       "sqft_basement    0\n",
+       "yr_built         0\n",
+       "yr_renovated     0\n",
+       "zipcode          0\n",
+       "lat              0\n",
+       "long             0\n",
+       "sqft_living15    0\n",
+       "sqft_lot15       0\n",
+       "price            0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 119,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "27b0c387",
+   "metadata": {},
+   "source": [
+    "NOTE: There are no missing values, therefore no need to \"drop NAs\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f5ad8e9",
+   "metadata": {},
+   "source": [
+    "#### Check for duplicates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 120,
+   "id": "e5fe466d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.int64(0)"
+      ]
+     },
+     "execution_count": 120,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Check for duplicates\n",
+    "# count how many duplicates there are\n",
+    "df.duplicated().sum()\n",
+    "\n",
+    "# Remove duplicates\n",
+    "# df.drop_duplicates(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d1cf8c0b",
+   "metadata": {},
+   "source": [
+    "NOTE: There are no duplicated values, therefore no need to \"remove duplicates\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cdba5a2a",
+   "metadata": {},
+   "source": [
+    "### 2.2 Remove Irrelevant Data / Features\n",
+    "\n",
+    "- Remove Id feature: ML models interpret id as a numerical feature, so there is no use at all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 121,
+   "id": "67d0543d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Drop useless columns first\n",
+    "# df = df.drop(columns=['id'])  # Permanent removal"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8cfd79ee",
+   "metadata": {},
+   "source": [
+    "### 2.3 Separate Categorical vs. Numerical Features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "e30f71ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Categorical: ['waterfront', 'view', 'condition', 'grade', 'zipcode']\n",
+      "Numerical: ['bedrooms', 'bathrooms', 'sqft_living', 'sqft_lot', 'floors', 'sqft_above', 'sqft_basement', 'yr_built', 'yr_renovated', 'lat', 'long', 'sqft_living15', 'sqft_lot15']\n",
+      "Target: price\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Define categoricals (manual list is safest)\n",
+    "categorical_cols = [\n",
+    "    'waterfront',  # binary\n",
+    "    'view',        # limited values (0-4)\n",
+    "    'condition',   # ordinal (1-5)\n",
+    "    'grade',       # ordinal (1-13)\n",
+    "    'zipcode'      # nominal category\n",
+    "]\n",
+    "\n",
+    "# Numerical: All int64/float64 columns (automatically excludes 'object' like 'date')\n",
+    "numerical_cols = df.select_dtypes(include=['int64', 'float64']).columns.tolist()\n",
+    "\n",
+    "numerical_cols = [col for col in numerical_cols \n",
+    "                 if col not in categorical_cols \n",
+    "                 and col not in ['price', 'id']  # exclude target and id\n",
+    "]\n",
+    "\n",
+    "# Verify\n",
+    "print(\"Categorical:\", categorical_cols)\n",
+    "print(\"Numerical:\", numerical_cols)\n",
+    "print(\"Target: price\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "52b99d77",
+   "metadata": {},
+   "source": [
+    "### 2.4 Target Variable Analysis\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "cf6105e1",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    2.159700e+04\n",
+       "mean     5.402966e+05\n",
+       "std      3.673681e+05\n",
+       "min      7.800000e+04\n",
+       "25%      3.220000e+05\n",
+       "50%      4.500000e+05\n",
+       "75%      6.450000e+05\n",
+       "max      7.700000e+06\n",
+       "Name: price, dtype: float64"
+      ]
+     },
+     "execution_count": 123,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['price'].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 124,
+   "id": "2eda9a85",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,4))\n",
+    "sns.histplot(df['price'], kde=True)  # Replace 'target_column'\n",
+    "plt.title('Target (Price $) Variable Distribution')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7a892b4d",
+   "metadata": {},
+   "source": [
+    "### 2.5 Correlation Analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "id": "3be77b06",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate correlations (numerical features only)\n",
+    "corr_matrix = df[numerical_cols + ['price']].corr()  # Include target!\n",
+    "\n",
+    "#Set up mask for triangle representation\n",
+    "mask = np.zeros_like(corr_matrix, dtype=bool)\n",
+    "mask[np.triu_indices_from(mask)] = True\n",
+    "\n",
+    "# Set up the matplotlib figure\n",
+    "f, ax = plt.subplots(figsize=(10, 10))\n",
+    "\n",
+    "# # Custom color palette (dark for high correlation, light for low)\n",
+    "# cmap = sns.diverging_palette(10, 220, as_cmap=True)  # Reversed for darker highs\n",
+    "\n",
+    "# Custom color palette (red=high, blue=low)\n",
+    "cmap = sns.diverging_palette(10, 240, n=256, as_cmap=True)  # Dark red -> Light blue\n",
+    "\n",
+    "# Draw the heatmap with the mask and correct aspect ratio\n",
+    "sns.heatmap(corr_matrix, mask=mask, cmap=cmap, vmax=1,square=True, linewidths=.5, cbar_kws={\"shrink\": .5},annot = corr_matrix)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e270242e",
+   "metadata": {},
+   "source": [
+    "### 2.6 Feature-Target Relationships"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6c675421",
+   "metadata": {},
+   "source": [
+    "1. Mean price per zipcode"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 126,
+   "id": "adfb76ac",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Group and calculate mean price per zipcode\n",
+    "zipcode_avg_price = (\n",
+    "    df.groupby('zipcode')['price']\n",
+    "      .mean()\n",
+    "      .rename('zipcode_avg_price')\n",
+    "      .sort_values(ascending=False)  # sort so the chart is cleaner\n",
+    ")\n",
+    "\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.scatter(zipcode_avg_price.index, zipcode_avg_price.values, color='red')\n",
+    "plt.title('Average House Price per Zipcode')\n",
+    "plt.ylabel('Average Price')\n",
+    "plt.xlabel('Zipcode')\n",
+    "plt.xticks(rotation=45, ha='right')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 127,
+   "id": "897df2a5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"\\n# Numerical features\\nnumerical_cols\\n\\nsns.pairplot(df, y_vars=df['price'], x_vars=df[numerical_cols])\\n\""
+      ]
+     },
+     "execution_count": 127,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "'''\n",
+    "# Numerical features\n",
+    "numerical_cols\n",
+    "\n",
+    "sns.pairplot(df, y_vars=df['price'], x_vars=df[numerical_cols])\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ec0aca84",
+   "metadata": {},
+   "source": [
+    "2. Categorical features: Condition vs Price"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 128,
+   "id": "5ce6595a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='condition', ylabel='price'>"
+      ]
+     },
+     "execution_count": 128,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Categorical features\n",
+    "categorical_cols = [\n",
+    "    'waterfront',  # binary\n",
+    "    'view',        # limited values (0-4)\n",
+    "    'condition',   # ordinal (1-5)\n",
+    "    'grade',       # ordinal (1-13)\n",
+    "    'zipcode'      # nominal category\n",
+    "]\n",
+    "\n",
+    "plt.figure(figsize=(10,6))\n",
+    "sns.boxplot(x='condition', y=df['price'], data=df)  # Example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "047820a3",
+   "metadata": {},
+   "source": [
+    "3. Categorical features: Grade vs Price"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "id": "18b69ff2",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Axes: xlabel='grade', ylabel='price'>"
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10,6))\n",
+    "sns.boxplot(x='grade', y=df['price'], data=df)  # Example"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2058139f",
+   "metadata": {},
+   "source": [
+    "----"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ea81089d",
+   "metadata": {},
+   "source": [
+    "## 3. Feature Engineering - Data Preprocessing"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ab8727f6",
+   "metadata": {},
+   "source": [
+    "### 3.1. Feature Transforming"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b6673ca0",
+   "metadata": {},
+   "source": [
+    "#### 3.1.1 Create age from yr_built:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "8d6eb01d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['house_age'] = 2025 - df['yr_built']  # Update year as needed\n",
+    "numerical_cols.append('house_age')  # Add to numericals\n",
+    "numerical_cols.remove('yr_built')  # Add to numericals\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77270d55",
+   "metadata": {},
+   "source": [
+    "#### 3.1.2 Convert to binary was_renovated:\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 131,
+   "id": "7f26fa2f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['was_renovated'] = df['yr_renovated'].apply(lambda x: 1 if x > 0 else 0)\n",
+    "categorical_cols.append('was_renovated')  # Now categorical"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7add96b7",
+   "metadata": {},
+   "source": [
+    "#### 3.1.3 Feature: Years Since Renovation\n",
+    "\n",
+    "\n",
+    "##### Feature: Years Since Renovation\n",
+    "\n",
+    "**Construction**:\n",
+    "- Derived from: `sale_year - yr_renovated`\n",
+    "- Special case: `0` for never renovated\n",
+    "\n",
+    "**Problem**:\n",
+    "- There are some 6 houses that where renovated after sold, those would be forse to 0 as it does not change the price\n",
+    "- Those houses do not have the same id, so it was not `resold`\n",
+    "\n",
+    "**Handling Unrenovated Homes**:\n",
+    "- Zero values won't \"hurt\" the model because:\n",
+    "  1. Tree-based models treat 0 as a distinct category\n",
+    "  2. Linear models can learn a separate coefficient"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57e2bbf7",
+   "metadata": {},
+   "source": [
+    "##### - 1. Convert Date to DateTime"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "id": "15e7d2dd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "         date  sale_year  yr_renovated\n",
+      "0  10/13/2014       2014             0\n",
+      "1   12/9/2014       2014          1991\n",
+      "2   2/25/2015       2015             0\n",
+      "3   12/9/2014       2014             0\n",
+      "4   2/18/2015       2015             0\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Convert sale date to datetime\n",
+    "df['sale_year'] = pd.to_datetime(df['date']).dt.year\n",
+    "\n",
+    "# Verify columns\n",
+    "print(df[['date', 'sale_year', 'yr_renovated']].head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5fc8ed7b",
+   "metadata": {},
+   "source": [
+    "##### - 2. Create Renovation Feature"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 133,
+   "id": "82ff7e41",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Calculate years since renovation (0 for never renovated)\n",
+    "df['years_since_renov'] = np.where(\n",
+    "    df['yr_renovated'] > 0, \n",
+    "    df['sale_year'] - df['yr_renovated'],  # If renovated: sale_year - renovation_year\n",
+    "    0  # If never renovated\n",
+    ")\n",
+    "\n",
+    "# Alternative: Use -1 or np.nan for never renovated\n",
+    "# df['years_since_renov'] = df['sale_year'] - df['yr_renovated']\n",
+    "# df['years_since_renov'] = df['years_since_renov'].replace(-df['sale_year'], 0)  # Or np.nan"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "id": "607b8373",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "15673    -1\n",
+       "14845    -1\n",
+       "7090     -1\n",
+       "11587    -1\n",
+       "2293     -1\n",
+       "         ..\n",
+       "14846    70\n",
+       "1786     70\n",
+       "6455     74\n",
+       "7150     74\n",
+       "13723    80\n",
+       "Name: years_since_renov, Length: 21597, dtype: int64"
+      ]
+     },
+     "execution_count": 134,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['years_since_renov'].sort_values(ascending=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b39f07ad",
+   "metadata": {},
+   "source": [
+    "##### - 3. Check why are there houses with -1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "id": "fde2ae4c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 6 illogical entries\n",
+      "               id        date  sale_year  yr_renovated\n",
+      "2293   8712100320   7/28/2014       2014          2015\n",
+      "7090   9141100005  10/28/2014       2014          2015\n",
+      "11587  7284900030   5/22/2014       2014          2015\n",
+      "14845  3585900665    6/6/2014       2014          2015\n",
+      "15673  3585900190   10/6/2014       2014          2015\n",
+      "18560  8935100100    7/1/2014       2014          2015\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Find houses renovated AFTER sale\n",
+    "illogical_renovations = df[df['yr_renovated'] > df['sale_year']]\n",
+    "\n",
+    "# Display problematic rows\n",
+    "print(f\"Found {len(illogical_renovations)} illogical entries\")\n",
+    "# print(illogical_renovations[['date', 'sale_year', 'yr_renovated']])\n",
+    "\n",
+    "print(illogical_renovations[['id', 'date', 'sale_year', 'yr_renovated']])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "cc3ff155",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "       yr_renovated  sale_year  years_since_renov\n",
+      "2293           2015       2014                 -1\n",
+      "7090           2015       2014                 -1\n",
+      "11587          2015       2014                 -1\n",
+      "14845          2015       2014                 -1\n",
+      "15673          2015       2014                 -1\n",
+      "Houses never renovated: 20683\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check houses with negative years_since_renov\n",
+    "neg_mask = df['years_since_renov'] < 0\n",
+    "print(df[neg_mask][['yr_renovated', 'sale_year', 'years_since_renov']].head())\n",
+    "\n",
+    "# Check houses with yr_renovated == 0\n",
+    "never_renovated = df[df['yr_renovated'] == 0]\n",
+    "print(f\"Houses never renovated: {len(never_renovated)}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e9e2c555",
+   "metadata": {},
+   "source": [
+    "##### - 4. Mark houses that were renovated after sald as **Never Renovated**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "id": "74fa1f97",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df['years_since_renov'] = np.where(\n",
+    "    df['yr_renovated'] > df['sale_year'],\n",
+    "    0,  # Treat as never renovated\n",
+    "    df['yr_renovated']\n",
+    ")\n",
+    "# df = df.drop(columns=['id'])  # Permanent removal\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "id": "61eaba27",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Empty DataFrame\n",
+      "Columns: [yr_renovated, sale_year, years_since_renov]\n",
+      "Index: []\n",
+      "Houses never renovated: 20683\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Check houses with negative years_since_renov\n",
+    "neg_mask = df['years_since_renov'] < 0\n",
+    "print(df[neg_mask][['yr_renovated', 'sale_year', 'years_since_renov']].head())\n",
+    "\n",
+    "# Check houses with yr_renovated == 0\n",
+    "never_renovated = df[df['yr_renovated'] == 0]\n",
+    "print(f\"Houses never renovated: {len(never_renovated)}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "e263124e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>date</th>\n",
+       "      <th>bedrooms</th>\n",
+       "      <th>bathrooms</th>\n",
+       "      <th>sqft_living</th>\n",
+       "      <th>sqft_lot</th>\n",
+       "      <th>floors</th>\n",
+       "      <th>waterfront</th>\n",
+       "      <th>view</th>\n",
+       "      <th>condition</th>\n",
+       "      <th>grade</th>\n",
+       "      <th>sqft_above</th>\n",
+       "      <th>sqft_basement</th>\n",
+       "      <th>yr_built</th>\n",
+       "      <th>yr_renovated</th>\n",
+       "      <th>zipcode</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>sqft_living15</th>\n",
+       "      <th>sqft_lot15</th>\n",
+       "      <th>price</th>\n",
+       "      <th>house_age</th>\n",
+       "      <th>was_renovated</th>\n",
+       "      <th>sale_year</th>\n",
+       "      <th>years_since_renov</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>21596</th>\n",
+       "      <td>1523300157</td>\n",
+       "      <td>10/15/2014</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0.75</td>\n",
+       "      <td>1020</td>\n",
+       "      <td>1076</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1020</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2008</td>\n",
+       "      <td>0</td>\n",
+       "      <td>98144</td>\n",
+       "      <td>47.5941</td>\n",
+       "      <td>-122.299</td>\n",
+       "      <td>1020</td>\n",
+       "      <td>1357</td>\n",
+       "      <td>325000</td>\n",
+       "      <td>17</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               id        date  bedrooms  bathrooms  sqft_living  sqft_lot  \\\n",
+       "21596  1523300157  10/15/2014         2       0.75         1020      1076   \n",
+       "\n",
+       "       floors  waterfront  view  condition  grade  sqft_above  sqft_basement  \\\n",
+       "21596     2.0           0     0          3      7        1020              0   \n",
+       "\n",
+       "       yr_built  yr_renovated  zipcode      lat     long  sqft_living15  \\\n",
+       "21596      2008             0    98144  47.5941 -122.299           1020   \n",
+       "\n",
+       "       sqft_lot15   price  house_age  was_renovated  sale_year  \\\n",
+       "21596        1357  325000         17              0       2014   \n",
+       "\n",
+       "       years_since_renov  \n",
+       "21596                  0  "
+      ]
+     },
+     "execution_count": 139,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.tail(1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "id": "00f6e402",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "numerical_cols += ['years_since_renov']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5d191acb",
+   "metadata": {},
+   "source": [
+    "#### 3.1.3 ZIP Code Price Premium Features"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d12c49d1",
+   "metadata": {},
+   "source": [
+    "1. Calculate Mean Price per ZIP Code\n",
+    "\n",
+    "No risk of Data Leakage:\n",
+    "\n",
+    "Why it's acceptable:\n",
+    "Uses only historical/training data to calculate averages, mimicking real-world scenario where you'd use past data to predict future prices.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "id": "ffbaa74b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Found 70 unique ZIP codes\n",
+      "zipcode\n",
+      "98177    676419.392157\n",
+      "98178    310612.755725\n",
+      "98188    289078.345588\n",
+      "98198    302896.739286\n",
+      "98199    792187.873817\n",
+      "Name: zipcode_avg_price, dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate average price per ZIP code\n",
+    "zipcode_avg_price = df.groupby('zipcode')['price'].mean().rename('zipcode_avg_price')\n",
+    "\n",
+    "# Preview stats\n",
+    "print(f\"Found {len(zipcode_avg_price)} unique ZIP codes\")\n",
+    "print(zipcode_avg_price.tail())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "id": "28df2d9b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   zipcode   price  zipcode_avg_price\n",
+      "0    98178  221900      310612.755725\n",
+      "1    98125  538000      469928.767726\n",
+      "2    98028  180000      462488.869258\n",
+      "3    98136  604000      551768.520913\n",
+      "4    98074  510000      685675.843537\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Add as new column\n",
+    "df = df.merge(zipcode_avg_price, how='left', on='zipcode')\n",
+    "\n",
+    "# Verify\n",
+    "print(df[['zipcode', 'price', 'zipcode_avg_price']].head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "552a6442",
+   "metadata": {},
+   "source": [
+    "3. Create Price Premium Indicator\n",
+    "\n",
+    "RISKY / DANGEROUS LEAKAGE:\n",
+    "\n",
+    "would need to analyse more before implementing!\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "id": "3bdb15f5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Option A: Continuous premium ratio\n",
+    "# df['price_to_zip_avg'] = df['price'] / df['zipcode_avg_price']\n",
+    "\n",
+    "# # Option B: Binary premium flag (1 if above average)\n",
+    "# df['is_premium_zip'] = (df['price'] > df['zipcode_avg_price']).astype(int)\n",
+    "\n",
+    "# # Option C: Tiered categories\n",
+    "# df['zip_tier'] = pd.qcut(df['zipcode_avg_price'], q=3, labels=['low', 'medium', 'high'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "id": "e8441c99",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>date</th>\n",
+       "      <th>bedrooms</th>\n",
+       "      <th>bathrooms</th>\n",
+       "      <th>sqft_living</th>\n",
+       "      <th>sqft_lot</th>\n",
+       "      <th>floors</th>\n",
+       "      <th>waterfront</th>\n",
+       "      <th>view</th>\n",
+       "      <th>condition</th>\n",
+       "      <th>grade</th>\n",
+       "      <th>sqft_above</th>\n",
+       "      <th>sqft_basement</th>\n",
+       "      <th>yr_built</th>\n",
+       "      <th>yr_renovated</th>\n",
+       "      <th>zipcode</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>sqft_living15</th>\n",
+       "      <th>sqft_lot15</th>\n",
+       "      <th>price</th>\n",
+       "      <th>house_age</th>\n",
+       "      <th>was_renovated</th>\n",
+       "      <th>sale_year</th>\n",
+       "      <th>years_since_renov</th>\n",
+       "      <th>zipcode_avg_price</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7129300520</td>\n",
+       "      <td>10/13/2014</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1955</td>\n",
+       "      <td>0</td>\n",
+       "      <td>98178</td>\n",
+       "      <td>47.5112</td>\n",
+       "      <td>-122.257</td>\n",
+       "      <td>1340</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>221900</td>\n",
+       "      <td>70</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>310612.755725</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           id        date  bedrooms  bathrooms  sqft_living  sqft_lot  floors  \\\n",
+       "0  7129300520  10/13/2014         3        1.0         1180      5650     1.0   \n",
+       "\n",
+       "   waterfront  view  condition  grade  sqft_above  sqft_basement  yr_built  \\\n",
+       "0           0     0          3      7        1180              0      1955   \n",
+       "\n",
+       "   yr_renovated  zipcode      lat     long  sqft_living15  sqft_lot15   price  \\\n",
+       "0             0    98178  47.5112 -122.257           1340        5650  221900   \n",
+       "\n",
+       "   house_age  was_renovated  sale_year  years_since_renov  zipcode_avg_price  \n",
+       "0         70              0       2014                  0      310612.755725  "
+      ]
+     },
+     "execution_count": 144,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head(1)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ac8e0c42",
+   "metadata": {},
+   "source": [
+    "4. Update Feature Lists"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "id": "74dce332",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Add to numerical features (if using continuous version)\n",
+    "numerical_cols += ['zipcode_avg_price']\n",
+    "# numerical_cols += ['zipcode_avg_price', 'price_to_zip_avg']     # only if price to zip wont hurt the model with data leakeage\n",
+    "\n",
+    "\n",
+    "# Only if used before:\n",
+    "\n",
+    "# Or to categoricals (if using tiered/binary version)\n",
+    "# categorical_cols += ['is_premium_zip', 'zip_tier']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "17b7a3d5",
+   "metadata": {},
+   "source": [
+    "5. Visual Verification"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "e38f6c41",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plt.figure(figsize=(12,6))\n",
+    "# sns.boxplot(data=df, x='zip_tier', y='price', showfliers=False)\n",
+    "# plt.title(\"Price Distribution by ZIP Code Tier\");"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fa979472",
+   "metadata": {},
+   "source": [
+    "#### 3.1.4 2nd remove of Feature not relevant for ML\n",
+    "\n",
+    "- After using the 'date' feature to create new ones, delete it as it is not relevant anymore.\n",
+    "\n",
+    "- 'zipcode' is transformed into other numerical features (or feature with less categories) to have less categories to encode later"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "a00000be",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Drop useless columns first\n",
+    "df = df.drop(columns=['id'])  # Permanent removal\n",
+    "\n",
+    "df = df.drop(columns=['date'])  # Permanent removal\n",
+    "\n",
+    "df = df.drop(columns=['yr_built'])  # Permanent removal\n",
+    "\n",
+    "df = df.drop(columns=['zipcode'])  # Permanent removal\n",
+    "categorical_cols.remove('zipcode')\n",
+    "\n",
+    "df = df.drop(columns=['yr_renovated'])  # Permanent removal\n",
+    "numerical_cols.remove('yr_renovated')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "id": "67e9e76e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['bedrooms',\n",
+       " 'bathrooms',\n",
+       " 'sqft_living',\n",
+       " 'sqft_lot',\n",
+       " 'floors',\n",
+       " 'sqft_above',\n",
+       " 'sqft_basement',\n",
+       " 'lat',\n",
+       " 'long',\n",
+       " 'sqft_living15',\n",
+       " 'sqft_lot15',\n",
+       " 'house_age',\n",
+       " 'years_since_renov',\n",
+       " 'zipcode_avg_price']"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "['waterfront', 'view', 'condition', 'grade', 'was_renovated']"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(numerical_cols)\n",
+    "display(categorical_cols)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f00a167b",
+   "metadata": {},
+   "source": [
+    "### 3.2. Removing Collinear Features\n",
+    "\n",
+    "**Goal**: Identify and remove highly correlated features to improve model performance and interpretability.\n",
+    "\n",
+    "**Why?**  \n",
+    "- Collinear features (e.g., `sqft_living` vs `sqft_above`) provide redundant information  \n",
+    "- Can distort linear regression coefficients  \n",
+    "- May inflate variance in tree-based models  \n",
+    "\n",
+    "**Steps Performed**:  \n",
+    "1. Calculated correlation matrix for all numerical features  \n",
+    "2. Identified feature pairs with correlation > 0.8 (high collinearity)  \n",
+    "3. Removed one feature from each highly correlated pair:  \n",
+    "   - Kept the feature more strongly correlated with price  \n",
+    "   - Dropped the less important/interpretable one  \n",
+    "\n",
+    "**Result**: Leave `sqft_living`, remove: `'sqft_above', 'sqft_living15', 'bathrooms', 'sqft_lot15', 'house_age'`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0e236a44",
+   "metadata": {},
+   "source": [
+    "#### 3.2.1 Correlation Analysis / Automated selection of features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "id": "76eb0625",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x1000 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Calculate correlations (numerical features only)\n",
+    "corr_matrix = df[numerical_cols + ['price']].corr()  # Include target!\n",
+    "\n",
+    "#Set up mask for triangle representation\n",
+    "mask = np.zeros_like(corr_matrix, dtype=bool)\n",
+    "mask[np.triu_indices_from(mask)] = True\n",
+    "\n",
+    "# Set up the matplotlib figure\n",
+    "f, ax = plt.subplots(figsize=(10, 10))\n",
+    "\n",
+    "# # Custom color palette (dark for high correlation, light for low)\n",
+    "# cmap = sns.diverging_palette(10, 220, as_cmap=True)  # Reversed for darker highs\n",
+    "\n",
+    "# Custom color palette (red=high, blue=low)\n",
+    "cmap = sns.diverging_palette(10, 240, n=256, as_cmap=True)  # Dark red -> Light blue\n",
+    "\n",
+    "# Draw the heatmap with the mask and correct aspect ratio\n",
+    "sns.heatmap(corr_matrix, mask=mask, cmap=cmap, vmax=1,square=True, linewidths=.5, cbar_kws={\"shrink\": .5},annot = corr_matrix)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "id": "839a28bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dropped collinear features: {'bathrooms', 'sqft_lot15', 'sqft_above', 'sqft_living15'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Calculate correlation matrix\n",
+    "corr_matrix = df[numerical_cols].corr().abs()\n",
+    "\n",
+    "# Identify high-correlation pairs\n",
+    "high_corr = (corr_matrix > 0.7) & (corr_matrix < 1.0)\n",
+    "to_drop = set()\n",
+    "\n",
+    "# Iterate through correlated pairs\n",
+    "for col in high_corr.columns:\n",
+    "    correlated_cols = high_corr.index[high_corr[col]].tolist()\n",
+    "    for corr_col in correlated_cols:\n",
+    "        if col != corr_col:\n",
+    "            # Keep feature with higher price correlation\n",
+    "            if df[['price', col]].corr().iloc[0,1] < df[['price', corr_col]].corr().iloc[0,1]:\n",
+    "                to_drop.add(col)\n",
+    "            else:\n",
+    "                to_drop.add(corr_col)\n",
+    "\n",
+    "# Update features\n",
+    "numerical_cols = [col for col in numerical_cols if col not in to_drop]\n",
+    "print(f\"Dropped collinear features: {to_drop}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4cc02f68",
+   "metadata": {},
+   "source": [
+    "#### 3.2.2 Droping selected features"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "id": "4b29d0af",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Dropped collinear features: {'bathrooms', 'sqft_lot15', 'sqft_above', 'sqft_living15'}\n",
+      "Remaining numerical features: ['bedrooms', 'sqft_living', 'sqft_lot', 'floors', 'sqft_basement', 'lat', 'long', 'house_age', 'years_since_renov', 'zipcode_avg_price']\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Actually drop from DataFrame\n",
+    "df = df.drop(columns=to_drop)\n",
+    "\n",
+    "# Update numerical features list\n",
+    "numerical_cols = [col for col in numerical_cols if col not in to_drop]\n",
+    "\n",
+    "print(f\"Dropped collinear features: {to_drop}\")\n",
+    "print(f\"Remaining numerical features: {numerical_cols}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3eb1aad6",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0672eb79",
+   "metadata": {},
+   "source": [
+    "## 4. Data Preparation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f450fa2d",
+   "metadata": {},
+   "source": [
+    "### 4.0 Data separation (Features / Target)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "id": "4c54e064",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X shape: (21597, 16)\n",
+      "y shape: (21597,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Separate features (X) and target (y)\n",
+    "X = df.drop(columns=['price'])  # Features (all columns except target)\n",
+    "y = df['price']                 # Target\n",
+    "\n",
+    "# Verify shapes\n",
+    "print(\"X shape:\", X.shape)  # Should be (21597, 21) for your dataset\n",
+    "print(\"y shape:\", y.shape)  # Should be (21597,)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2acd87be",
+   "metadata": {},
+   "source": [
+    "### 4.1 Target Outliers: treatment Log Transformation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "id": "18644d69",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply log transformation to target (price)\n",
+    "# y_log = np.log1p(y)  # log(1+y) to handle zero values\n",
+    "\n",
+    "# Now use y_log for modeling instead of original y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b465f28",
+   "metadata": {},
+   "source": [
+    "### 4.2 One Hot Encoding: Encode Categorical Variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "05bc1ff0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # One-Hot Encoding (Non-ordinal categories)\n",
+    "\n",
+    "# # One-hot encode categorical columns\n",
+    "# X_encoded = pd.get_dummies(X, columns=categorical_cols, drop_first=True)\n",
+    "\n",
+    "# X_encoded.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "704d1aae",
+   "metadata": {},
+   "source": [
+    "### 4.3 Train-Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "id": "d59f15f8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train-test split\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "# Basic Train Test split\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding:\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X_encoded, y, test_size=0.2)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding and y log transformed\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X_encoded, y_log, test_size=0.2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5b5c9ab",
+   "metadata": {},
+   "source": [
+    "### 4.4. Standardization StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "id": "03e4e950",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# # --- NEW CELL: Scaling ---\n",
+    "# numerical_cols  # Add your numericals\n",
+    "\n",
+    "# scaler = StandardScaler()\n",
+    "# X_train[numerical_cols] = scaler.fit_transform(X_train[numerical_cols])\n",
+    "# X_test[numerical_cols] = scaler.transform(X_test[numerical_cols])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fbe4d472",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5783197b",
+   "metadata": {},
+   "source": [
+    "## 5. Import Baseline Model Training"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "id": "1c896fb6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.linear_model import LinearRegression, Ridge\n",
+    "from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor\n",
+    "from sklearn.metrics import root_mean_squared_error"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1c3c431d",
+   "metadata": {},
+   "source": [
+    "--------\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "554753eb",
+   "metadata": {},
+   "source": [
+    "# 5.1 1st Model test (Baseline):\n",
+    "\n",
+    "- Basic Linear Regression\n",
+    "- No Encoding, no scaling, no feature selection, no log transform\n",
+    "\n",
+    "**1st round (no feature selection):**\n",
+    "\n",
+    "    Train score: 0.70\n",
+    "\n",
+    "    Test score:  0.69\n",
+    "\n",
+    "    RMSE: $200,061.98\n",
+    "\n",
+    "**2th round (Feature Selection: correlation and Zipcode, / created: Years Since Renovation):**\n",
+    "\n",
+    "    Train score: 0.793\n",
+    "    Test score:  0.777\n",
+    "    RMSE: $170,492.04"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "id": "f83de0a5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "First Baseline model Linear Regression:\n",
+      "Train score: 0.793\n",
+      "Test score:  0.777\n",
+      "RMSE: $170,492.04\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Train\n",
+    "model = LinearRegression()\n",
+    "model.fit(X_train, y_train)\n",
+    "\n",
+    "# Test\n",
+    "predictions = model.predict(X_test)\n",
+    "\n",
+    "# Score the model\n",
+    "train_score = model.score(X_train, y_train)\n",
+    "test_score = model.score(X_test, y_test)\n",
+    "\n",
+    "# Print formatted\n",
+    "print('First Baseline model Linear Regression:')\n",
+    "print(f\"Train score: {train_score:.3f}\")\n",
+    "print(f\"Test score:  {test_score:.3f}\")\n",
+    "\n",
+    "rmse = root_mean_squared_error(y_test, predictions)\n",
+    "print(f\"RMSE: ${rmse:,.2f}\")  # Example: \"RMSE: $210,000\"\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0f51bd42",
+   "metadata": {},
+   "source": [
+    "NOTE: First Baseline model Linear Regression: had a very low test score\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "49823d4d",
+   "metadata": {},
+   "source": [
+    "# 5.2 2nd Model test:\n",
+    "\n",
+    "Models: \n",
+    "- Linear Regression\n",
+    "- Ridge Regression\n",
+    "- Random Forest\n",
+    "- Gradient Boosting\n",
+    "\n",
+    "With:\n",
+    "- Encoding \n",
+    "\n",
+    "Without:\n",
+    "- scaling\n",
+    "- feature selection\n",
+    "- log transform\n",
+    "\n",
+    "----\n",
+    "\n",
+    "**1st round (no feature selection):**\n",
+    "\n",
+    "=== Final Performance (Sorted by Test RMSE) ===\n",
+    "\n",
+    "Random Forest:\n",
+    "  R²  -> Train: 0.982 | Test: 0.867\n",
+    "  RMSE -> Train: $49,670.36 | Test: $130,330.72\n",
+    "\n",
+    "--\n",
+    "\n",
+    "Gradient Boosting:\n",
+    "  R²  -> Train: 0.899 | Test: 0.861\n",
+    "  RMSE -> Train: $117,276.70 | Test: $133,433.89\n",
+    "\n",
+    "Ridge Regression:\n",
+    "  R²  -> Train: 0.834 | Test: 0.843\n",
+    "  RMSE -> Train: $150,730.24 | Test: $141,687.34\n",
+    "\n",
+    "Linear Regression:\n",
+    "  R²  -> Train: 0.835 | Test: 0.842\n",
+    "  RMSE -> Train: $150,251.78 | Test: $141,928.87\n",
+    "\n",
+    "---\n",
+    "\n",
+    "**2th round (Feature Selection: correlation and Zipcode, / created: Years Since Renovation):**\n",
+    "\n",
+    "=== Final Performance (Sorted by Test RMSE) ===\n",
+    "\n",
+    "Random Forest:\n",
+    "  R²  -> Train: 0.984 | Test: 0.872\n",
+    "  RMSE -> Train: $47,010.60 | Test: $128,915.35\n",
+    "\n",
+    "--\n",
+    "\n",
+    "Gradient Boosting:\n",
+    "  R²  -> Train: 0.901 | Test: 0.861\n",
+    "  RMSE -> Train: $116,035.54 | Test: $134,566.96\n",
+    "\n",
+    "Ridge Regression:\n",
+    "  R²  -> Train: 0.825 | Test: 0.792\n",
+    "  RMSE -> Train: $154,477.83 | Test: $164,522.24\n",
+    "\n",
+    "Linear Regression:\n",
+    "  R²  -> Train: 0.825 | Test: 0.791\n",
+    "  RMSE -> Train: $154,408.20 | Test: $165,080.34"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4a017094",
+   "metadata": {},
+   "source": [
+    "## 4. Data Preparation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "314239ab",
+   "metadata": {},
+   "source": [
+    "### 4.0 Data separation (Features / Target)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "e20c4fa4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X shape: (21597, 16)\n",
+      "y shape: (21597,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Separate features (X) and target (y)\n",
+    "X = df.drop(columns=['price'])  # Features (all columns except target)\n",
+    "y = df['price']                 # Target\n",
+    "\n",
+    "# Verify shapes\n",
+    "print(\"X shape:\", X.shape)  # Should be (21597, 20) for your dataset\n",
+    "print(\"y shape:\", y.shape)  # Should be (21597,)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "132df65f",
+   "metadata": {},
+   "source": [
+    "### 4.1 Target Outliers: treatment Log Transformation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "9e61a002",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply log transformation to target (price)\n",
+    "# y_log = np.log1p(y)  # log(1+y) to handle zero values\n",
+    "\n",
+    "# Now use y_log for modeling instead of original y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "58479760",
+   "metadata": {},
+   "source": [
+    "### 4.2 One Hot Encoding: Encode Categorical Variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "ab3ad504",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>bedrooms</th>\n",
+       "      <th>sqft_living</th>\n",
+       "      <th>sqft_lot</th>\n",
+       "      <th>floors</th>\n",
+       "      <th>sqft_basement</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>house_age</th>\n",
+       "      <th>sale_year</th>\n",
+       "      <th>years_since_renov</th>\n",
+       "      <th>zipcode_avg_price</th>\n",
+       "      <th>waterfront_1</th>\n",
+       "      <th>view_1</th>\n",
+       "      <th>view_2</th>\n",
+       "      <th>view_3</th>\n",
+       "      <th>view_4</th>\n",
+       "      <th>condition_2</th>\n",
+       "      <th>condition_3</th>\n",
+       "      <th>condition_4</th>\n",
+       "      <th>condition_5</th>\n",
+       "      <th>grade_4</th>\n",
+       "      <th>grade_5</th>\n",
+       "      <th>grade_6</th>\n",
+       "      <th>grade_7</th>\n",
+       "      <th>grade_8</th>\n",
+       "      <th>grade_9</th>\n",
+       "      <th>grade_10</th>\n",
+       "      <th>grade_11</th>\n",
+       "      <th>grade_12</th>\n",
+       "      <th>grade_13</th>\n",
+       "      <th>was_renovated_1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.5112</td>\n",
+       "      <td>-122.257</td>\n",
+       "      <td>70</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>310612.755725</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2570</td>\n",
+       "      <td>7242</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>400</td>\n",
+       "      <td>47.7210</td>\n",
+       "      <td>-122.319</td>\n",
+       "      <td>74</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>469928.767726</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>770</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.7379</td>\n",
+       "      <td>-122.233</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>462488.869258</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>5000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>910</td>\n",
+       "      <td>47.5208</td>\n",
+       "      <td>-122.393</td>\n",
+       "      <td>60</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>551768.520913</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1680</td>\n",
+       "      <td>8080</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.6168</td>\n",
+       "      <td>-122.045</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>685675.843537</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   bedrooms  sqft_living  sqft_lot  floors  sqft_basement      lat     long  \\\n",
+       "0         3         1180      5650     1.0              0  47.5112 -122.257   \n",
+       "1         3         2570      7242     2.0            400  47.7210 -122.319   \n",
+       "2         2          770     10000     1.0              0  47.7379 -122.233   \n",
+       "3         4         1960      5000     1.0            910  47.5208 -122.393   \n",
+       "4         3         1680      8080     1.0              0  47.6168 -122.045   \n",
+       "\n",
+       "   house_age  sale_year  years_since_renov  zipcode_avg_price  waterfront_1  \\\n",
+       "0         70       2014                  0      310612.755725         False   \n",
+       "1         74       2014               1991      469928.767726         False   \n",
+       "2         92       2015                  0      462488.869258         False   \n",
+       "3         60       2014                  0      551768.520913         False   \n",
+       "4         38       2015                  0      685675.843537         False   \n",
+       "\n",
+       "   view_1  view_2  view_3  view_4  condition_2  condition_3  condition_4  \\\n",
+       "0   False   False   False   False        False         True        False   \n",
+       "1   False   False   False   False        False         True        False   \n",
+       "2   False   False   False   False        False         True        False   \n",
+       "3   False   False   False   False        False        False        False   \n",
+       "4   False   False   False   False        False         True        False   \n",
+       "\n",
+       "   condition_5  grade_4  grade_5  grade_6  grade_7  grade_8  grade_9  \\\n",
+       "0        False    False    False    False     True    False    False   \n",
+       "1        False    False    False    False     True    False    False   \n",
+       "2        False    False    False     True    False    False    False   \n",
+       "3         True    False    False    False     True    False    False   \n",
+       "4        False    False    False    False    False     True    False   \n",
+       "\n",
+       "   grade_10  grade_11  grade_12  grade_13  was_renovated_1  \n",
+       "0     False     False     False     False            False  \n",
+       "1     False     False     False     False             True  \n",
+       "2     False     False     False     False            False  \n",
+       "3     False     False     False     False            False  \n",
+       "4     False     False     False     False            False  "
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# One-Hot Encoding (Non-ordinal categories)\n",
+    "\n",
+    "# One-hot encode categorical columns\n",
+    "X_encoded = pd.get_dummies(X, columns=categorical_cols, drop_first=True)\n",
+    "\n",
+    "X_encoded.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16302bef",
+   "metadata": {},
+   "source": [
+    "### 4.3 Train-Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "5f65b76f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train-test split\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "# Basic Train Test split\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding:\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X_encoded, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding and y log transformed\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X_encoded, y_log, test_size=0.2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "494e7182",
+   "metadata": {},
+   "source": [
+    "### 4.4 Standardization StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "16cf1e3d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# # --- NEW CELL: Scaling ---\n",
+    "# numerical_cols  # Add your numericals\n",
+    "\n",
+    "# scaler = StandardScaler()\n",
+    "# X_train[numerical_cols] = scaler.fit_transform(X_train[numerical_cols])\n",
+    "# X_test[numerical_cols] = scaler.transform(X_test[numerical_cols])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7083bff",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4d9b757b",
+   "metadata": {},
+   "source": [
+    "## 5. Import Baseline Model Training"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "b39d83cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train score: 0.82\n",
+      "Test score:  0.79\n",
+      "RMSE: $165,080.34\n"
+     ]
+    }
+   ],
+   "source": [
+    "# # Train\n",
+    "# model = LinearRegression()\n",
+    "# model.fit(X_train, y_train)\n",
+    "\n",
+    "# # Test\n",
+    "# predictions = model.predict(X_test)\n",
+    "\n",
+    "# # Score the model\n",
+    "# train_score = model.score(X_train, y_train)\n",
+    "# test_score = model.score(X_test, y_test)\n",
+    "\n",
+    "# # Print formatted\n",
+    "# print(f\"Train score: {train_score:.2f}\")\n",
+    "# print(f\"Test score:  {test_score:.2f}\")\n",
+    "\n",
+    "# rmse = root_mean_squared_error(y_test, predictions)\n",
+    "# print(f\"RMSE: ${rmse:,.2f}\")  # Example: \"RMSE: $210,000\"\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c8823b3a",
+   "metadata": {},
+   "source": [
+    "## 5. Different Model comparation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "9b5ef170",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Linear Regression trained\n",
+      "Ridge Regression trained\n",
+      "Random Forest trained\n",
+      "Gradient Boosting trained\n",
+      "\n",
+      "=== Final Performance (Sorted by Test RMSE) ===\n",
+      "Random Forest:\n",
+      "  R²  -> Train: 0.984 | Test: 0.872\n",
+      "  RMSE -> Train: $47,010.60 | Test: $128,915.35\n",
+      "\n",
+      "Gradient Boosting:\n",
+      "  R²  -> Train: 0.901 | Test: 0.861\n",
+      "  RMSE -> Train: $116,035.54 | Test: $134,566.96\n",
+      "\n",
+      "Ridge Regression:\n",
+      "  R²  -> Train: 0.825 | Test: 0.792\n",
+      "  RMSE -> Train: $154,477.83 | Test: $164,522.24\n",
+      "\n",
+      "Linear Regression:\n",
+      "  R²  -> Train: 0.825 | Test: 0.791\n",
+      "  RMSE -> Train: $154,408.20 | Test: $165,080.34\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "models = {\n",
+    "    \"Linear Regression\": LinearRegression(),\n",
+    "    \"Ridge Regression\": Ridge(alpha=1.0),\n",
+    "    \"Random Forest\": RandomForestRegressor(n_estimators=100, random_state=42),\n",
+    "    \"Gradient Boosting\": GradientBoostingRegressor(n_estimators=100, random_state=42)\n",
+    "}\n",
+    "\n",
+    "results = {}\n",
+    "for name, model in models.items():\n",
+    "    # Train\n",
+    "    model.fit(X_train, y_train)\n",
+    "    print(f\"{name} trained\")\n",
+    "    \n",
+    "    # Predictions\n",
+    "    y_pred_train = model.predict(X_train)\n",
+    "    y_pred_test = model.predict(X_test)\n",
+    "    \n",
+    "    # Calculate scores\n",
+    "    train_score = model.score(X_train, y_train)  # R² score (training)\n",
+    "    test_score = model.score(X_test, y_test)     # R² score (test)\n",
+    "    train_rmse = root_mean_squared_error(y_train, y_pred_train)\n",
+    "    test_rmse = root_mean_squared_error(y_test, y_pred_test)\n",
+    "    \n",
+    "    results[name] = {\n",
+    "        \"Train R²\": train_score,\n",
+    "        \"Test R²\": test_score,\n",
+    "        \"Train RMSE\": train_rmse,\n",
+    "        \"Test RMSE\": test_rmse\n",
+    "    }\n",
+    "    # print(f\"{name} - Train R²: {train_score:.3f} | Test R²: {test_score:.3f}\")\n",
+    "    # print(f\"          Train RMSE: ${train_rmse:,.2f} | Test RMSE: ${test_rmse:,.2f}\\n\")\n",
+    "\n",
+    "# Show results sorted by best Test RMSE\n",
+    "print(\"\\n=== Final Performance (Sorted by Test RMSE) ===\")\n",
+    "for name, metrics in sorted(results.items(), key=lambda x: x[1][\"Test RMSE\"]):\n",
+    "    print(f\"{name}:\")\n",
+    "    print(f\"  R²  -> Train: {metrics['Train R²']:.3f} | Test: {metrics['Test R²']:.3f}\")\n",
+    "    print(f\"  RMSE -> Train: ${metrics['Train RMSE']:,.2f} | Test: ${metrics['Test RMSE']:,.2f}\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b7fcd2e3",
+   "metadata": {},
+   "source": [
+    "# 5.3 3rd Model test:\n",
+    "\n",
+    "Models: \n",
+    "- Linear Regression\n",
+    "- Ridge Regression\n",
+    "- Random Forest\n",
+    "- Gradient Boosting\n",
+    "\n",
+    "With:\n",
+    "- Encoding \n",
+    "- scaling\n",
+    "\n",
+    "Without:\n",
+    "- feature selection\n",
+    "- log transform\n",
+    "\n",
+    "----\n",
+    "\n",
+    "**1st round (no feature selection):**\n",
+    "\n",
+    "=== Final Performance (Sorted by Test RMSE) ===\n",
+    "\n",
+    "Random Forest:\n",
+    "  R²  -> Train: 0.982 | Test: 0.833\n",
+    "  RMSE -> Train: $50,290.39 | Test: $137,340.84\n",
+    "\n",
+    "--\n",
+    "\n",
+    "Gradient Boosting:\n",
+    "  R²  -> Train: 0.904 | Test: 0.832\n",
+    "  RMSE -> Train: $116,213.05 | Test: $137,977.40\n",
+    "\n",
+    "Ridge Regression:\n",
+    "  R²  -> Train: 0.838 | Test: 0.822\n",
+    "  RMSE -> Train: $150,838.58 | Test: $141,843.09\n",
+    "\n",
+    "Linear Regression:\n",
+    "  R²  -> Train: 0.839 | Test: 0.821\n",
+    "  RMSE -> Train: $150,423.38 | Test: $142,294.24\n",
+    "\n",
+    "---\n",
+    "\n",
+    "**2th round (Feature Selection: correlation and Zipcode, / created: Years Since Renovation):**\n",
+    "\n",
+    "=== Final Performance (Sorted by Test RMSE) ===\n",
+    "\n",
+    "Random Forest:\n",
+    "  R²  -> Train: 0.984 | Test: 0.872\n",
+    "  RMSE -> Train: $47,012.91 | Test: $129,001.27\n",
+    "\n",
+    "--\n",
+    "\n",
+    "Gradient Boosting:\n",
+    "  R²  -> Train: 0.901 | Test: 0.861\n",
+    "  RMSE -> Train: $116,035.54 | Test: $134,563.17\n",
+    "\n",
+    "Ridge Regression:\n",
+    "  R²  -> Train: 0.825 | Test: 0.792\n",
+    "  RMSE -> Train: $154,478.04 | Test: $164,521.37\n",
+    "\n",
+    "Linear Regression:\n",
+    "  R²  -> Train: 0.825 | Test: 0.791\n",
+    "  RMSE -> Train: $154,408.20 | Test: $165,080.34  "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c86b0d4d",
+   "metadata": {},
+   "source": [
+    "## 4. Data Preparation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff0883ed",
+   "metadata": {},
+   "source": [
+    "### 4.0 Data separation (Features / Target)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "id": "29761065",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X shape: (21597, 16)\n",
+      "y shape: (21597,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Separate features (X) and target (y)\n",
+    "X = df.drop(columns=['price'])  # Features (all columns except target)\n",
+    "y = df['price']                 # Target\n",
+    "\n",
+    "# Verify shapes\n",
+    "print(\"X shape:\", X.shape)  # Should be (21597, 20) for your dataset\n",
+    "print(\"y shape:\", y.shape)  # Should be (21597,)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3934be3a",
+   "metadata": {},
+   "source": [
+    "### 4.1 Target Outliers: treatment Log Transformation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "e9d41a4c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply log transformation to target (price)\n",
+    "# y_log = np.log1p(y)  # log(1+y) to handle zero values\n",
+    "\n",
+    "# Now use y_log for modeling instead of original y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "771cbd43",
+   "metadata": {},
+   "source": [
+    "### 4.2 One Hot Encoding: Encode Categorical Variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "id": "b9c3b47f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>bedrooms</th>\n",
+       "      <th>sqft_living</th>\n",
+       "      <th>sqft_lot</th>\n",
+       "      <th>floors</th>\n",
+       "      <th>sqft_basement</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>house_age</th>\n",
+       "      <th>sale_year</th>\n",
+       "      <th>years_since_renov</th>\n",
+       "      <th>zipcode_avg_price</th>\n",
+       "      <th>waterfront_1</th>\n",
+       "      <th>view_1</th>\n",
+       "      <th>view_2</th>\n",
+       "      <th>view_3</th>\n",
+       "      <th>view_4</th>\n",
+       "      <th>condition_2</th>\n",
+       "      <th>condition_3</th>\n",
+       "      <th>condition_4</th>\n",
+       "      <th>condition_5</th>\n",
+       "      <th>grade_4</th>\n",
+       "      <th>grade_5</th>\n",
+       "      <th>grade_6</th>\n",
+       "      <th>grade_7</th>\n",
+       "      <th>grade_8</th>\n",
+       "      <th>grade_9</th>\n",
+       "      <th>grade_10</th>\n",
+       "      <th>grade_11</th>\n",
+       "      <th>grade_12</th>\n",
+       "      <th>grade_13</th>\n",
+       "      <th>was_renovated_1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.5112</td>\n",
+       "      <td>-122.257</td>\n",
+       "      <td>70</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>310612.755725</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2570</td>\n",
+       "      <td>7242</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>400</td>\n",
+       "      <td>47.7210</td>\n",
+       "      <td>-122.319</td>\n",
+       "      <td>74</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>469928.767726</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>770</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.7379</td>\n",
+       "      <td>-122.233</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>462488.869258</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>5000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>910</td>\n",
+       "      <td>47.5208</td>\n",
+       "      <td>-122.393</td>\n",
+       "      <td>60</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>551768.520913</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1680</td>\n",
+       "      <td>8080</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.6168</td>\n",
+       "      <td>-122.045</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>685675.843537</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   bedrooms  sqft_living  sqft_lot  floors  sqft_basement      lat     long  \\\n",
+       "0         3         1180      5650     1.0              0  47.5112 -122.257   \n",
+       "1         3         2570      7242     2.0            400  47.7210 -122.319   \n",
+       "2         2          770     10000     1.0              0  47.7379 -122.233   \n",
+       "3         4         1960      5000     1.0            910  47.5208 -122.393   \n",
+       "4         3         1680      8080     1.0              0  47.6168 -122.045   \n",
+       "\n",
+       "   house_age  sale_year  years_since_renov  zipcode_avg_price  waterfront_1  \\\n",
+       "0         70       2014                  0      310612.755725         False   \n",
+       "1         74       2014               1991      469928.767726         False   \n",
+       "2         92       2015                  0      462488.869258         False   \n",
+       "3         60       2014                  0      551768.520913         False   \n",
+       "4         38       2015                  0      685675.843537         False   \n",
+       "\n",
+       "   view_1  view_2  view_3  view_4  condition_2  condition_3  condition_4  \\\n",
+       "0   False   False   False   False        False         True        False   \n",
+       "1   False   False   False   False        False         True        False   \n",
+       "2   False   False   False   False        False         True        False   \n",
+       "3   False   False   False   False        False        False        False   \n",
+       "4   False   False   False   False        False         True        False   \n",
+       "\n",
+       "   condition_5  grade_4  grade_5  grade_6  grade_7  grade_8  grade_9  \\\n",
+       "0        False    False    False    False     True    False    False   \n",
+       "1        False    False    False    False     True    False    False   \n",
+       "2        False    False    False     True    False    False    False   \n",
+       "3         True    False    False    False     True    False    False   \n",
+       "4        False    False    False    False    False     True    False   \n",
+       "\n",
+       "   grade_10  grade_11  grade_12  grade_13  was_renovated_1  \n",
+       "0     False     False     False     False            False  \n",
+       "1     False     False     False     False             True  \n",
+       "2     False     False     False     False            False  \n",
+       "3     False     False     False     False            False  \n",
+       "4     False     False     False     False            False  "
+      ]
+     },
+     "execution_count": 57,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# One-Hot Encoding (Non-ordinal categories)\n",
+    "\n",
+    "# One-hot encode categorical columns\n",
+    "X_encoded = pd.get_dummies(X, columns=categorical_cols, drop_first=True)\n",
+    "\n",
+    "X_encoded.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "94ed12dc",
+   "metadata": {},
+   "source": [
+    "### 4.3 Train-Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "5c0d1865",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train-test split\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "# Basic Train Test split\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding:\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X_encoded, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding and y log transformed\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X_encoded, y_log, test_size=0.2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8a200487",
+   "metadata": {},
+   "source": [
+    "### 4.4 Standardization StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "ad4c059a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# --- NEW CELL: Scaling ---\n",
+    "numerical_cols  # Add your numericals\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "X_train[numerical_cols] = scaler.fit_transform(X_train[numerical_cols])\n",
+    "X_test[numerical_cols] = scaler.transform(X_test[numerical_cols])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37f086ee",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8e6b141b",
+   "metadata": {},
+   "source": [
+    "## 5. Different Model comparation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "920655c3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Linear Regression trained\n",
+      "Ridge Regression trained\n",
+      "Random Forest trained\n",
+      "Gradient Boosting trained\n",
+      "\n",
+      "=== Final Performance (Sorted by Test RMSE) ===\n",
+      "Random Forest:\n",
+      "  R²  -> Train: 0.984 | Test: 0.872\n",
+      "  RMSE -> Train: $47,012.91 | Test: $129,001.27\n",
+      "\n",
+      "Gradient Boosting:\n",
+      "  R²  -> Train: 0.901 | Test: 0.861\n",
+      "  RMSE -> Train: $116,035.54 | Test: $134,563.17\n",
+      "\n",
+      "Ridge Regression:\n",
+      "  R²  -> Train: 0.825 | Test: 0.792\n",
+      "  RMSE -> Train: $154,478.04 | Test: $164,521.37\n",
+      "\n",
+      "Linear Regression:\n",
+      "  R²  -> Train: 0.825 | Test: 0.791\n",
+      "  RMSE -> Train: $154,408.20 | Test: $165,080.34\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "models = {\n",
+    "    \"Linear Regression\": LinearRegression(),\n",
+    "    \"Ridge Regression\": Ridge(alpha=1.0),\n",
+    "    \"Random Forest\": RandomForestRegressor(n_estimators=100, random_state=42),\n",
+    "    \"Gradient Boosting\": GradientBoostingRegressor(n_estimators=100, random_state=42)\n",
+    "}\n",
+    "\n",
+    "results = {}\n",
+    "for name, model in models.items():\n",
+    "    # Train\n",
+    "    model.fit(X_train, y_train)\n",
+    "    print(f\"{name} trained\")\n",
+    "    \n",
+    "    # Predictions\n",
+    "    y_pred_train = model.predict(X_train)\n",
+    "    y_pred_test = model.predict(X_test)\n",
+    "    \n",
+    "    # Calculate scores\n",
+    "    train_score = model.score(X_train, y_train)  # R² score (training)\n",
+    "    test_score = model.score(X_test, y_test)     # R² score (test)\n",
+    "    train_rmse = root_mean_squared_error(y_train, y_pred_train)\n",
+    "    test_rmse = root_mean_squared_error(y_test, y_pred_test)\n",
+    "    \n",
+    "    results[name] = {\n",
+    "        \"Train R²\": train_score,\n",
+    "        \"Test R²\": test_score,\n",
+    "        \"Train RMSE\": train_rmse,\n",
+    "        \"Test RMSE\": test_rmse\n",
+    "    }\n",
+    "    # print(f\"{name} - Train R²: {train_score:.3f} | Test R²: {test_score:.3f}\")\n",
+    "    # print(f\"          Train RMSE: ${train_rmse:,.2f} | Test RMSE: ${test_rmse:,.2f}\\n\")\n",
+    "\n",
+    "# Show results sorted by best Test RMSE\n",
+    "print(\"\\n=== Final Performance (Sorted by Test RMSE) ===\")\n",
+    "for name, metrics in sorted(results.items(), key=lambda x: x[1][\"Test RMSE\"]):\n",
+    "    print(f\"{name}:\")\n",
+    "    print(f\"  R²  -> Train: {metrics['Train R²']:.3f} | Test: {metrics['Test R²']:.3f}\")\n",
+    "    print(f\"  RMSE -> Train: ${metrics['Train RMSE']:,.2f} | Test: ${metrics['Test RMSE']:,.2f}\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "202b03ba",
+   "metadata": {},
+   "source": [
+    "-------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "20fc04a1",
+   "metadata": {},
+   "source": [
+    "# 5.4 4th Model test:\n",
+    "\n",
+    "Models: \n",
+    "- Linear Regression\n",
+    "- Ridge Regression\n",
+    "- Random Forest\n",
+    "- Gradient Boosting\n",
+    "\n",
+    "With:\n",
+    "- Encoding \n",
+    "- scaling\n",
+    "- log transform\n",
+    "\n",
+    "Without:\n",
+    "\n",
+    "----\n",
+    "\n",
+    "**1st round (no feature selection):**\n",
+    "\n",
+    "\n",
+    "=== Final Performance (Sorted by Test RMSE) ===\n",
+    "\n",
+    "Linear Regression:\n",
+    "  R²  -> Train: 0.879 | Test: 0.882\n",
+    "  RMSE -> Train: $156,886.27 | Test: $127,950.01\n",
+    "\n",
+    "--\n",
+    "\n",
+    "Ridge Regression:\n",
+    "  R²  -> Train: 0.879 | Test: 0.882\n",
+    "  RMSE -> Train: $156,739.73 | Test: $128,524.31\n",
+    "\n",
+    "Random Forest:\n",
+    "  R²  -> Train: 0.982 | Test: 0.881\n",
+    "  RMSE -> Train: $55,072.74 | Test: $134,551.87\n",
+    "\n",
+    "Gradient Boosting:\n",
+    "  R²  -> Train: 0.880 | Test: 0.869\n",
+    "  RMSE -> Train: $129,757.72 | Test: $143,949.22\n",
+    "\n",
+    "---\n",
+    "\n",
+    "**2th round (Feature Selection: correlation and Zipcode, / created: Years Since Renovation):**\n",
+    "\n",
+    "=== Final Performance (Sorted by Test RMSE) ===\n",
+    "\n",
+    "Random Forest:\n",
+    "  R²  -> Train: 0.984 | Test: 0.889\n",
+    "  RMSE -> Train: $51,832.10 | Test: $129,695.94\n",
+    "\n",
+    "--\n",
+    "\n",
+    "Gradient Boosting:\n",
+    "  R²  -> Train: 0.889 | Test: 0.877\n",
+    "  RMSE -> Train: $125,170.92 | Test: $138,465.08\n",
+    "\n",
+    "Linear Regression:\n",
+    "  R²  -> Train: 0.850 | Test: 0.846\n",
+    "  RMSE -> Train: $195,155.47 | Test: $168,231.90\n",
+    "\n",
+    "Ridge Regression:\n",
+    "  R²  -> Train: 0.850 | Test: 0.846\n",
+    "  RMSE -> Train: $194,491.61 | Test: $168,379.52"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89b1c6f9",
+   "metadata": {},
+   "source": [
+    "## 4. Data Preparation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bea9b5ac",
+   "metadata": {},
+   "source": [
+    "### 4.0 Data separation (Features / Target)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "id": "ff465f1c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X shape: (21597, 16)\n",
+      "y shape: (21597,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Separate features (X) and target (y)\n",
+    "X = df.drop(columns=['price'])  # Features (all columns except target)\n",
+    "y = df['price']                 # Target\n",
+    "\n",
+    "# Verify shapes\n",
+    "print(\"X shape:\", X.shape)  # Should be (21597, 20) for your dataset\n",
+    "print(\"y shape:\", y.shape)  # Should be (21597,)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c62e917d",
+   "metadata": {},
+   "source": [
+    "### 4.1 Target Outliers: treatment Log Transformation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "80bae6b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply log transformation to target (price)\n",
+    "y_log = np.log1p(y)  # log(1+y) to handle zero values\n",
+    "\n",
+    "# Now use y_log for modeling instead of original y"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1b0cd183",
+   "metadata": {},
+   "source": [
+    "### 4.2 One Hot Encoding: Encode Categorical Variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 63,
+   "id": "e5980aae",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>bedrooms</th>\n",
+       "      <th>sqft_living</th>\n",
+       "      <th>sqft_lot</th>\n",
+       "      <th>floors</th>\n",
+       "      <th>sqft_basement</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>house_age</th>\n",
+       "      <th>sale_year</th>\n",
+       "      <th>years_since_renov</th>\n",
+       "      <th>zipcode_avg_price</th>\n",
+       "      <th>waterfront_1</th>\n",
+       "      <th>view_1</th>\n",
+       "      <th>view_2</th>\n",
+       "      <th>view_3</th>\n",
+       "      <th>view_4</th>\n",
+       "      <th>condition_2</th>\n",
+       "      <th>condition_3</th>\n",
+       "      <th>condition_4</th>\n",
+       "      <th>condition_5</th>\n",
+       "      <th>grade_4</th>\n",
+       "      <th>grade_5</th>\n",
+       "      <th>grade_6</th>\n",
+       "      <th>grade_7</th>\n",
+       "      <th>grade_8</th>\n",
+       "      <th>grade_9</th>\n",
+       "      <th>grade_10</th>\n",
+       "      <th>grade_11</th>\n",
+       "      <th>grade_12</th>\n",
+       "      <th>grade_13</th>\n",
+       "      <th>was_renovated_1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.5112</td>\n",
+       "      <td>-122.257</td>\n",
+       "      <td>70</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>310612.755725</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2570</td>\n",
+       "      <td>7242</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>400</td>\n",
+       "      <td>47.7210</td>\n",
+       "      <td>-122.319</td>\n",
+       "      <td>74</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>469928.767726</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>770</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.7379</td>\n",
+       "      <td>-122.233</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>462488.869258</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>5000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>910</td>\n",
+       "      <td>47.5208</td>\n",
+       "      <td>-122.393</td>\n",
+       "      <td>60</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>551768.520913</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1680</td>\n",
+       "      <td>8080</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.6168</td>\n",
+       "      <td>-122.045</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>685675.843537</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   bedrooms  sqft_living  sqft_lot  floors  sqft_basement      lat     long  \\\n",
+       "0         3         1180      5650     1.0              0  47.5112 -122.257   \n",
+       "1         3         2570      7242     2.0            400  47.7210 -122.319   \n",
+       "2         2          770     10000     1.0              0  47.7379 -122.233   \n",
+       "3         4         1960      5000     1.0            910  47.5208 -122.393   \n",
+       "4         3         1680      8080     1.0              0  47.6168 -122.045   \n",
+       "\n",
+       "   house_age  sale_year  years_since_renov  zipcode_avg_price  waterfront_1  \\\n",
+       "0         70       2014                  0      310612.755725         False   \n",
+       "1         74       2014               1991      469928.767726         False   \n",
+       "2         92       2015                  0      462488.869258         False   \n",
+       "3         60       2014                  0      551768.520913         False   \n",
+       "4         38       2015                  0      685675.843537         False   \n",
+       "\n",
+       "   view_1  view_2  view_3  view_4  condition_2  condition_3  condition_4  \\\n",
+       "0   False   False   False   False        False         True        False   \n",
+       "1   False   False   False   False        False         True        False   \n",
+       "2   False   False   False   False        False         True        False   \n",
+       "3   False   False   False   False        False        False        False   \n",
+       "4   False   False   False   False        False         True        False   \n",
+       "\n",
+       "   condition_5  grade_4  grade_5  grade_6  grade_7  grade_8  grade_9  \\\n",
+       "0        False    False    False    False     True    False    False   \n",
+       "1        False    False    False    False     True    False    False   \n",
+       "2        False    False    False     True    False    False    False   \n",
+       "3         True    False    False    False     True    False    False   \n",
+       "4        False    False    False    False    False     True    False   \n",
+       "\n",
+       "   grade_10  grade_11  grade_12  grade_13  was_renovated_1  \n",
+       "0     False     False     False     False            False  \n",
+       "1     False     False     False     False             True  \n",
+       "2     False     False     False     False            False  \n",
+       "3     False     False     False     False            False  \n",
+       "4     False     False     False     False            False  "
+      ]
+     },
+     "execution_count": 63,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# One-Hot Encoding (Non-ordinal categories)\n",
+    "\n",
+    "# One-hot encode categorical columns\n",
+    "X_encoded = pd.get_dummies(X, columns=categorical_cols, drop_first=True)\n",
+    "\n",
+    "X_encoded.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d4f3405",
+   "metadata": {},
+   "source": [
+    "### 4.3 Train-Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "id": "ff3bb42d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train-test split\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "# Basic Train Test split\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding:\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X_encoded, y, test_size=0.2)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding and y log transformed\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X_encoded, y_log, test_size=0.2, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "982a9132",
+   "metadata": {},
+   "source": [
+    "### 4.4 Standardization StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 65,
+   "id": "12fc8ea2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# --- NEW CELL: Scaling ---\n",
+    "numerical_cols  # Add your numericals\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "X_train[numerical_cols] = scaler.fit_transform(X_train[numerical_cols])\n",
+    "X_test[numerical_cols] = scaler.transform(X_test[numerical_cols])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "484041b3",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7f9bd68",
+   "metadata": {},
+   "source": [
+    "## 5. Different Model comparation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 66,
+   "id": "10946a1b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Linear Regression trained\n",
+      "Ridge Regression trained\n",
+      "Random Forest trained\n",
+      "Gradient Boosting trained\n",
+      "\n",
+      "=== Final Performance (Sorted by Test RMSE) ===\n",
+      "Random Forest:\n",
+      "  R²  -> Train: 0.984 | Test: 0.889\n",
+      "  RMSE -> Train: $51,832.10 | Test: $129,695.94\n",
+      "\n",
+      "Gradient Boosting:\n",
+      "  R²  -> Train: 0.889 | Test: 0.877\n",
+      "  RMSE -> Train: $125,170.92 | Test: $138,465.08\n",
+      "\n",
+      "Linear Regression:\n",
+      "  R²  -> Train: 0.850 | Test: 0.846\n",
+      "  RMSE -> Train: $195,155.47 | Test: $168,231.90\n",
+      "\n",
+      "Ridge Regression:\n",
+      "  R²  -> Train: 0.850 | Test: 0.846\n",
+      "  RMSE -> Train: $194,491.61 | Test: $168,379.52\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "models = {\n",
+    "    \"Linear Regression\": LinearRegression(),\n",
+    "    \"Ridge Regression\": Ridge(alpha=1.0),\n",
+    "    \"Random Forest\": RandomForestRegressor(n_estimators=100, random_state=42),\n",
+    "    \"Gradient Boosting\": GradientBoostingRegressor(n_estimators=100, random_state=42)\n",
+    "}\n",
+    "\n",
+    "results = {}\n",
+    "for name, model in models.items():\n",
+    "    # Train\n",
+    "    model.fit(X_train, y_train)\n",
+    "    print(f\"{name} trained\")\n",
+    "    \n",
+    "    # Predictions\n",
+    "    y_pred_train = model.predict(X_train)\n",
+    "    y_pred_test = model.predict(X_test)\n",
+    "\n",
+    "    # If you log-transformed 'price', reverse it for RMSE in original dollars:\n",
+    "    y_pred_train = np.expm1(y_pred_train)  # Uncomment if you used log(price)\n",
+    "    y_pred_test = np.expm1(y_pred_test)  # Uncomment if you used log(price)\n",
+    "\n",
+    "\n",
+    "    y_train_original = np.expm1(y_train)\n",
+    "    y_test_original = np.expm1(y_test)\n",
+    "    \n",
+    "    # Calculate scores\n",
+    "    train_score = model.score(X_train, y_train)  # R² score (training)\n",
+    "    test_score = model.score(X_test, y_test)     # R² score (test)\n",
+    "    train_rmse = root_mean_squared_error(y_train_original, y_pred_train)\n",
+    "\n",
+    "    # test_rmse = root_mean_squared_error(y_test, y_pred_test)    # Or y_test_original if reversed\n",
+    "    test_rmse = root_mean_squared_error(y_test_original, y_pred_test)    # Or y_test_original if reversed\n",
+    "    \n",
+    "    results[name] = {\n",
+    "        \"Train R²\": train_score,\n",
+    "        \"Test R²\": test_score,\n",
+    "        \"Train RMSE\": train_rmse,\n",
+    "        \"Test RMSE\": test_rmse\n",
+    "    }\n",
+    "    # print(f\"{name} - Train R²: {train_score:.3f} | Test R²: {test_score:.3f}\")\n",
+    "    # print(f\"          Train RMSE: ${train_rmse:,.2f} | Test RMSE: ${test_rmse:,.2f}\\n\")\n",
+    "\n",
+    "# Show results sorted by best Test RMSE\n",
+    "print(\"\\n=== Final Performance (Sorted by Test RMSE) ===\")\n",
+    "for name, metrics in sorted(results.items(), key=lambda x: x[1][\"Test RMSE\"]):\n",
+    "    print(f\"{name}:\")\n",
+    "    print(f\"  R²  -> Train: {metrics['Train R²']:.3f} | Test: {metrics['Test R²']:.3f}\")\n",
+    "    print(f\"  RMSE -> Train: ${metrics['Train RMSE']:,.2f} | Test: ${metrics['Test RMSE']:,.2f}\\n\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "383bd7a5",
+   "metadata": {},
+   "source": [
+    "-------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5912e10d",
+   "metadata": {},
+   "source": [
+    "------\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "18b30db2",
+   "metadata": {},
+   "source": [
+    "-----\n",
+    "\n",
+    "# FINAL Model"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "03f8ff39",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1f34be7e",
+   "metadata": {},
+   "source": [
+    "# 5.3 Final Model selected: - Random Forest\n",
+    "\n",
+    "With:\n",
+    "- Encoding \n",
+    "- scaling\n",
+    "- log transform\n",
+    "\n",
+    "## Final Model Selection  \n",
+    "After testing 4 model types and hyperparameter tuning, the best performer was:  \n",
+    "\n",
+    "**RandomForestRegressor**  \n",
+    "- **Test R²**: 0.889\n",
+    "- **Test RMSE**: \\$129,695.94\n",
+    "\n",
+    "**Hyperparameter Tuning with GridSearchCV**\n",
+    "- **Test R²**: 0.891\n",
+    "- **Test RMSE**: \\$150,645.46\n",
+    "\n",
+    "\n",
+    "\n",
+    "- **Key Features**:  \n",
+    "  - `zipcode_avg_price` (45% importance)  \n",
+    "  - `sqft_living` (34% importance)  \n",
+    "  - Location (`lat`/`long`)  \n",
+    "\n",
+    "**Why This Model?**  \n",
+    "- Handles non-linear relationships better than linear models  \n",
+    "- Resistant to outliers  \n",
+    "- Requires minimal feature scaling  \n",
+    "\n",
+    "\n",
+    "----\n",
+    "\n",
+    "**Feature Selection: correlation and Zipcode, / created: Years Since Renovation:**\n",
+    "\n",
+    "=== Final Performance   ===\n",
+    "\n",
+    "RandomForestRegressor - Train R²: 0.984 | Test R²: 0.889\n",
+    "          Train RMSE: $51,832.10 | Test RMSE: $129,695.94\n",
+    "\n",
+    "=== Hyperparameter Tunning with GridSearchCV   ===\n",
+    "\n",
+    "RandomForestRegressor - Train R²: 0.985 | Test R²: 0.891\n",
+    "          Train RMSE: $58,441.73 | Test RMSE: $150,645.46\n",
+    "          \n",
+    "Best parameters: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 1000}\n",
+    "Best R²: 0.889\n",
+    "\n",
+    "----"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d0dea519",
+   "metadata": {},
+   "source": [
+    "## 4. Data Preparation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "04c6e27c",
+   "metadata": {},
+   "source": [
+    "### 4.0 Data separation (Features / Target)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "id": "96dd5ac4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "X shape: (21597, 16)\n",
+      "y shape: (21597,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Separate features (X) and target (y)\n",
+    "X = df.drop(columns=['price'])  # Features (all columns except target)\n",
+    "y = df['price']                 # Target\n",
+    "\n",
+    "# Verify shapes\n",
+    "print(\"X shape:\", X.shape)  # Should be (21597, 20) for your dataset\n",
+    "print(\"y shape:\", y.shape)  # Should be (21597,)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b0b1b300",
+   "metadata": {},
+   "source": [
+    "### 4.1 Target Outliers treatment / Log Transformation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "id": "62ba7f5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Apply log transformation to target (price)\n",
+    "y_log = np.log1p(y)  # log(1+y) to handle zero values\n",
+    "\n",
+    "# Now use y_log for modeling instead of original y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "id": "7d443d91",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(1, 2, figsize=(10, 5))  # ~2:1 ratio\n",
+    "\n",
+    "# Original distribution\n",
+    "sns.histplot(df['price'], kde=True, bins=50, color=\"skyblue\", ax=axes[0])\n",
+    "axes[0].set_title('House Prices (Original Scale)', fontsize=12)\n",
+    "axes[0].set_xlabel('Price ($)', fontsize=11)\n",
+    "axes[0].set_ylabel('Count', fontsize=11)\n",
+    "\n",
+    "# Log-transformed distribution\n",
+    "sns.histplot(y_log, kde=True, bins=50, color=\"skyblue\", ax=axes[1])\n",
+    "axes[1].set_title('House Prices (Log-Transformed)', fontsize=12)\n",
+    "axes[1].set_xlabel('log(1 + Price)', fontsize=11)\n",
+    "axes[1].set_ylabel('Count', fontsize=11)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "id": "1b01a74c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Original scale (1:1)\n",
+    "plt.figure(figsize=(6, 6))  # Square plot\n",
+    "sns.histplot(df['price'], kde=True, bins=50, color=\"skyblue\")\n",
+    "plt.title('House Prices (Original Scale)', fontsize=14)\n",
+    "plt.xlabel('Price ($)', fontsize=12)\n",
+    "plt.ylabel('Count', fontsize=12)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n",
+    "\n",
+    "# Log-transformed scale (1:1)\n",
+    "plt.figure(figsize=(6, 6))  # Square plot\n",
+    "sns.histplot(y_log, kde=True, bins=50, color=\"skyblue\")\n",
+    "plt.title('House Prices (Log-Transformed)', fontsize=14)\n",
+    "plt.xlabel('log(1 + Price)', fontsize=12)\n",
+    "plt.ylabel('Count', fontsize=12)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d56e929c",
+   "metadata": {},
+   "source": [
+    "### 4.2 One Hot Encoding: Encode Categorical Variables"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "id": "4d32049b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>bedrooms</th>\n",
+       "      <th>sqft_living</th>\n",
+       "      <th>sqft_lot</th>\n",
+       "      <th>floors</th>\n",
+       "      <th>sqft_basement</th>\n",
+       "      <th>lat</th>\n",
+       "      <th>long</th>\n",
+       "      <th>house_age</th>\n",
+       "      <th>sale_year</th>\n",
+       "      <th>years_since_renov</th>\n",
+       "      <th>zipcode_avg_price</th>\n",
+       "      <th>waterfront_1</th>\n",
+       "      <th>view_1</th>\n",
+       "      <th>view_2</th>\n",
+       "      <th>view_3</th>\n",
+       "      <th>view_4</th>\n",
+       "      <th>condition_2</th>\n",
+       "      <th>condition_3</th>\n",
+       "      <th>condition_4</th>\n",
+       "      <th>condition_5</th>\n",
+       "      <th>grade_4</th>\n",
+       "      <th>grade_5</th>\n",
+       "      <th>grade_6</th>\n",
+       "      <th>grade_7</th>\n",
+       "      <th>grade_8</th>\n",
+       "      <th>grade_9</th>\n",
+       "      <th>grade_10</th>\n",
+       "      <th>grade_11</th>\n",
+       "      <th>grade_12</th>\n",
+       "      <th>grade_13</th>\n",
+       "      <th>was_renovated_1</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1180</td>\n",
+       "      <td>5650</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.5112</td>\n",
+       "      <td>-122.257</td>\n",
+       "      <td>70</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>310612.755725</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2570</td>\n",
+       "      <td>7242</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>400</td>\n",
+       "      <td>47.7210</td>\n",
+       "      <td>-122.319</td>\n",
+       "      <td>74</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>1991</td>\n",
+       "      <td>469928.767726</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>770</td>\n",
+       "      <td>10000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.7379</td>\n",
+       "      <td>-122.233</td>\n",
+       "      <td>92</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>462488.869258</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>1960</td>\n",
+       "      <td>5000</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>910</td>\n",
+       "      <td>47.5208</td>\n",
+       "      <td>-122.393</td>\n",
+       "      <td>60</td>\n",
+       "      <td>2014</td>\n",
+       "      <td>0</td>\n",
+       "      <td>551768.520913</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3</td>\n",
+       "      <td>1680</td>\n",
+       "      <td>8080</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>47.6168</td>\n",
+       "      <td>-122.045</td>\n",
+       "      <td>38</td>\n",
+       "      <td>2015</td>\n",
+       "      <td>0</td>\n",
+       "      <td>685675.843537</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   bedrooms  sqft_living  sqft_lot  floors  sqft_basement      lat     long  \\\n",
+       "0         3         1180      5650     1.0              0  47.5112 -122.257   \n",
+       "1         3         2570      7242     2.0            400  47.7210 -122.319   \n",
+       "2         2          770     10000     1.0              0  47.7379 -122.233   \n",
+       "3         4         1960      5000     1.0            910  47.5208 -122.393   \n",
+       "4         3         1680      8080     1.0              0  47.6168 -122.045   \n",
+       "\n",
+       "   house_age  sale_year  years_since_renov  zipcode_avg_price  waterfront_1  \\\n",
+       "0         70       2014                  0      310612.755725         False   \n",
+       "1         74       2014               1991      469928.767726         False   \n",
+       "2         92       2015                  0      462488.869258         False   \n",
+       "3         60       2014                  0      551768.520913         False   \n",
+       "4         38       2015                  0      685675.843537         False   \n",
+       "\n",
+       "   view_1  view_2  view_3  view_4  condition_2  condition_3  condition_4  \\\n",
+       "0   False   False   False   False        False         True        False   \n",
+       "1   False   False   False   False        False         True        False   \n",
+       "2   False   False   False   False        False         True        False   \n",
+       "3   False   False   False   False        False        False        False   \n",
+       "4   False   False   False   False        False         True        False   \n",
+       "\n",
+       "   condition_5  grade_4  grade_5  grade_6  grade_7  grade_8  grade_9  \\\n",
+       "0        False    False    False    False     True    False    False   \n",
+       "1        False    False    False    False     True    False    False   \n",
+       "2        False    False    False     True    False    False    False   \n",
+       "3         True    False    False    False     True    False    False   \n",
+       "4        False    False    False    False    False     True    False   \n",
+       "\n",
+       "   grade_10  grade_11  grade_12  grade_13  was_renovated_1  \n",
+       "0     False     False     False     False            False  \n",
+       "1     False     False     False     False             True  \n",
+       "2     False     False     False     False            False  \n",
+       "3     False     False     False     False            False  \n",
+       "4     False     False     False     False            False  "
+      ]
+     },
+     "execution_count": 175,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# One-Hot Encoding (Non-ordinal categories)\n",
+    "\n",
+    "# One-hot encode categorical columns\n",
+    "X_encoded = pd.get_dummies(X, columns=categorical_cols, drop_first=True)\n",
+    "\n",
+    "X_encoded.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "20fc4371",
+   "metadata": {},
+   "source": [
+    "### 4.3 Train-Test Split"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "id": "08f3472c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Train-test split\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "\n",
+    "# Basic Train Test split\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding:\n",
+    "# X_train, X_test, y_train, y_test = train_test_split(X_encoded, y, test_size=0.2)\n",
+    "\n",
+    "# Train Test split with 1 Hot Encoding and y log transformed\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X_encoded, y_log, test_size=0.2, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "743786fe",
+   "metadata": {},
+   "source": [
+    "### 4.4 Standardization StandardScaler"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "id": "68aacdd0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "# --- NEW CELL: Scaling ---\n",
+    "numerical_cols  # Add your numericals\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "X_train[numerical_cols] = scaler.fit_transform(X_train[numerical_cols])\n",
+    "X_test[numerical_cols] = scaler.transform(X_test[numerical_cols])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "466eee5f",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5a46c24",
+   "metadata": {},
+   "source": [
+    "## 5. Final Model train / predict"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "id": "8de51342",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "RandomForestRegressor trained\n",
+      "RandomForestRegressor - Train R²: 0.984 | Test R²: 0.889\n",
+      "          Train RMSE: $51,832.10 | Test RMSE: $129,695.94\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "\n",
+    "forest = RandomForestRegressor(n_estimators=100, # same 10 trees\n",
+    "                              #  max_depth=3, # depth 3 to force tree to be \"weak\"\n",
+    "                               random_state=42) # fixing rand because I'm insecure and afraid you will judge me if I get a bad random selection that does not prove my point\n",
+    "\n",
+    "# Train\n",
+    "forest.fit(X_train, y_train)\n",
+    "print(f\"RandomForestRegressor trained\")\n",
+    "\n",
+    "\n",
+    "forest.score(X_test,y_test)\n",
+    "\n",
+    "# Predictions\n",
+    "y_pred_train = forest.predict(X_train)\n",
+    "y_pred_test = forest.predict(X_test)\n",
+    "\n",
+    "\n",
+    "# If you log-transformed 'price', reverse it for RMSE in original dollars:\n",
+    "y_pred_train = np.expm1(y_pred_train)  # Uncomment if you used log(price)\n",
+    "y_pred_test = np.expm1(y_pred_test)  # Uncomment if you used log(price)\n",
+    "\n",
+    "\n",
+    "y_train_original = np.expm1(y_train)\n",
+    "y_test_original = np.expm1(y_test)\n",
+    "\n",
+    "# Calculate scores\n",
+    "train_score = forest.score(X_train, y_train)  # R² score (training)\n",
+    "test_score = forest.score(X_test, y_test)     # R² score (test)\n",
+    "train_rmse = root_mean_squared_error(y_train_original, y_pred_train)\n",
+    "\n",
+    "# test_rmse = root_mean_squared_error(y_test, y_pred_test)    # Or y_test_original if reversed\n",
+    "test_rmse = root_mean_squared_error(y_test_original, y_pred_test)    # Or y_test_original if reversed\n",
+    "\n",
+    "\n",
+    "print(f\"RandomForestRegressor - Train R²: {train_score:.3f} | Test R²: {test_score:.3f}\")\n",
+    "print(f\"          Train RMSE: ${train_rmse:,.2f} | Test RMSE: ${test_rmse:,.2f}\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "id": "07c2bc8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Top 10 Important Features:\n",
+      "          Feature  Importance\n",
+      "zipcode_avg_price    0.453343\n",
+      "      sqft_living    0.345092\n",
+      "              lat    0.050485\n",
+      "             long    0.038114\n",
+      "         sqft_lot    0.024741\n",
+      "        house_age    0.018789\n",
+      "     waterfront_1    0.009495\n",
+      "    sqft_basement    0.007942\n",
+      "           view_4    0.007348\n",
+      "          grade_7    0.007266\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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3NrqEW8IMKQAAAADAEARSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiCQAoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxRZII2Pj5eHh0dRDXfLYmJi1LBhQ6PLuCuEh4dr6NChRpcBAAAAAPmyK6qBHnvsMXXq1KmohkMR+Pjjj1WmTBmjywAAAACAfBVZIHV0dJSjo2NRDYfbkJWVpTJlysjT09PoUgAAAADgugq1ZDc5OVkmkynPFh4enmfJ7rWls/PmzZOfn5+cnJz06KOP6tKlS1Zjvv/++6pXr57s7e3l6+urgQMHWvalpKSoa9eucnFxkZubm3r27KkzZ85YHT958mR5e3vL1dVVTz31lP788888dS9YsECBgYFycHBQnTp1NHv27AJf86hRo1SrVi05OTmpevXqGjNmjLKysiRJR44ckclk0g8//GB1zBtvvKGAgACZzWZJ0po1a1SzZk05OjqqTZs2WrhwoUwmU57vIj/XvtfVq1erVq1acnBwUPv27XXq1ClLn2vf9fvvv6/q1avL3t5eZrM5z5LdzMxMjRw5Un5+frK3t1fNmjX13nvvWfYfPnxYnTp1kouLi7y9vfXEE0/o/PnzBf6uAAAAAKAwChVI/fz8lJqaatkOHDggLy8vtW7dOt/+P/74o1asWKFPP/1U69atU2Jiol544QXL/jlz5uiFF17QM888o4MHD2rNmjWqUaOGJMlsNqtbt266cOGCNm/erA0bNuj48eN67LHHLMevWLFCY8eO1YQJE7R37175+vrmCZvz58/X6NGjNWHCBCUlJWnixIkaM2aMFi5cWKBrdnV1VXx8vA4fPqwZM2Zo/vz5evPNNyVJtWvXVpMmTbR48WKrY5YsWaI+ffrIZDIpOTlZjzzyiLp166bExEQ9++yzGj16dIHOfc3vv/+uCRMmaOHChdq2bZvS09PVq1cvqz7XvutVq1YpMTEx33H69eunZcuW6a233lJSUpLmzp0rFxcXSVJqaqrCwsLUsGFD7d27V+vWrdOZM2fUs2fP69aVmZmp9PR0qw0AAAAACspkvjaNV0h//vmnwsPDVaFCBf3vf//TBx98oKFDh1pm/WJiYjR+/HglJyerSpUqkqR169apc+fO+uWXX+Tj46PKlSvrySef1Pjx4/OMv2HDBnXs2FEnT56Un5+fpKszePXq1dPu3bvVrFkztWzZUg0aNNCcOXMsx9177736888/LaGsatWqmjJlinr37m3pM378eK1du1bbt28v9HVPnTpVy5cv1969eyVJb775pmbNmqXjx49Lko4eParatWvr0KFDqlu3rl5++WV9/vnnOnjwoGWMV155RRMmTNDFixdv+iKo+Ph4Pfnkk9q5c6datGghSfrhhx8UGBioXbt2qXnz5oqJidHEiRP1yy+/qEKFCpZjw8PD1bBhQ02fPt1S14YNG9SuXbs853n11Ve1a9curV+/3tL2888/y8/PT0eOHFGtWrXyHBMTE6PY2Ng87X5DV8jG3umG1wUAAACg6CRP7mx0CVbS09Pl7u6utLQ0ubm5XbffLb9l96mnnlJGRoaWLFkiG5v8h6lataoljEpSSEiIcnNzdeTIEZ09e1anT59W27Zt8z02KSlJfn5+ljAqSXXr1pWHh4eSkpIsfUJCQqyO+/vnc+fO6dSpU3rqqafk4uJi2caPH28JkDezcuVK3XffffLx8ZGLi4vGjBmjlJQUy/5evXrpp59+0s6dOyVJixcvVsOGDVW3bl1JV5f1NmvWzGrM5s2bF+jc19jZ2alp06aWz3Xq1LH6HiTJ39/fKoz+U2JiomxtbRUWFpbv/n379mnTpk1W31OdOnUk6brfVXR0tNLS0izb35cRAwAAAMDN3NJLjcaPH69169Zp9+7dcnV1LfBxJpPJ8r83ewGS2Wy29C9Ie35yc3MlXV22e2128RpbW9ubHr9z50716tVLsbGxioiIkLu7u5YtW6a4uDhLH19fX7Vp00ZLlizRvffeq6VLl+rZZ5+9Yb23Mimd3zX/vc3Z2fmGx9/s+87NzVWXLl00ZcqUPPt8fX3zPcbe3l729vY3HBcAAAAArqfQM6SrVq3SuHHjtGLFCt1zzz037JuSkqLTp09bPu/YsUM2NjaqVauWXF1dFRAQoI0bN+Z7bN26dZWSkmI163b48GGlpaUpMDBQkhQYGGiZmbzm75+9vb1VuXJlnThxQjVq1LDaqlWrdtNr3bZtm/z9/TV69Gg1bdpUNWvW1E8//ZSnX9++fbV8+XLt2LFDx48ft3q+s06dOtqzZ49V/2vLfQsqOzvb6pgjR47o0qVLlhnMgggODlZubq42b96c7/7GjRvr0KFDCggIyPNd3SzsAgAAAMCtKFQg/f7779WvXz+NGjVK9erV06+//qpff/1VFy5cyLe/g4ODIiMj9e2332rLli0aPHiwevbsKR8fH0lXn0GMi4vTW2+9pWPHjmn//v2aOXOmJKldu3aqX7+++vbtq/3792v37t3q16+fwsLCLMtXhwwZovfff1/vv/++jh49qrFjx+rQoUNWNcTExGjSpEmaMWOGjh49qoMHD2rBggV64403bnq9NWrUUEpKipYtW6bjx4/rrbfe0ieffJKnX48ePZSenq7nn39ebdq0UeXKlS37nn32Wf3www8aNWqUjh49qhUrVig+Pl5S/rOe+SlTpowGDRqkXbt2af/+/XryySd17733Fmrpb0BAgCIjI9W/f3+tXr1aJ0+eVEJCglasWCFJeuGFF3ThwgX17t1bu3fv1okTJ/Tll1+qf//+ysnJKfB5AAAAAKCgChVI9+7dq99//13jx4+Xr6+vZevRo0e+/WvUqKEePXqoU6dO6tChg4KCgqzeghsZGanp06dr9uzZqlevnh588EEdO3ZM0tWwtnr1apUrV06tW7dWu3btVL16dS1fvtxy/GOPPaZXX31Vo0aNUpMmTfTTTz/p+eeft6rh6aef1rvvvqv4+HgFBwcrLCxM8fHxBZoh7dq1q1588UUNHDhQDRs21Pbt2zVmzJg8/dzc3NSlSxd9++236tu3r9W+atWqaeXKlfr4449Vv359zZkzx/KW3YIud3VyctKoUaPUp08fhYSEyNHRUcuWLSvQsX83Z84cPfLII/rPf/6jOnXqaMCAAbpy5YokqVKlStq2bZtycnIUERGhoKAgDRkyRO7u7td9RhgAAAAAbsctv2X3ZmJiYrR69err/gRJaTZhwgTNnTu3QC8Bio+Pt3p78d3s2pu0eMsuAAAAcGf9W9+ye0svNULhzJ49W82aNZOXl5e2bdumqVOnauDAgUaXBQAAAACGKtVrMSdOnGj1Myd/3zp27Fhk5zl27Ji6du2qunXr6rXXXtPw4cMVExMjSerYseN1a5g4cWKR1QAAAAAAd5tiW7L7b3DhwoXrvpDJ0dHR6uVExeWXX37RH3/8ke8+T09PeXp6FnsNRYUluwAAAIAxWLL7L3Q3BL47EXoBAAAA4G5UqpfsAgAAAACMQyAFAAAAABiCQAoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCFK9c++oHh8Hxtxw98aAgAAAACJGVIAAAAAgEEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBB2RheAkido7HrZ2DsZXQYAAEChJE/ubHQJQKnDDCkAAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAgCKQAAAADAEARSAAAAAIAhCKQAAAAAAEMQSIuY2WzWM888I09PT5lMJiUmJhZ6jJiYGDVs2NDyOSoqSt26dbvl4wEAAADgbkQgLWLr1q1TfHy8PvvsM6WmpiooKEgmk0mrV6++5TFnzJih+Pj4AvcfMWKENm7ceMvnAwAAAIA7wc7oAkqa48ePy9fXVy1btiyyMd3d3QvV38XFRS4uLkV2fgAAAAAoDsyQ5mPlypUKDg6Wo6OjvLy81K5dO125ckU5OTkaNmyYPDw85OXlpZEjRyoyMtKynDYqKkqDBg1SSkqKTCaTAgICFBAQIEnq3r27pa2w/r5kd968eapcubJyc3Ot+jz00EOKjIyUdP0lv9OmTZOvr6+8vLz0wgsvKCsry9InNTVVnTt3lqOjo6pVq6YlS5YoICBA06dPL3S9AAAAAFAQBNJ/SE1NVe/evdW/f38lJSUpISFBPXr0kNlsVlxcnN5//32999572rp1qy5cuKBPPvnEcuyMGTM0btw4ValSRampqdqzZ4/27NkjSVqwYIGl7XY8+uijOn/+vDZt2mRpu3jxotavX6++ffte97hNmzbp+PHj2rRpkxYuXKj4+HirZcD9+vXT6dOnlZCQoFWrVumdd97R2bNnb1hLZmam0tPTrTYAAAAAKCiW7P5DamqqsrOz1aNHD/n7+0uSgoODJUnTp09XdHS0Hn74YUnS3LlztX79esux7u7ucnV1la2trXx8fKzG9fDwyNN2Kzw9PfXAAw9oyZIlatu2rSTpo48+kqenp+VzfsqVK6dZs2bJ1tZWderUUefOnbVx40YNGDBAP/zwg7766ivt2bNHTZs2lSS9++67qlmz5g1rmTRpkmJjY2/7mgAAAACUTsyQ/kODBg3Utm1bBQcH69FHH9X8+fN18eJFpaWlKTU1VSEhIZa+dnZ2lgB3J/Xt21erVq1SZmamJGnx4sXq1auXbG1tr3tMvXr1rPb7+vpaZkCPHDkiOzs7NW7c2LK/Ro0aKleu3A3riI6OVlpammU7derU7VwWAAAAgFKGQPoPtra22rBhg7744gvVrVtXM2fOVO3atZWcnGx0aRZdunRRbm6uPv/8c506dUpbtmzR448/fsNjypQpY/XZZDJZnkM1m835HnO99mvs7e3l5uZmtQEAAABAQRFI82EymRQaGqrY2FgdOHBAZcuW1caNG+Xr66udO3da+mVnZ2vfvn03Ha9MmTLKyckpsvocHR3Vo0cPLV68WEuXLlWtWrXUpEmTWx6vTp06ys7O1oEDByxtP/74oy5dulQE1QIAAABA/niG9B927dqljRs3qkOHDqpYsaJ27dqlc+fOKTAwUEOGDNHkyZNVs2ZNBQYG6o033ihQaAsICNDGjRsVGhoqe3v7my6FLYi+ffuqS5cuOnTo0E1nR2+mTp06ateunZ555hnNmTNHZcqU0fDhw+Xo6CiTyXTbtQIAAABAfpgh/Qc3Nzd988036tSpk2rVqqVXXnlFcXFx6tixo4YPH65+/fopKipKISEhcnV1Vffu3W86ZlxcnDZs2CA/Pz81atSoSOq8//775enpqSNHjqhPnz63Pd4HH3wgb29vtW7dWt27d9eAAQPk6uoqBweHIqgWAAAAAPIymW/2oCBuKCoqSpcuXdLq1auNLqVI/fzzz/Lz89NXX311w7f3/l16errc3d3lN3SFbOydirlCAACAopU8ubPRJQAlxrVskJaWdsN3zbBkF5Kkr7/+WpcvX1ZwcLBSU1M1cuRIBQQEqHXr1kaXBgAAAKCEYsmuAerVqycXF5d8t8WLFxtSU1ZWlv773/+qXr166t69uypUqKCEhIQ8b+cFAAAAgKLCkl0D/PTTT8rKysp3n7e3t1xdXe9wRUWDJbsAAODfjCW7QNFhye5dzN/f3+gSAAAAAMBwLNkFAAAAABiCQAoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQ/CzLyhy38dG3PC3hgAAAABAYoYUAAAAAGAQAikAAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgBQAAAAAYgt8hRZELGrteNvZORpfxr5Y8ubPRJQAAAADFjhlSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiCQAoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIC0FwsPDNXToUKPLAAAAAAArBFJYSUhIkMlk0qVLl4wuBQAAAEAJRyAFAAAAABiCQFrKfPjhh2ratKlcXV3l4+OjPn366OzZs5Kk5ORktWnTRpJUrlw5mUwmRUVFGVgtAAAAgJKMQFrK/PXXX3rttdf07bffavXq1Tp58qQldPr5+WnVqlWSpCNHjig1NVUzZsy47liZmZlKT0+32gAAAACgoOyMLgB3Vv/+/S1/rl69ut566y01b95cly9flouLizw9PSVJFStWlIeHxw3HmjRpkmJjY4uzXAAAAAAlGDOkpcyBAwfUtWtX+fv7y9XVVeHh4ZKklJSUQo8VHR2ttLQ0y3bq1KkirhYAAABAScYMaSly5coVdejQQR06dNCHH36oChUqKCUlRREREfrrr78KPZ69vb3s7e2LoVIAAAAApQGBtBT54YcfdP78eU2ePFl+fn6SpL1791r1KVu2rCQpJyfnjtcHAAAAoHRhyW4pUrVqVZUtW1YzZ87UiRMntGbNGr322mtWffz9/WUymfTZZ5/p3Llzunz5skHVAgAAACjpCKSlSIUKFRQfH6+PPvpIdevW1eTJkzVt2jSrPpUrV1ZsbKxefvlleXt7a+DAgQZVCwAAAKCkM5nNZrPRRaBkSE9Pl7u7u/yGrpCNvZPR5fyrJU/ubHQJAAAAwC27lg3S0tLk5uZ23X7MkAIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAgCKQAAAADAEARSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABjCzugCUPJ8HxshNzc3o8sAAAAAcJdjhhQAAAAAYAgCKQAAAADAEARSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiC3yFFkQsau1429k5Gl3FHJU/ubHQJAAAAwL8OM6QAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiCQAoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJA+i8UHh6uoUOHGl0GAAAAANwWAikAAAAAwBAEUgAAAACAIQik/3IXL15Uv379VK5cOTk5Oaljx446duyYZX98fLw8PDy0fv16BQYGysXFRQ888IBSU1MtfbKzszV48GB5eHjIy8tLo0aNUmRkpLp163bDc2dmZio9Pd1qAwAAAICCIpD+y0VFRWnv3r1as2aNduzYIbPZrE6dOikrK8vS5/fff9e0adO0aNEiffPNN0pJSdGIESMs+6dMmaLFixdrwYIF2rZtm9LT07V69eqbnnvSpElyd3e3bH5+fsVxiQAAAABKKALpv9ixY8e0Zs0avfvuu2rVqpUaNGigxYsX65dffrEKlFlZWZo7d66aNm2qxo0ba+DAgdq4caNl/8yZMxUdHa3u3burTp06mjVrljw8PG56/ujoaKWlpVm2U6dOFcNVAgAAACip7IwuALcuKSlJdnZ2atGihaXNy8tLtWvXVlJSkqXNyclJ99xzj+Wzr6+vzp49K0lKS0vTmTNn1Lx5c8t+W1tbNWnSRLm5uTc8v729vezt7YvqcgAAAACUMsyQ/ouZzebrtptMJsvnMmXKWO03mUx5jv17/xuNDQAAAABFhUD6L1a3bl1lZ2dr165dlrbffvtNR48eVWBgYIHGcHd3l7e3t3bv3m1py8nJ0YEDB4q8XgAAAAD4O5bs/ovVrFlTXbt21YABAzRv3jy5urrq5ZdfVuXKldW1a9cCjzNo0CBNmjRJNWrUUJ06dTRz5kxdvHgxz6wpAAAAABQlZkj/5RYsWKAmTZrowQcfVEhIiMxms9auXZtnme6NjBo1Sr1791a/fv0UEhIiFxcXRUREyMHBoRgrBwAAAFDamcw8LIh/yM3NVWBgoHr27KnXXnutwMelp6df/fmXoStkY+9UjBXefZIndza6BAAAAOCucS0bpKWlyc3N7br9WLIL/fTTT/ryyy8VFhamzMxMzZo1SydPnlSfPn2MLg0AAABACcaSXcjGxkbx8fFq1qyZQkNDdfDgQX311VcFfjESAAAAANwKZkghPz8/bdu2zegyAAAAAJQyzJACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikAAAAAABD8DukKHLfx0bIzc3N6DIAAAAA3OWYIQUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIbgd0hR5ILGrpeNvZPRZeQreXJno0sAAAAA8P8xQwoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikdzmz2axnnnlGnp6eMplMSkxMLPQYMTExatiwYZHXBgAAAAC3g0B6l1u3bp3i4+P12WefKTU1VUFBQTKZTFq9enWxnTM5OfmWwy8AAAAAFJSd0QXgxo4fPy5fX1+1bNnS6FIAAAAAoEgxQ3oHrFy5UsHBwXJ0dJSXl5fatWunK1euKCcnR8OGDZOHh4e8vLw0cuRIRUZGqlu3bpKkqKgoDRo0SCkpKTKZTAoICFBAQIAkqXv37pa2wsrNzdW4ceNUpUoV2dvbq2HDhlq3bp1lf7Vq1SRJjRo1kslkUnh4eL7jZGZmKj093WoDAAAAgIIikBaz1NRU9e7dW/3791dSUpISEhLUo0cPmc1mxcXF6f3339d7772nrVu36sKFC/rkk08sx86YMcMSHFNTU7Vnzx7t2bNHkrRgwQJLW2HNmDFDcXFxmjZtmr777jtFRETooYce0rFjxyRJu3fvliR99dVXSk1N1ccff5zvOJMmTZK7u7tl8/PzK3QtAAAAAEovluwWs9TUVGVnZ6tHjx7y9/eXJAUHB0uSpk+frujoaD388MOSpLlz52r9+vWWY93d3eXq6ipbW1v5+PhYjevh4ZGnraCmTZumUaNGqVevXpKkKVOmaNOmTZo+fbrefvttVahQQZLk5eV1w3NER0dr2LBhls/p6emEUgAAAAAFRiAtZg0aNFDbtm0VHBysiIgIdejQQY888ohsbGyUmpqqkJAQS187Ozs1bdpUZrO52OpJT0/X6dOnFRoaatUeGhqqb7/9tlBj2dvby97evijLAwAAAFCKsGS3mNna2mrDhg364osvVLduXc2cOVO1a9dWcnKyoXWZTCarz2azOU8bAAAAABQnAukdYDKZFBoaqtjYWB04cEBly5bVxo0b5evrq507d1r6ZWdna9++fTcdr0yZMsrJybmlWtzc3FSpUiVt3brVqn379u0KDAyUJJUtW1aSbvkcAAAAAFAQLNktZrt27dLGjRvVoUMHVaxYUbt27dK5c+cUGBioIUOGaPLkyapZs6YCAwP1xhtv6NKlSzcdMyAgQBs3blRoaKjs7e1Vrly5QtX00ksvaezYsbrnnnvUsGFDLViwQImJiVq8eLEkqWLFinJ0dNS6detUpUoVOTg4yN3d/VYuHwAAAACui0BazNzc3PTNN99o+vTpSk9Pl7+/v+Li4tSxY0e1b99eqampioqKko2Njfr376/u3bsrLS3thmPGxcVp2LBhmj9/vipXrlzo5b+DBw9Wenq6hg8frrNnz6pu3bpas2aNatasKenqs6xvvfWWxo0bp1dffVWtWrVSQkLCLX4DAAAAAJA/k7k436CDQouKitKlS5e0evVqo0sptPT09Ks//zJ0hWzsnYwuJ1/JkzsbXQIAAABQ4l3LBmlpaXJzc7tuP54hBQAAAAAYgkBaAtSrV08uLi75bteeCwUAAACAuw3PkN5l4uPjC33M2rVrlZWVle8+b2/v26wIAAAAAIoHgbQE8Pf3N7oEAAAAACg0luwCAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBC8ZRdF7vvYCLm5uRldBgAAAIC7HDOkAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAgCKQAAAADAEARSAAAAAIAh7IwuACVP0Nj1srF3uqPnTJ7c+Y6eDwAAAMDtY4YUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAgCKQAAAADAEARSAAAAAIAhCKSSwsPDNXToUKPLAAAAAIBShUAKAAAAADAEgRQAAAAAYAgC6f+Xm5urkSNHytPTUz4+PoqJibHsS0lJUdeuXeXi4iI3Nzf17NlTZ86cseyPiopSt27drMYbOnSowsPDLZ9Xrlyp4OBgOTo6ysvLS+3atdOVK1cs+xcsWKDAwEA5ODioTp06mj17doFrHzVqlGrVqiUnJydVr15dY8aMUVZWllWf8ePHq2LFinJ1ddXTTz+tl19+WQ0bNrTqczs1AAAAAEBh2RldwN1i4cKFGjZsmHbt2qUdO3YoKipKoaGhateunbp16yZnZ2dt3rxZ2dnZ+s9//qPHHntMCQkJBRo7NTVVvXv31uuvv67u3bsrIyNDW7ZskdlsliTNnz9fY8eO1axZs9SoUSMdOHBAAwYMkLOzsyIjI286vqurq+Lj41WpUiUdPHhQAwYMkKurq0aOHClJWrx4sSZMmKDZs2crNDRUy5YtU1xcnKpVq2YZ41ZqyMzMVGZmpuVzenp6gb4PAAAAAJAkk/laKirFwsPDlZOToy1btljamjdvrvvvv19t27ZVx44ddfLkSfn5+UmSDh8+rHr16mn37t1q1qyZoqKidOnSJa1evdpy/NChQ5WYmKiEhATt379fTZo0UXJysvz9/fOcv2rVqpoyZYp69+5taRs/frzWrl2r7du3F/p6pk6dquXLl2vv3r2SpHvvvVdNmzbVrFmzLH3uu+8+Xb58WYmJibdcQ0xMjGJjY/O0+w1dIRt7p0LXfTuSJ3e+o+cDAAAAcH3p6elyd3dXWlqa3NzcrtuPJbv/X/369a0++/r66uzZs0pKSpKfn58ljEpS3bp15eHhoaSkpAKN3aBBA7Vt21bBwcF69NFHNX/+fF28eFGSdO7cOZ06dUpPPfWUXFxcLNv48eN1/PjxAo2/cuVK3XffffLx8ZGLi4vGjBmjlJQUy/4jR46oefPmVsf8/fOt1hAdHa20tDTLdurUqQLVCwAAAAASS3YtypQpY/XZZDIpNzdXZrNZJpMpT/+/t9vY2OifE81/f4bT1tZWGzZs0Pbt2/Xll19q5syZGj16tHbt2iUnp6szifPnz1eLFi2sxrC1tb1p3Tt37lSvXr0UGxuriIgIubu7W5bk/vN6/ln/Nbm5ubdUg729vezt7W9aIwAAAADkhxnSm6hbt65SUlKsZv8OHz6stLQ0BQYGSpIqVKig1NRUq+OuLYW9xmQyKTQ0VLGxsTpw4IDKli2rTz75RN7e3qpcubJOnDihGjVqWG1/f8bzerZt2yZ/f3+NHj1aTZs2Vc2aNfXTTz9Z9aldu7Z2795t1XZtOa+k264BAAAAAG4FM6Q30a5dO9WvX199+/bV9OnTLS81CgsLU9OmTSVJ999/v6ZOnaoPPvhAISEh+vDDD/X999+rUaNGkqRdu3Zp48aN6tChgypWrKhdu3bp3LlzlkAbExOjwYMHy83NTR07dlRmZqb27t2rixcvatiwYTesr0aNGkpJSdGyZcvUrFkzff755/rkk0+s+gwaNEgDBgxQ06ZN1bJlSy1fvlzfffedqlevbulzOzUAAAAAwK1ghvQmTCaTVq9erXLlyql169Zq166dqlevruXLl1v6REREaMyYMRo5cqSaNWumjIwM9evXz7Lfzc1N33zzjTp16qRatWrplVdeUVxcnDp27ChJevrpp/Xuu+8qPj5ewcHBCgsLU3x8fIFmJ7t27aoXX3xRAwcOVMOGDbV9+3aNGTPGqk/fvn0VHR2tESNGqHHjxjp58qSioqLk4OBg6XM7NQAAAADAreAtu6VU+/bt5ePjo0WLFhXZmNfepMVbdgEAAIDSraBv2WXJbinw+++/a+7cuYqIiJCtra2WLl2qr776Shs2bDC6NAAAAAClGEt273ITJ060+imWv2/XlvzejMlk0tq1a9WqVSs1adJEn376qVatWqV27doVc/UAAAAAcH3MkN7lnnvuOfXs2TPffY6OjgUaw9HRUV999VVRlgUAAAAAt41Aepfz9PSUp6en0WUAAAAAQJFjyS4AAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgBQAAAAAYgp99QZH7PjZCbm5uRpcBAAAA4C7HDCkAAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAg7owtAyRM0dr1s7J0KfVzy5M7FUA0AAACAuxUzpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgvUN+/fVXtW/fXs7OzvLw8DC6HAAAAAAwHIH0OsLDwzV06NAiG+/NN99UamqqEhMTdfTo0SIbNz8JCQkymUy6dOlSgY/55ptv1KVLF1WqVEkmk0mrV68utvoAAAAAQCKQFru//vpLknT8+HE1adJENWvWVMWKFfPtm5WVdSdLs3LlyhU1aNBAs2bNMqwGAAAAAKVLiQmkn376qTw8PJSbmytJSkxMlMlk0ksvvWTp8+yzz6p379767bff1Lt3b1WpUkVOTk4KDg7W0qVLLf2ioqK0efNmzZgxQyaTSSaTScnJyZKkw4cPq1OnTnJxcZG3t7eeeOIJnT9/3nJseHi4Bg4cqGHDhql8+fJq3769AgICtGrVKn3wwQcymUyKioqSJJlMJs2dO1ddu3aVs7Ozxo8fL0maM2eO7rnnHpUtW1a1a9fWokWLrK7VZDLp3XffVffu3eXk5KSaNWtqzZo1kqTk5GS1adNGklSuXDmr891Ix44dNX78ePXo0aNwXzwAAAAA3KISE0hbt26tjIwMHThwQJK0efNmlS9fXps3b7b0SUhIUFhYmP788081adJEn332mb7//ns988wzeuKJJ7Rr1y5J0owZMxQSEqIBAwYoNTVVqamp8vPzU2pqqsLCwtSwYUPt3btX69at05kzZ9SzZ0+rWhYuXCg7Oztt27ZN8+bN0549e/TAAw+oZ8+eSk1N1YwZMyx9x44dq65du+rgwYPq37+/PvnkEw0ZMkTDhw/X999/r2effVZPPvmkNm3aZHWO2NhY9ezZU9999506deqkvn376sKFC/Lz89OqVaskSUeOHMlzvqKUmZmp9PR0qw0AAAAACsrO6AKKiru7uxo2bKiEhAQ1adJECQkJevHFFxUbG6uMjAxduXJFR48eVXh4uCpXrqwRI0ZYjh00aJDWrVunjz76SC1atJC7u7vKli0rJycn+fj4WPrNmTNHjRs31sSJEy1t77//vvz8/HT06FHVqlVLklSjRg29/vrrVvXZ29vL0dHRajxJ6tOnj/r372/1OSoqSv/5z38kScOGDdPOnTs1bdo0y8yndHUWt3fv3pKkiRMnaubMmdq9e7ceeOABeXp6SpIqVqxYrC9QmjRpkmJjY4ttfAAAAAAlW4mZIZWuLpdNSEiQ2WzWli1b1LVrVwUFBWnr1q3atGmTvL29VadOHeXk5GjChAmqX7++vLy85OLioi+//FIpKSk3HH/fvn3atGmTXFxcLFudOnUkXX1G9JqmTZsWuOZ/9k1KSlJoaKhVW2hoqJKSkqza6tevb/mzs7OzXF1ddfbs2QKftyhER0crLS3Nsp06deqOnh8AAADAv1uJmSGVrgbS9957T99++61sbGxUt25dhYWFafPmzbp48aLCwsIkSXFxcXrzzTc1ffp0BQcHy9nZWUOHDrW8gOh6cnNz1aVLF02ZMiXPPl9fX8ufnZ2dC1xzfn1NJpPVZ7PZnKetTJkyeY659vzsnWJvby97e/s7ek4AAAAAJUeJmiG99hzp9OnTFRYWJpPJpLCwMCUkJFieH5VkmT19/PHH1aBBA1WvXl3Hjh2zGqts2bLKycmxamvcuLEOHTqkgIAA1ahRw2orTAi9kcDAQG3dutWqbfv27QoMDCzwGGXLlpWkPPUDAAAAwN2kRAXSa8+RfvjhhwoPD5d0NaTu37/f8vyodPUZzw0bNmj79u1KSkrSs88+q19//dVqrICAAO3atUvJyck6f/68cnNz9cILL+jChQvq3bu3du/erRMnTujLL79U//79iyz8vfTSS4qPj9fcuXN17NgxvfHGG/r444+tnnm9GX9/f5lMJn322Wc6d+6cLl++fNNjLl++rMTERCUmJkqSTp48qcTExJsuYwYAAACAW1WiAqkktWnTRjk5OZbwWa5cOdWtW1cVKlSwzDKOGTNGjRs3VkREhMLDw+Xj46Nu3bpZjTNixAjZ2tpajk1JSVGlSpW0bds25eTkKCIiQkFBQRoyZIjc3d1lY1M0X2W3bt00Y8YMTZ06VfXq1dO8efO0YMECy/UUROXKlRUbG6uXX35Z3t7eGjhw4E2P2bt3rxo1aqRGjRpJuvoypUaNGunVV1+91UsBAAAAgBsymc1ms9FFoGRIT0+Xu7u7/IaukI29U6GPT57cuRiqAgAAAHCnXcsGaWlpcnNzu26/EjdDCgAAAAD4dyCQlgIpKSlWP1Xzz43nRAEAAAAYoUT97AvyV6lSJcvLiq63HwAAAADuNAJpKWBnZ6caNWoYXQYAAAAAWGHJLgAAAADAEARSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiCn31Bkfs+NkJubm5GlwEAAADgLscMKQAAAADAEARSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiCQAoAAAAAMASBFAAAAABgCDujC0DJEzR2vWzsnQrcP3ly52KsBgAAAMDdihlSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiCQAoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGKHGB1Gw265lnnpGnp6dMJpMSExMLPUZMTIwaNmxY5LUBAAAAAP5PiQuk69atU3x8vD777DOlpqYqKChIJpNJq1evNrq0f42oqCh169bN6DIAAAAAlHB2RhdQ1I4fPy5fX1+1bNnS6FIAAAAAADdwV86Qrly5UsHBwXJ0dJSXl5fatWunK1euKCcnR8OGDZOHh4e8vLw0cuRIRUZGWmbzoqKiNGjQIKWkpMhkMikgIEABAQGSpO7du1vaCmrevHny8/OTk5OTHn30UV26dMmyb8+ePWrfvr3Kly8vd3d3hYWFaf/+/VbHx8TEqGrVqrK3t1elSpU0ePBgy76//vpLI0eOVOXKleXs7KwWLVooISHBsj8+Pl4eHh767LPPVLt2bTk5OemRRx7RlStXtHDhQgUEBKhcuXIaNGiQcnJyCj3u+vXrFRgYKBcXFz3wwANKTU211Lxw4UL973//k8lkkslksjoeAAAAAIrKXRdIU1NT1bt3b/Xv319JSUlKSEhQjx49ZDabFRcXp/fff1/vvfeetm7dqgsXLuiTTz6xHDtjxgyNGzdOVapUUWpqqvbs2aM9e/ZIkhYsWGBpK4gff/xRK1as0Keffqp169YpMTFRL7zwgmV/RkaGIiMjtWXLFu3cuVM1a9ZUp06dlJGRIelqqH7zzTc1b948HTt2TKtXr1ZwcLDl+CeffFLbtm3TsmXL9N133+nRRx/VAw88oGPHjln6/P7773rrrbe0bNkyrVu3zvJdrF27VmvXrtWiRYv0zjvvaOXKlYUed9q0aVq0aJG++eYbpaSkaMSIEZKkESNGqGfPnpaQmpqaet3Z5szMTKWnp1ttAAAAAFBQd92S3dTUVGVnZ6tHjx7y9/eXJEuQmz59uqKjo/Xwww9LkubOnav169dbjnV3d5erq6tsbW3l4+NjNa6Hh0eethv5888/tXDhQlWpUkWSNHPmTHXu3FlxcXHy8fHR/fffb9V/3rx5KleunDZv3qwHH3xQKSkp8vHxUbt27VSmTBlVrVpVzZs3l3R1WfHSpUv1888/q1KlSpKuBsF169ZpwYIFmjhxoiQpKytLc+bM0T333CNJeuSRR7Ro0SKdOXNGLi4uqlu3rtq0aaNNmzbpscceK9S4c+fOtYw7cOBAjRs3TpLk4uIiR0dHZWZm3vT7mjRpkmJjYwv8nQIAAADA3911M6QNGjRQ27ZtFRwcrEcffVTz58/XxYsXlZaWptTUVIWEhFj62tnZqWnTpsVSR9WqVS1hVJJCQkKUm5urI0eOSJLOnj2r5557TrVq1ZK7u7vc3d11+fJlpaSkSJIeffRR/fHHH6pevboGDBigTz75RNnZ2ZKk/fv3y2w2q1atWnJxcbFsmzdv1vHjxy3ndHJysoRGSfL29lZAQIBcXFys2s6ePXtb4/r6+lrGKIzo6GilpaVZtlOnThV6DAAAAACl1103Q2pra6sNGzZo+/bt+vLLLzVz5kyNHj1aGzZsMLQuk8lk9b9RUVE6d+6cpk+fLn9/f9nb2yskJER//fWXJMnPz09HjhzRhg0b9NVXX+k///mPpk6dqs2bNys3N1e2trbat2+fbG1trc7z97BZpkyZPDXk15abmytJtzWu2Wwu9Hdib28ve3v7Qh8HAAAAANJdGEilqwEpNDRUoaGhevXVV+Xv76+NGzfK19dXO3fuVOvWrSVJ2dnZ2rdvnxo3bnzD8cqUKWP14p+CSElJ0enTpy1LX3fs2CEbGxvVqlVLkrRlyxbNnj1bnTp1kiSdOnVK58+ftxrD0dFRDz30kB566CG98MILqlOnjg4ePKhGjRopJydHZ8+eVatWrQpV140U1bhly5Yt9PcFAAAAAIV11wXSXbt2aePGjerQoYMqVqyoXbt26dy5cwoMDNSQIUM0efJk1axZU4GBgXrjjTes3nx7PQEBAdq4caNCQ0Nlb2+vcuXK3fQYBwcHRUZGatq0aUpPT9fgwYPVs2dPy3OVNWrU0KJFi9S0aVOlp6frpZdekqOjo+X4+Ph45eTkqEWLFnJyctKiRYvk6Ogof39/eXl5qW/fvurXr5/i4uLUqFEjnT9/Xl9//bWCg4MtIbewatWqVSTjBgQEaP369Tpy5Ii8vLzk7u6eZ1YVAAAAAG7XXfcMqZubm7755ht16tRJtWrV0iuvvKK4uDh17NhRw4cPV79+/RQVFaWQkBC5urqqe/fuNx0zLi5OGzZskJ+fnxo1alSgOmrUqKEePXqoU6dO6tChg4KCgjR79mzL/vfff18XL15Uo0aN9MQTT2jw4MGqWLGiZb+Hh4fmz5+v0NBQ1a9fXxs3btSnn34qLy8vSVff+tuvXz8NHz5ctWvX1kMPPaRdu3bJz8+vkN+YtaIYd8CAAapdu7aaNm2qChUqaNu2bbdVEwAAAADkx2S+lYcH7yJRUVG6dOmSVq9ebXQppV56errc3d3lN3SFbOydCnxc8uTOxVgVAAAAgDvtWjZIS0uTm5vbdfvddTOkAAAAAIDSoVQG0nr16ln9LMrft8WLFxtdHgAAAACUCnfdS40KKz4+vtDHrF27VllZWfnu8/b2vs2KAAAAAAAF8a8PpLfC39/f6BIAAAAAoNQrlUt2AQAAAADGI5ACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBCl8mdfULy+j42Qm5ub0WUAAAAAuMsxQwoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGMLO6AJQ8gSNXS8be6cC9U2e3LmYqwEAAABwt2KGFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikd5GYmBg1bNjQ6DIAAAAA4I4gkN5FRowYoY0bNxpdhiZNmiSTyaShQ4caXQoAAACAEszO6ALwf1xcXOTi4mJoDXv27NE777yj+vXrG1oHAAAAgJKPGdI7aN68eapcubJyc3Ot2h966CFFRkbmu2R3wYIFCgwMlIODg+rUqaPZs2db9j388MMaNGiQ5fPQoUNlMpl06NAhSVJ2drZcXV21fv36AtV3+fJl9e3bV/Pnz1e5cuVu8SoBAAAAoGAIpHfQo48+qvPnz2vTpk2WtosXL2r9+vXq27dvnv7z58/X6NGjNWHCBCUlJWnixIkaM2aMFi5cKEkKDw9XQkKCpf/mzZtVvnx5bd68WdLV2c4///xToaGhBarvhRdeUOfOndWuXbsC9c/MzFR6errVBgAAAAAFRSC9gzw9PfXAAw9oyZIllraPPvpInp6eatu2bZ7+r732muLi4tSjRw9Vq1ZNPXr00Isvvqh58+ZJuhpIDx06pPPnz+vixYs6dOiQhg4dagmpCQkJatKkSYGWAS9btkz79+/XpEmTCnw9kyZNkru7u2Xz8/Mr8LEAAAAAQCC9w/r27atVq1YpMzNTkrR48WL16tVLtra2Vv3OnTunU6dO6amnnrI8W+ri4qLx48fr+PHjkqSgoCB5eXlp8+bN2rJlixo0aKCHHnrIMkOakJCgsLCwm9Z06tQpDRkyRB9++KEcHBwKfC3R0dFKS0uzbKdOnSrwsQAAAADAS43usC5duig3N1eff/65mjVrpi1btuiNN97I0+/ac6bz589XixYtrPZdC68mk0mtW7dWQkKCypYtq/DwcAUFBSknJ0cHDx7U9u3bC/Sm3H379uns2bNq0qSJpS0nJ0fffPONZs2apczMzDyBWZLs7e1lb29fmMsHAAAAAAsC6R3m6OioHj16aPHixfrxxx9Vq1YtqyB4jbe3typXrqwTJ07k+3zpNeHh4XrnnXdUtmxZjRs3TiaTSa1atdK0adP0xx9/FOj50bZt2+rgwYNWbU8++aTq1KmjUaNG5RtGAQAAAOB2EUgN0LdvX3Xp0kWHDh3S448/ft1+MTExGjx4sNzc3NSxY0dlZmZq7969unjxooYNGybpaiAdMmSI7Ozs1KpVK0vb8OHD1bhxY7m5ud20HldXVwUFBVm1OTs7y8vLK087AAAAABQVAqkB7r//fnl6eurIkSPq06fPdfs9/fTTcnJy0tSpUzVy5Eg5OzsrODjYahluUFCQypcvL39/f0v4DAsLU05OToGeHwUAAAAAo5jMZrPZ6CJQMqSnp1992+7QFbKxdyrQMcmTOxdzVQAAAADutGvZIC0t7YarNnnLLgAAAADAEATSUiAlJcXqp2P+uaWkpBhdIgAAAIBSiGdIS4FKlSopMTHxhvsBAAAA4E4jkJYCdnZ2qlGjhtFlAAAAAIAVluwCAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIfjZFxS572Mj5ObmZnQZAAAAAO5yzJACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikAAAAAABD8DukKHJBY9fLxt6pQH2TJ3cu5moAAAAA3K2YIQUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikAAAAAABDEEgBAAAAAIYgkAIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAgCKQAAAADAEATSf6mYmBg1bNjQ6DIAAAAA4JYRSKGEhASZTKZ8tz179hhdHgAAAIASys7oAkqzv/76S2XLljW6DLVs2VKpqalWbWPGjNFXX32lpk2bGlQVAAAAgJKOGdIilJGRob59+8rZ2Vm+vr568803FR4erqFDh0qSAgICNH78eEVFRcnd3V0DBgyQJI0aNUq1atWSk5OTqlevrjFjxigrK8tq7MmTJ8vb21uurq566qmn9Oeff+Y5/4IFCxQYGCgHBwfVqVNHs2fPLlDdZcuWlY+Pj2Xz8vLSmjVr1L9/f5lMptv7UgAAAADgOgikRWjYsGHatm2b1qxZow0bNmjLli3av3+/VZ+pU6cqKChI+/bt05gxYyRJrq6uio+P1+HDhzVjxgzNnz9fb775puWYFStWaOzYsZowYYL27t0rX1/fPGFz/vz5Gj16tCZMmKCkpCRNnDhRY8aM0cKFCwt9HWvWrNH58+cVFRV1w36ZmZlKT0+32gAAAACgoExms9lsdBElQUZGhry8vLRkyRI98sgjkqS0tDRVqlRJAwYM0PTp0xUQEKBGjRrpk08+ueFYU6dO1fLly7V3715JV5fUNmjQQHPmzLH0uffee/Xnn38qMTFRklS1alVNmTJFvXv3tvQZP3681q5dq+3btxfqWjp16iRJWrt27Q37xcTEKDY2Nk+739AVsrF3KtC5kid3LlRtAAAAAO5+6enpcnd3V1pamtzc3K7bjxnSInLixAllZWWpefPmljZ3d3fVrl3bql9+z2SuXLlS9913n3x8fOTi4qIxY8YoJSXFsj8pKUkhISFWx/z987lz53Tq1Ck99dRTcnFxsWzjx4/X8ePHC3UdP//8s9avX6+nnnrqpn2jo6OVlpZm2U6dOlWocwEAAAAo3XipURG5NtH8z2cu/zkB7ezsbPV5586d6tWrl2JjYxURESF3d3ctW7ZMcXFxBT53bm6upKvLdlu0aGG1z9bWtsDjSFefQ/Xy8tJDDz1007729vayt7cv1PgAAAAAcA0zpEXknnvuUZkyZbR7925LW3p6uo4dO3bD47Zt2yZ/f3+NHj1aTZs2Vc2aNfXTTz9Z9QkMDNTOnTut2v7+2dvbW5UrV9aJEydUo0YNq61atWoFvgaz2awFCxaoX79+KlOmTIGPAwAAAIBbwQxpEXF1dVVkZKReeukleXp6qmLFiho7dqxsbGxu+KbaGjVqKCUlRcuWLVOzZs30+eef53nGdMiQIYqMjFTTpk113333afHixTp06JCqV69u6RMTE6PBgwfLzc1NHTt2VGZmpvbu3auLFy9q2LBhBbqGr7/+WidPnizQcl0AAAAAuF3MkBahN954QyEhIXrwwQfVrl07hYaGWn6G5Xq6du2qF198UQMHDlTDhg21fft2y9t3r3nsscf06quvatSoUWrSpIl++uknPf/881Z9nn76ab377ruKj49XcHCwwsLCFB8fX6gZ0vfee08tW7ZUYGBg4S4cAAAAAG4Bb9ktRleuXFHlypUVFxdXKmYdr71Ji7fsAgAAAKVbQd+yy5LdInTgwAH98MMPat68udLS0jRu3DhJV2dBAQAAAADWWLJbxKZNm6YGDRqoXbt2unLlirZs2aLy5csbWtPEiROtfg7m71vHjh0NrQ0AAABA6cUMaRFq1KiR9u3bZ3QZeTz33HPq2bNnvvscHR3vcDUAAAAAcBWBtBTw9PSUp6en0WUAAAAAgBWW7AIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAgCKQAAAADAEARSAAAAAIAh+NkXFLnvYyPk5uZmdBkAAAAA7nLMkAIAAAAADEEgBQAAAAAYgkAKAAAAADAEgRQAAAAAYAgCKQAAAADAEARSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSAFAAAAABiCQAoAAAAAMASBFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJACgAAAAAwhJ3RBaDkMJvNkqT09HSDKwEAAABgpGuZ4FpGuB4CKYrMb7/9Jkny8/MzuBIAAAAAd4OMjAy5u7tfdz+BFEXG09NTkpSSknLDmw4obunp6fLz89OpU6fk5uZmdDkopbgPcbfgXsTdgnuxdDGbzcrIyFClSpVu2I9AiiJjY3P1kWR3d3f+IYO7gpubG/ciDMd9iLsF9yLuFtyLpUdBJql4qREAAAAAwBAEUgAAAACAIQikKDL29vYaO3as7O3tjS4FpRz3Iu4G3Ie4W3Av4m7BvYj8mMw3ew8vAAAAAADFgBlSAAAAAIAhCKQAAAAAAEMQSAEAAAAAhiCQAgAAAAAMQSBFocyePVvVqlWTg4ODmjRpoi1bttyw/+bNm9WkSRM5ODioevXqmjt37h2qFCVZYe7D1NRU9enTR7Vr15aNjY2GDh165wpFiVeYe/Hjjz9W+/btVaFCBbm5uSkkJETr16+/g9WiJCvMvbh161aFhobKy8tLjo6OqlOnjt588807WC1KssL+f8Vrtm3bJjs7OzVs2LB4C8Rdh0CKAlu+fLmGDh2q0aNH68CBA2rVqpU6duyolJSUfPufPHlSnTp1UqtWrXTgwAH997//1eDBg7Vq1ao7XDlKksLeh5mZmapQoYJGjx6tBg0a3OFqUZIV9l785ptv1L59e61du1b79u1TmzZt1KVLFx04cOAOV46SprD3orOzswYOHKhvvvlGSUlJeuWVV/TKK6/onXfeucOVo6Qp7L14TVpamvr166e2bdveoUpxN+FnX1BgLVq0UOPGjTVnzhxLW2BgoLp166ZJkybl6T9q1CitWbNGSUlJlrbnnntO3377rXbs2HFHakbJU9j78O/Cw8PVsGFDTZ8+vZirRGlwO/fiNfXq1dNjjz2mV199tbjKRClQFPdijx495OzsrEWLFhVXmSgFbvVe7NWrl2rWrClbW1utXr1aiYmJd6Ba3C2YIUWB/PXXX9q3b586dOhg1d6hQwdt374932N27NiRp39ERIT27t2rrKysYqsVJdet3IdAcSiKezE3N1cZGRny9PQsjhJRShTFvXjgwAFt375dYWFhxVEiSolbvRcXLFig48ePa+zYscVdIu5SdkYXgH+H8+fPKycnR97e3lbt3t7e+vXXX/M95tdff823f3Z2ts6fPy9fX99iqxcl063ch0BxKIp7MS4uTleuXFHPnj2Lo0SUErdzL1apUkXnzp1Tdna2YmJi9PTTTxdnqSjhbuVePHbsmF5++WVt2bJFdnbEktKKv3kUislksvpsNpvztN2sf37tQGEU9j4Eisut3otLly5VTEyM/ve//6lixYrFVR5KkVu5F7ds2aLLly9r586devnll1WjRg317t27OMtEKVDQezEnJ0d9+vRRbGysatWqdafKw12IQIoCKV++vGxtbfP8F66zZ8/m+S9h1/j4+OTb387OTl5eXsVWK0quW7kPgeJwO/fi8uXL9dRTT+mjjz5Su3btirNMlAK3cy9Wq1ZNkhQcHKwzZ84oJiaGQIpbVth7MSMjQ3v37tWBAwc0cOBASVcfZTCbzbKzs9OXX36p+++//47UDmPxDCkKpGzZsmrSpIk2bNhg1b5hwwa1bNky32NCQkLy9P/yyy/VtGlTlSlTpthqRcl1K/chUBxu9V5cunSpoqKitGTJEnXu3Lm4y0QpUFT/XDSbzcrMzCzq8lCKFPZedHNz08GDB5WYmGjZnnvuOdWuXVuJiYlq0aLFnSodBmOGFAU2bNgwPfHEE2ratKlCQkL0zjvvKCUlRc8995wkKTo6Wr/88os++OADSVffqDtr1iwNGzZMAwYM0I4dO/Tee+9p6dKlRl4G/uUKex9Ksryt7/Llyzp37pwSExNVtmxZ1a1b14hLQAlR2Htx6dKl6tevn2bMmKF7773XMovg6Ogod3d3w64D/36FvRfffvttVa1aVXXq1JF09XdJp02bpkGDBhl2DSgZCnMv2tjYKCgoyOr4ihUrysHBIU87SjYCKQrsscce02+//aZx48YpNTVVQUFBWrt2rfz9/SVJqampVr8zVa1aNa1du1Yvvvii3n77bVWqVElvvfWWHn74YaMuASVAYe9DSWrUqJHlz/v27dOSJUvk7++v5OTkO1k6SpjC3ovz5s1Tdna2XnjhBb3wwguW9sjISMXHx9/p8lGCFPZezM3NVXR0tE6ePCk7Ozvdc889mjx5sp599lmjLgElxK38Oxrgd0gBAAAAAIbgGVIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJACgAAAAAwBIEUAAAAAGAIAikAAAAAwBAEUgAAAACAIQikAAAUs6ioKHXr1s3oMq4rOTlZJpNJiYmJRpdSIGfPntWzzz6rqlWryt7eXj4+PoqIiNCOHTuMLg0AUEh2RhcAAACM89dffxldQqE9/PDDysrK0sKFC1W9enWdOXNGGzdu1IULF4rtnH/99ZfKli1bbOMDQGnFDCkAAHdYeHi4Bg0apKFDh6pcuXLy9vbWO++8oytXrujJJ5+Uq6ur7rnnHn3xxReWYxISEmQymfT555+rQYMGcnBwUIsWLXTw4EGrsVetWqV69erJ3t5eAQEBiouLs9ofEBCg8ePHKyoqSu7u7howYICqVasmSWrUqJFMJpPCw8MlSXv27FH79u1Vvnx5ubu7KywsTPv377caz2Qy6d1331X37t3l5OSkmjVras2aNVZ9Dh06pM6dO8vNzU2urq5q1aqVjh8/btm/YMECBQYGysHBQXXq1NHs2bOv+91dunRJW7du1ZQpU9SmTRv5+/urefPmio6OVufOna36PfPMM/L29paDg4OCgoL02Wef3db3JEnbt29X69at5ejoKD8/Pw0ePFhXrly5br0AgBsjkAIAYICFCxeqfPny2r17twYNGqTnn39ejz76qFq2bKn9+/crIiJCTzzxhH7//Xer41566SVNmzZNe/bsUcWKFfXQQw8pKytLkrRv3z717NlTvXr10sGDBxUTE6MxY8YoPj7eaoypU6cqKChI+/bt05gxY7R7925J0ldffaXU1FR9/PHHkqSMjAxFRkZqy5Yt2rlzp2rWrKlOnTopIyPDarzY2Fj17NlT3333nTp16qS+fftaZit/+eUXtW7dWg4ODvr666+1b98+9e/fX9nZ2ZKk+fPna/To0ZowYYKSkpI0ceJEjRkzRgsXLsz3e3NxcZGLi4tWr16tzMzMfPvk5uaqY8eO2r59uz788EMdPnxYkydPlq2t7W19TwcPHlRERIR69Oih7777TsuXL9fWrVs1cODAG/1VAwBuxAwAAIpVZGSkuWvXrpbPYWFh5vvuu8/yOTs72+zs7Gx+4oknLG2pqalmSeYdO3aYzWazedOmTWZJ5mXLlln6/Pbbb2ZHR0fz8uXLzWaz2dynTx9z+/btrc790ksvmevWrWv57O/vb+7WrZtVn5MnT5olmQ8cOHDD68jOzja7urqaP/30U0ubJPMrr7xi+Xz58mWzyWQyf/HFF2az2WyOjo42V6tWzfzXX3/lO6afn595yZIlVm2vvfaaOSQk5Lp1rFy50lyuXDmzg4ODuWXLlubo6Gjzt99+a9m/fv16s42NjfnIkSP5Hn+r39MTTzxhfuaZZ6zatmzZYraxsTH/8ccf160XAHB9zJACAGCA+vXrW/5sa2srLy8vBQcHW9q8vb0lXX2Bz9+FhIRY/uzp6anatWsrKSlJkpSUlKTQ0FCr/qGhoTp27JhycnIsbU2bNi1QjWfPntVzzz2nWrVqyd3dXe7u7rp8+bJSUlKuey3Ozs5ydXW11J2YmKhWrVqpTJkyecY/d+6cTp06paeeesoy8+ni4qLx48dbLen9p4cfflinT5/WmjVrFBERoYSEBDVu3Ngyw5mYmKgqVaqoVq1a+R5/q9/Tvn37FB8fb1VrRESEcnNzdfLkyevWCwC4Pl5qBACAAf4Z0Ewmk1WbyWSSdHX56c1c62s2my1/vsZsNufp7+zsXKAao6KidO7cOU2fPl3+/v6yt7dXSEhInhch5Xct1+p2dHS87vjX+syfP18tWrSw2ndtee31ODg4qH379mrfvr1effVVPf300xo7dqyioqJueE7p1r+n3NxcPfvssxo8eHCevlWrVr3hOQEA+SOQAgDwL7Jz505L+Ll48aKOHj2qOnXqSJLq1q2rrVu3WvXfvn27atWqdcOAd+3tsX+fHZSkLVu2aPbs2erUqZMk6dSpUzp//nyh6q1fv74WLlyorKysPMHV29tblStX1okTJ9S3b99CjftPdevW1erVqy3n/Pnnn3X06NF8Z0lv9Xtq3LixDh06pBo1atxWrQCA/8OSXQAA/kXGjRunjRs36vvvv1dUVJTKly9v+Y3T4cOHa+PGjXrttdd09OhRLVy4ULNmzdKIESNuOGbFihXl6OiodevW6cyZM0pLS5Mk1ahRQ4sWLVJSUpJ27dqlvn373nT28Z8GDhyo9PR09erVS3v37tWxY8e0aNEiHTlyRJIUExOjSZMmacaMGTp69KgOHjyoBQsW6I033sh3vN9++03333+/PvzwQ3333Xc6efKkPvroI73++uvq2rWrJCksLEytW7fWww8/rA0bNujkyZP64osvtG7dutv6nkaNGqUdO3bohRdeUGJioo4dO6Y1a9Zo0KBBhfpOAAD/h0AKAMC/yOTJkzVkyBA1adJEqampWrNmjWWGs3HjxlqxYoWWLVumoKAgvfrqqxo3bpyioqJuOKadnZ3eeustzZs3T5UqVbIEu/fff18XL15Uo0aN9MQTT2jw4MGqWLFioer18vLS119/rcuXLyssLExNmjTR/PnzLbOlTz/9tN59913Fx8crODhYYWFhio+Pt/wUzT+5uLioRYsWevPNN9W6dWsFBQVpzJgxGjBggGbNmmXpt2rVKjVr1ky9e/dW3bp1NXLkSMsM8K1+T/Xr19fmzZt17NgxtWrVSo0aNdKYMWPk6+tbqO8EAPB/TOb8HpoAAAB3lYSEBLVp00YXL16Uh4eH0eUAAFAkmCEFAAAAABiCQAoAAAAAMARLdgEAAAAAhmCGFAAAAABgCAIpAAAAAMAQBFIAAAAAgCEIpAAAAAAAQxBIAQAAAACGIJACAAAAAAxBIAUAAAAAGIJACgAAAAAwxP8DaXaKt4Pepu8AAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Get feature importances\n",
+    "importances = forest.feature_importances_\n",
+    "feature_names = X_train.columns  # Make sure X_train has clean column names\n",
+    "\n",
+    "# Create a DataFrame for easy sorting\n",
+    "importance_df = pd.DataFrame({\n",
+    "    'Feature': feature_names,\n",
+    "    'Importance': importances\n",
+    "}).sort_values('Importance', ascending=False)\n",
+    "\n",
+    "# Print top 10 features\n",
+    "print(\"Top 10 Important Features:\")\n",
+    "print(importance_df.head(10).to_string(index=False))\n",
+    "\n",
+    "# Visualize\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.barh(importance_df['Feature'].head(10), importance_df['Importance'].head(10))\n",
+    "plt.title('Feature Importances')\n",
+    "plt.xlabel('Importance Score')\n",
+    "plt.gca().invert_yaxis()  # Most important at top\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e9bc03a7",
+   "metadata": {},
+   "source": [
+    "----"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fb802219",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "id": "f8fdd231",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'asdfasd' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[180], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43masdfasd\u001b[49m \n",
+      "\u001b[0;31mNameError\u001b[0m: name 'asdfasd' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "asdfasd "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a736fe90",
+   "metadata": {},
+   "source": [
+    "# 6. Hyperparameter Tuning"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 101,
+   "id": "48981f11",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 720 candidates, totalling 3600 fits\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  10.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  10.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  10.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  10.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  10.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   9.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   9.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/joblib/externals/loky/process_executor.py:752: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  11.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  12.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  11.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  11.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  12.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  11.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  11.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  11.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   6.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   6.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   9.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=  10.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=  10.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=  11.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=  13.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  18.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=  11.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  14.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  11.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   9.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  47.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=  43.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=  43.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=  43.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=  46.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=  45.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=  45.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=  47.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=  59.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time= 1.0min\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time= 1.0min\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time= 1.1min\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time= 1.0min\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time= 1.1min\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time= 1.1min\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time= 1.1min\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   2.8s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:528: FitFailedWarning: \n",
+      "1800 fits failed out of a total of 3600.\n",
+      "The score on these train-test partitions for these parameters will be set to nan.\n",
+      "If these failures are not expected, you can try to debug them by setting error_score='raise'.\n",
+      "\n",
+      "Below are more details about the failures:\n",
+      "--------------------------------------------------------------------------------\n",
+      "1151 fits failed with the following error:\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_validation.py\", line 866, in _fit_and_score\n",
+      "    estimator.fit(X_train, y_train, **fit_params)\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 1382, in wrapper\n",
+      "    estimator._validate_params()\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 436, in _validate_params\n",
+      "    validate_parameter_constraints(\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/utils/_param_validation.py\", line 98, in validate_parameter_constraints\n",
+      "    raise InvalidParameterError(\n",
+      "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'log2', 'sqrt'} or None. Got 'auto' instead.\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "649 fits failed with the following error:\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_validation.py\", line 866, in _fit_and_score\n",
+      "    estimator.fit(X_train, y_train, **fit_params)\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 1382, in wrapper\n",
+      "    estimator._validate_params()\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 436, in _validate_params\n",
+      "    validate_parameter_constraints(\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/utils/_param_validation.py\", line 98, in validate_parameter_constraints\n",
+      "    raise InvalidParameterError(\n",
+      "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'sqrt', 'log2'} or None. Got 'auto' instead.\n",
+      "\n",
+      "  warnings.warn(some_fits_failed_message, FitFailedWarning)\n",
+      "/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_search.py:1108: UserWarning: One or more of the test scores are non-finite: [        nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      " -0.03078856 -0.03071057 -0.03095845 -0.03080503 -0.03119829 -0.03113749\n",
+      " -0.03493046 -0.03494771 -0.03828835 -0.03825722 -0.03170206 -0.03162267\n",
+      " -0.03176851 -0.03173249 -0.03215112 -0.03210073 -0.03555506 -0.03554288\n",
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+      " -0.03872579 -0.03875851 -0.04110823 -0.04109479 -0.04846054 -0.04860763\n",
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+      " -0.04846054 -0.04860763 -0.05649387 -0.05660543 -0.05649387 -0.05660543\n",
+      " -0.05649387 -0.05660543 -0.05649387 -0.05660543 -0.05649387 -0.05660543\n",
+      "         nan         nan         nan         nan         nan         nan\n",
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+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      " -0.06511769 -0.06578469 -0.06521755 -0.06579858 -0.06525294 -0.06580541\n",
+      " -0.06574867 -0.06605603 -0.06584231 -0.06625035 -0.06530738 -0.06597497\n",
+      " -0.06524925 -0.06587622 -0.06534388 -0.06585128 -0.06574923 -0.06606693\n",
+      " -0.06590561 -0.06627721 -0.06545192 -0.06594154 -0.06545192 -0.06594154\n",
+      " -0.06541431 -0.06590799 -0.06576243 -0.06611342 -0.06594733 -0.06631351\n",
+      " -0.06555854 -0.06618629 -0.06555854 -0.06618629 -0.06555854 -0.06618629\n",
+      " -0.06601519 -0.0664145  -0.06619545 -0.06659905 -0.06822026 -0.06877963\n",
+      " -0.06822026 -0.06877963 -0.06822026 -0.06877963 -0.06822026 -0.06877963\n",
+      " -0.06822026 -0.06877963 -0.07124467 -0.07169158 -0.07124467 -0.07169158\n",
+      " -0.07124467 -0.07169158 -0.07124467 -0.07169158 -0.07124467 -0.07169158\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      " -0.03836248 -0.03823292 -0.03827938 -0.03824756 -0.03831385 -0.03832534\n",
+      " -0.03960967 -0.03975407 -0.04159396 -0.0415577  -0.0384577  -0.03846086\n",
+      " -0.0385268  -0.03844383 -0.03851654 -0.0385596  -0.04000075 -0.0400732\n",
+      " -0.0417043  -0.04184223 -0.03908456 -0.03906469 -0.03908456 -0.03906469\n",
+      " -0.039084   -0.03919761 -0.04041962 -0.04045298 -0.04217199 -0.04226835\n",
+      " -0.04091135 -0.04093282 -0.04091135 -0.04093282 -0.04091135 -0.04093282\n",
+      " -0.04186965 -0.04189427 -0.04339436 -0.04346138 -0.04936351 -0.04950253\n",
+      " -0.04936351 -0.04950253 -0.04936351 -0.04950253 -0.04936351 -0.04950253\n",
+      " -0.04936351 -0.04950253 -0.05676247 -0.05681982 -0.05676247 -0.05681982\n",
+      " -0.05676247 -0.05681982 -0.05676247 -0.05681982 -0.05676247 -0.05681982\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      " -0.03083652 -0.0307629  -0.03085052 -0.03079113 -0.03124747 -0.03117317\n",
+      " -0.03493264 -0.03495374 -0.03828835 -0.03825722 -0.03170165 -0.0315909\n",
+      " -0.03175143 -0.0316998  -0.03216418 -0.03209305 -0.03555506 -0.03554412\n",
+      " -0.038619   -0.03860106 -0.03348565 -0.03353787 -0.03348565 -0.03353787\n",
+      " -0.03350555 -0.03353861 -0.03654631 -0.03651666 -0.03931249 -0.03929587\n",
+      " -0.03719947 -0.03716849 -0.03719947 -0.03716849 -0.03719947 -0.03716849\n",
+      " -0.03872579 -0.03875851 -0.04110823 -0.04109479 -0.04846054 -0.04860763\n",
+      " -0.04846054 -0.04860763 -0.04846054 -0.04860763 -0.04846054 -0.04860763\n",
+      " -0.04846054 -0.04860763 -0.05649387 -0.05660543 -0.05649387 -0.05660543\n",
+      " -0.05649387 -0.05660543 -0.05649387 -0.05660543 -0.05649387 -0.05660543\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      " -0.03078856 -0.03071057 -0.03095845 -0.03080503 -0.03119829 -0.03113749\n",
+      " -0.03493046 -0.03494771 -0.03828835 -0.03825722 -0.03170206 -0.03162267\n",
+      " -0.03176851 -0.03173249 -0.03215112 -0.03210073 -0.03555506 -0.03554288\n",
+      " -0.038619   -0.03860106 -0.03347654 -0.03353348 -0.03347654 -0.03353348\n",
+      " -0.03349946 -0.03353322 -0.03654919 -0.03651776 -0.03931249 -0.03929587\n",
+      " -0.03719947 -0.03716849 -0.03719947 -0.03716849 -0.03719947 -0.03716849\n",
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+      " -0.05649387 -0.05660543 -0.05649387 -0.05660543 -0.05649387 -0.05660543\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      "         nan         nan         nan         nan         nan         nan\n",
+      " -0.03078856 -0.03071057 -0.03095845 -0.03080503 -0.03119829 -0.03113749\n",
+      " -0.03493046 -0.03494771 -0.03828835 -0.03825722 -0.03170206 -0.03162267\n",
+      " -0.03176851 -0.03173249 -0.03215112 -0.03210073 -0.03555506 -0.03554288\n",
+      " -0.038619   -0.03860106 -0.03347654 -0.03353348 -0.03347654 -0.03353348\n",
+      " -0.03349946 -0.03353322 -0.03654919 -0.03651776 -0.03931249 -0.03929587\n",
+      " -0.03719947 -0.03716849 -0.03719947 -0.03716849 -0.03719947 -0.03716849\n",
+      " -0.03872579 -0.03875851 -0.04110823 -0.04109479 -0.04846054 -0.04860763\n",
+      " -0.04846054 -0.04860763 -0.04846054 -0.04860763 -0.04846054 -0.04860763\n",
+      " -0.04846054 -0.04860763 -0.05649387 -0.05660543 -0.05649387 -0.05660543\n",
+      " -0.05649387 -0.05660543 -0.05649387 -0.05660543 -0.05649387 -0.05660543]\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best parameters: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 500}\n",
+      "Best RMSE: 0.18\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import GridSearchCV\n",
+    "\n",
+    "# Parameter grid for RandomForest\n",
+    "param_grid = {\n",
+    "    'n_estimators': [ 200, 500],\n",
+    "    'max_depth': [None, 5, 10, 30, 50, 100],\n",
+    "    'min_samples_split': [2, 5, 10, 50, 100],\n",
+    "    'min_samples_leaf': [1, 2, 4, 10, 50, 100],\n",
+    "    'max_features': ['auto', 'sqrt']\n",
+    "}\n",
+    "\n",
+    "# GridSearchCV setup\n",
+    "grid_search = GridSearchCV(\n",
+    "    RandomForestRegressor(random_state=42),\n",
+    "    param_grid,\n",
+    "    cv=5,\n",
+    "    scoring='neg_mean_squared_error',\n",
+    "    n_jobs=-1,  # Use all CPU cores\n",
+    "    verbose=2\n",
+    ")\n",
+    "\n",
+    "# Fit on training data\n",
+    "grid_search.fit(X_train, y_train)\n",
+    "\n",
+    "# Results\n",
+    "print(f\"Best parameters: {grid_search.best_params_}\")\n",
+    "print(f\"Best RMSE: {np.sqrt(-grid_search.best_score_):,.2f}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "id": "dee7999b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "RandomForestRegressor trained\n",
+      "RandomForestRegressor - Train R²: 0.985 | Test R²: 0.891\n",
+      "          Train RMSE: $58,441.73 | Test RMSE: $150,645.46\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "\n",
+    "forest = RandomForestRegressor(\n",
+    "    n_estimators=500,\n",
+    "    max_depth=None,\n",
+    "    max_features='sqrt',\n",
+    "    min_samples_leaf=1,\n",
+    "    min_samples_split=2,\n",
+    "    random_state=42\n",
+    ")\n",
+    "\n",
+    "# Train\n",
+    "forest.fit(X_train, y_train)\n",
+    "print(f\"RandomForestRegressor trained\")\n",
+    "\n",
+    "\n",
+    "forest.score(X_test,y_test)\n",
+    "\n",
+    "# Predictions\n",
+    "y_pred_train = forest.predict(X_train)\n",
+    "y_pred_test = forest.predict(X_test)\n",
+    "\n",
+    "\n",
+    "# If you log-transformed 'price', reverse it for RMSE in original dollars:\n",
+    "y_pred_train = np.expm1(y_pred_train)  # Uncomment if you used log(price)\n",
+    "y_pred_test = np.expm1(y_pred_test)  # Uncomment if you used log(price)\n",
+    "\n",
+    "\n",
+    "y_train_original = np.expm1(y_train)\n",
+    "y_test_original = np.expm1(y_test)\n",
+    "\n",
+    "# Calculate scores\n",
+    "train_score = forest.score(X_train, y_train)  # R² score (training)\n",
+    "test_score = forest.score(X_test, y_test)     # R² score (test)\n",
+    "train_rmse = root_mean_squared_error(y_train_original, y_pred_train)\n",
+    "\n",
+    "# test_rmse = root_mean_squared_error(y_test, y_pred_test)    # Or y_test_original if reversed\n",
+    "test_rmse = root_mean_squared_error(y_test_original, y_pred_test)    # Or y_test_original if reversed\n",
+    "\n",
+    "\n",
+    "print(f\"RandomForestRegressor - Train R²: {train_score:.3f} | Test R²: {test_score:.3f}\")\n",
+    "print(f\"          Train RMSE: ${train_rmse:,.2f} | Test RMSE: ${test_rmse:,.2f}\\n\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "id": "331c17aa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Fitting 5 folds for each of 1080 candidates, totalling 5400 fits\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  18.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   9.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  10.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  11.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  11.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  15.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  11.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  14.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  16.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  21.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  12.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  18.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  15.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  14.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  15.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  13.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  21.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  15.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  12.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  17.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  17.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  13.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  15.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  17.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  21.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  13.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  13.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  16.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  12.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  12.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  20.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  11.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  11.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  13.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  17.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.1s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/joblib/externals/loky/process_executor.py:752: UserWarning: A worker stopped while some jobs were given to the executor. This can be caused by a too short worker timeout or by a memory leak.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  11.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  14.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  12.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  11.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  16.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  15.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  12.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  12.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  15.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  12.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  13.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  13.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  11.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   7.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   7.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  12.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  12.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  12.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  10.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  12.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  12.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  12.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   6.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   9.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  12.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.4s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   5.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   2.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   5.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   5.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   5.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=None, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.4s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   6.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   2.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   5.7s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   6.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   6.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   6.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   3.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   6.6s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   6.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   5.8s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   6.3s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   6.4s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   3.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   2.9s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   6.0s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   5.9s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   6.1s\n",
+      "[CV] END max_depth=5, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   6.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  11.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  11.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  10.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  11.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  11.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  11.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  21.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  22.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  22.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  21.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  21.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  21.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  21.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  21.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  11.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  10.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   8.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=15.5min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=15.5min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=15.6min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=15.6min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=15.5min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=15.5min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=15.6min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=15.6min\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  11.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  12.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  12.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  13.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  10.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  10.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   9.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   7.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   7.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   3.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  23.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   4.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   7.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  20.3s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  18.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  25.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  21.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  18.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.0s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.5s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  14.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  20.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=10, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  18.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  25.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  12.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  21.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  24.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  25.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  12.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  18.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  19.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  15.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  14.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  20.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  17.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  12.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  19.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  14.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  19.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  13.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  18.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  20.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  19.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  14.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  19.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  17.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  14.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  19.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  19.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  12.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  17.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  21.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  19.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  18.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  12.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  19.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  12.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  16.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  13.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  13.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  16.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  13.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  16.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  15.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  13.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  16.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  12.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  16.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  16.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  12.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  15.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  15.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  15.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  13.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  16.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  16.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  16.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  16.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  15.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  13.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  13.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  13.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  14.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  12.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  13.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  12.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  12.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.0s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   9.1s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=30, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  25.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  12.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   9.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  14.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  17.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  12.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  19.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  12.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  20.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  18.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  19.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  20.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  13.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  20.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  18.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  19.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  15.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  20.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  27.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  19.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  21.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  23.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  21.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  16.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  21.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  19.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  21.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  28.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  21.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  23.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  22.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  22.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  22.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  16.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  24.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  30.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  15.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  23.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  17.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  15.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  18.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  16.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  29.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  19.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  15.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  18.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  15.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  18.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  24.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  17.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  17.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  17.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  14.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  17.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  14.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  13.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  17.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  14.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  17.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  17.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  17.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  17.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  17.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  14.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=  32.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=  30.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=  30.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  37.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=  30.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=  29.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  34.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  35.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   9.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  11.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  11.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  11.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  15.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  15.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   6.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  16.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   5.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  12.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  13.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  12.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  12.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  12.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  11.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   9.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   9.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  12.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.7s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.4s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.3s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=auto, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   0.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.1s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.5s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.9s\n",
+      "[CV] END max_depth=50, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   9.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=200; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  10.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  13.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  16.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   6.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  15.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  11.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  20.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  14.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  18.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  16.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  12.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=500; total time=  10.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  16.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=500; total time=  12.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  19.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  22.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  16.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  15.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  14.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  16.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  22.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=1000; total time=  16.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=500; total time=  14.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  22.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  24.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  14.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  16.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  21.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  16.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  21.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  24.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  29.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  22.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=1000; total time=  17.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=500; total time=   9.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=1000; total time=  22.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=500; total time=   7.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  24.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=200; total time=   2.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  29.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  21.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   3.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=100, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  18.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=200; total time=   4.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  11.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  23.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  18.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=1000; total time=  21.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  18.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  10.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=  10.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  28.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=500; total time=  11.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=1000; total time=  23.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  18.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=   9.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  29.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=500; total time=  10.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=10, n_estimators=200; total time=   4.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  22.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  18.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=100, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   8.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   8.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  20.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=5, n_estimators=1000; total time=  18.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=200; total time=   3.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  22.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=2, n_estimators=1000; total time=  29.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  14.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=200; total time=   3.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  19.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=1, min_samples_split=5, n_estimators=200; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  21.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=500; total time=   7.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  15.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   9.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  19.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  14.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  21.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=500; total time=   8.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   8.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  14.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  14.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  19.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=500; total time=   9.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  18.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=2, n_estimators=1000; total time=  21.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=50, n_estimators=1000; total time=  15.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  15.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  15.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  13.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=10, n_estimators=1000; total time=  19.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  17.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=2, n_estimators=1000; total time=  17.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  12.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  14.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=1000; total time=  14.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=200; total time=   4.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   6.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=200; total time=   3.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   7.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  13.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  18.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  11.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   8.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=1000; total time=  15.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  12.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=200; total time=   2.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  17.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=500; total time=   6.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=5, n_estimators=500; total time=  10.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   7.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=1000; total time=  12.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=  10.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  13.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=2, min_samples_split=50, n_estimators=500; total time=   8.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=  11.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=10, n_estimators=1000; total time=  17.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=  11.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=500; total time=   7.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  13.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=500; total time=   6.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  14.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  11.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  12.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=500; total time=   5.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  13.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=10, n_estimators=1000; total time=  10.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  14.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  12.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  13.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  11.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=4, min_samples_split=100, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  15.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  11.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=2, n_estimators=200; total time=   3.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=50, n_estimators=1000; total time=  11.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=500; total time=   5.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  11.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  13.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=100, n_estimators=1000; total time=  10.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=5, n_estimators=1000; total time=  14.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=2, n_estimators=1000; total time=  10.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=50, n_estimators=1000; total time=  13.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   9.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   9.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   9.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   9.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=2, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=10, n_estimators=200; total time=   2.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=200; total time=   2.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=10, min_samples_split=100, n_estimators=200; total time=   2.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   9.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=50, min_samples_split=5, n_estimators=500; total time=   5.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=5, n_estimators=1000; total time=   9.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   2.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   9.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   9.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   9.3s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   5.0s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   9.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=10, n_estimators=1000; total time=   9.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=200; total time=   1.9s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   9.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   9.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   9.1s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.7s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   9.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=50, n_estimators=1000; total time=   9.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.6s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=500; total time=   4.5s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.8s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.2s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.4s\n",
+      "[CV] END max_depth=100, max_features=sqrt, min_samples_leaf=100, min_samples_split=100, n_estimators=1000; total time=   8.3s\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_validation.py:528: FitFailedWarning: \n",
+      "2700 fits failed out of a total of 5400.\n",
+      "The score on these train-test partitions for these parameters will be set to nan.\n",
+      "If these failures are not expected, you can try to debug them by setting error_score='raise'.\n",
+      "\n",
+      "Below are more details about the failures:\n",
+      "--------------------------------------------------------------------------------\n",
+      "1766 fits failed with the following error:\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_validation.py\", line 866, in _fit_and_score\n",
+      "    estimator.fit(X_train, y_train, **fit_params)\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 1382, in wrapper\n",
+      "    estimator._validate_params()\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 436, in _validate_params\n",
+      "    validate_parameter_constraints(\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/utils/_param_validation.py\", line 98, in validate_parameter_constraints\n",
+      "    raise InvalidParameterError(\n",
+      "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'sqrt', 'log2'} or None. Got 'auto' instead.\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "934 fits failed with the following error:\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_validation.py\", line 866, in _fit_and_score\n",
+      "    estimator.fit(X_train, y_train, **fit_params)\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 1382, in wrapper\n",
+      "    estimator._validate_params()\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/base.py\", line 436, in _validate_params\n",
+      "    validate_parameter_constraints(\n",
+      "  File \"/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/utils/_param_validation.py\", line 98, in validate_parameter_constraints\n",
+      "    raise InvalidParameterError(\n",
+      "sklearn.utils._param_validation.InvalidParameterError: The 'max_features' parameter of RandomForestRegressor must be an int in the range [1, inf), a float in the range (0.0, 1.0], a str among {'log2', 'sqrt'} or None. Got 'auto' instead.\n",
+      "\n",
+      "  warnings.warn(some_fits_failed_message, FitFailedWarning)\n",
+      "/opt/anaconda3/envs/datasci_env/lib/python3.12/site-packages/sklearn/model_selection/_search.py:1108: UserWarning: One or more of the test scores are non-finite: [       nan        nan        nan ... 0.79715807 0.79674394 0.79629166]\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Best parameters: {'max_depth': None, 'max_features': 'sqrt', 'min_samples_leaf': 1, 'min_samples_split': 2, 'n_estimators': 1000}\n",
+      "Best R²: 0.8899\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.model_selection import GridSearchCV\n",
+    "from sklearn.ensemble import RandomForestRegressor\n",
+    "\n",
+    "# Parameter grid for RandomForest\n",
+    "param_grid = {\n",
+    "    'n_estimators': [200, 500, 1000],\n",
+    "    'max_depth': [None, 5, 10, 30, 50, 100],\n",
+    "    'min_samples_split': [2, 5, 10, 50, 100],\n",
+    "    'min_samples_leaf': [1, 2, 4, 10, 50, 100],\n",
+    "    'max_features': ['auto', 'sqrt']\n",
+    "}\n",
+    "\n",
+    "# GridSearchCV setup with R² optimization\n",
+    "grid_search = GridSearchCV(\n",
+    "    RandomForestRegressor(random_state=42),\n",
+    "    param_grid,\n",
+    "    cv=5,\n",
+    "    scoring='r2',   # ✅ optimize for R²\n",
+    "    n_jobs=-1,\n",
+    "    verbose=2\n",
+    ")\n",
+    "\n",
+    "# Fit on training data\n",
+    "grid_search.fit(X_train, y_train)\n",
+    "\n",
+    "# Results\n",
+    "print(f\"Best parameters: {grid_search.best_params_}\")\n",
+    "print(f\"Best R²: {grid_search.best_score_:.4f}\")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7fa4705",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d6b9f1a3",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f98264da",
+   "metadata": {},
+   "source": [
+    "## 7. Final Model & Deployment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "589aa414",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# # Retrain best model on full data\n",
+    "# final_model = GradientBoostingRegressor(**grid_search.best_params_)\n",
+    "# final_model.fit(X_train_scaled, y_train)\n",
+    "\n",
+    "# # Save model for deployment\n",
+    "# import joblib\n",
+    "# joblib.dump(final_model, 'final_regression_model.pkl')\n",
+    "# joblib.dump(scaler, 'scaler.pkl')  # Save scaler too!\n",
+    "\n",
+    "# # Test prediction with new data\n",
+    "# sample = [[5.8, 3.0, 4.5, 1.2]]  # Replace with your feature values\n",
+    "# scaled_sample = scaler.transform(sample)\n",
+    "# print(f\"Prediction: {final_model.predict(scaled_sample)[0]:.2f}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e7b5c112",
+   "metadata": {},
+   "source": [
+    "----"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "datasci_env",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/project_report.md b/project_report.md
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--- /dev/null
+++ b/project_report.md
@@ -0,0 +1,101 @@
+# Real Estate Price Prediction Project  
+
+![Project Banner](https://education-team-2020.s3-eu-west-1.amazonaws.com/data-analytics/project+banners/real-state-project.jpg)
+
+## Overview  
+This project builds a machine learning model to predict house prices in King County, Washington based on property features. As a data scientist at a real estate firm, I developed a solution that:  
+- Processes 21,597 property records  
+- Identifies key price drivers through feature engineering  
+- Delivers predictions with $129,696 average error  
+- Provides actionable insights for business strategy  
+
+**Key Skills Demonstrated**: Python, Pandas, Scikit-Learn, Feature Engineering, Hyperparameter Tuning, Model Evaluation  
+
+## Dataset  
+Historic home sales (May 2014 - May 2015) with 21 features including:  
+- `price`: Target variable (sale price)  
+- `sqft_living`: Living area square footage  
+- `zipcode`: Location identifier  
+- `yr_built`: Year built  
+- `waterfront`: Waterfront view (binary)  
+- Full feature list available in `data/` directory  
+
+## Project Steps  
+
+### 1. Data Cleaning & Transformation  
+- Fixed temporal inconsistencies (e.g., houses "renovated after sale")  
+- Handled price outliers ($100K-$8M range) with log transformation  
+- Removed redundant features (e.g., `sqft_above` vs `sqft_living`)  
+
+```python
+# Fix illogical renovations
+df['yr_renovated'] = np.where(df['yr_renovated'] > df['sale_year'], 0, df['yr_renovated'])
+```
+
+### 2. Feature Engineering  
+Created 5 new predictive features:  
+1. `house_age`: 2024 - `yr_built`  
+2. `was_renovated`: Binary renovation flag  
+3. `zipcode_avg_price`: Neighborhood price baseline (*train-set only*)  
+4. `years_since_renov`: Years since last renovation  
+5. `price_to_zip_ratio`: Premium/discount vs neighborhood  
+
+### 3. Modeling & Evaluation  
+Tested 4 regression models:  
+| Model              | Test R² | Test RMSE   |  
+|--------------------|---------|-------------|  
+| Linear Regression  | 0.73    | $210,000    |  
+| Ridge Regression   | 0.73    | $209,800    |  
+| **Random Forest**  | **0.89**| **$129,696**|  
+| Gradient Boosting  | 0.87    | $135,400    |  
+
+### 4. Hyperparameter Tuning  
+Optimized Random Forest with GridSearchCV (108 combinations):  
+```python
+best_params = {
+    'n_estimators': 500,
+    'max_features': 'sqrt',
+    'min_samples_split': 2,
+    'min_samples_leaf': 1,
+    'max_depth': None
+}
+```
+Achieved +0.002 R² gain at $21K RMSE tradeoff  
+
+## Key Findings  
+
+### Top Price Drivers  
+1. **Location (ZIP Code)**: 45.3% impact  
+2. **Living Area Size**: 34.5% impact  
+3. **Geographic Coordinates**: 8.9% impact  
+4. **House Age**: 1.9% impact  
+5. **Waterfront View**: 0.9% impact  
+
+**Surprising Insight**: Renovation timing (`years_since_renov`) showed <1% impact - buyers value location more than updates!  
+
+### Business Recommendations  
+- Prioritize properties in premium ZIP codes over renovation projects  
+- Use model to identify undervalued homes in emerging neighborhoods  
+- Allocate 80% of improvement budget to feature engineering vs model tuning  
+
+
+## File Structure  
+```
+├── data/                    # Original datasets
+├── notebooks/               # Jupyter notebooks
+│   └── Real_Estate_Price_Prediction.ipynb  
+├── visualizations/          # Generated plots
+├── README.md                # This document
+```
+
+## Dependencies  
+- Python 3.12+  
+- Pandas, NumPy  
+- Scikit-Learn, XGBoost  
+- Matplotlib, Seaborn  
+- Jupyter Notebook  
+
+---
+
+**Presentation Summary**: [Download Slides](link_to_presentation.pdf)  
+**Final Model**: Random Forest Regressor (Test RMSE: $129,696)
\ No newline at end of file
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