Library
Module
Module type
Parameter
Class
Class type
module SL : SCORE_LABEL
sort score labels putting high scores first
compute the cumulated actives curve given an already sorted list of score labels
val cumulated_actives_curve : SL.t list -> int list
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
val fast_auc : SL.t list -> float
compute Area Under the ROC curve given an already sorted list of score labels
compute Area Under the ROC curve given an unsorted list of score labels
val auc : SL.t list -> float
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
val enrichment_factor : float -> SL.t list -> float
(early) enrichment factor at given threshold (database percentage) given an unsorted list of score labels
power metric at given threshold given an unsorted list of score labels
val power_metric : float -> SL.t list -> float
power metric at given threshold given an unsorted list of score labels
bedroc_auc at given alpha. Default alpha = 20.0.
val bedroc_auc : ?alpha:float -> SL.t list -> float
bedroc_auc at given alpha. Default alpha = 20.0.