Evaluation of Binary Classifiers

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.


Reference manual

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0.0.3 by Antoine Bichat, a year 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