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.
It appears you don't have a PDF plugin for this browser. You can
click here to download the reference manual.
Antoine Bichat, 10 months ago
Report a bug at https://github.com/abichat/evabic/issues
Browse source code at
Antoine Bichat [aut, cre]
See at CRAN