sort score labels putting high scores first

compute the cumulated actives curve given an already sorted list of score labels

compute Area Under the ROC curve given an already sorted list of score labels

ROC curve (list of (FPR,TPR) values) corresponding to those score labels

compute Area Under the ROC curve given an unsorted list of score labels

(early) enrichment factor at given threshold (database percentage) given an unsorted list of score labels

initial_enhancement a score_labels will compute S = sum_over_i (exp (-rank(active_i) / a)) given an unsorted list of score labels. Robust Initial Enhancement (RIE) = S/<S> where <S> is the average S for randomly ordered score labels. RIE = 1.0 <=> random performance. Cf. DOI:10.1021/ci0100144 for details.

same as initial_enhancement but does not reorder the list of score_labels

power metric at given threshold given an unsorted list of score labels

bedroc_auc at given alpha. Default alpha = 20.0.