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.


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Reference manual

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install.packages("evabic")

0.0.3 by Antoine Bichat, 4 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