You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Also consider rm redundant code that performs Cs evaluation. not used anywhere. Either expose option to user so can print eval scores for each method on plot, or rm.
In file R/confidence_score_plots.R
aggreCAT/R/confidence_score_plots.R
Line 171 in 3404472
Also consider rm redundant code that performs Cs evaluation. not used anywhere. Either expose option to user so can print eval scores for each method on plot, or rm.
replicated_outcome = ifelse(outcome == 1, "TRUE", "FALSE") #TODO not clear why this is necessary, it's just creating a logical of outcome?
evaluated_outcomes <- aggreCAT::confidence_score_evaluation( #TODO this is a bit redundant, but it generates the AUC and Brier Score for the plot annotation, which is useful for interpretation of the heatmap
dplyr::mutate(AUC = round(AUC, digits = 3)) %>% #TODO #85 rm redundant, not used in plotting, but useful for interpretation of the heatmap, consider exposing in the output of the function