Evaluates the performance of binary classifiers.
Computes confusion measures (TP, TN, FP, FN), derived measures (TPR,
FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are
well suited for nested dataframes.
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Antoine Bichat, a year ago
Report a bug at https://github.com/abichat/evabic/issues
Browse source code at
Antoine Bichat [aut, cre]
See at CRAN