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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0.0.3 by Antoine Bichat, 10 months ago
https://abichat.github.io/evabic, https://github.com/abichat/evabic
Report a bug at https://github.com/abichat/evabic/issues
Browse source code at https://github.com/cran/evabic
Authors: Antoine Bichat [aut, cre]
Documentation: PDF Manual
GPL-3 license
Suggests testthat
See at CRAN