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evabic

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.

Versions across snapshots

VersionRepositoryFileSize
0.1.4 rolling source/ R- evabic_0.1.4.tar.gz 117.1 KiB
0.1.4 latest source/ R- evabic_0.1.4.tar.gz 117.1 KiB
0.1.4 2026-04-23 source/ R- evabic_0.1.4.tar.gz 117.1 KiB
0.1.4 2026-04-09 windows/windows R-4.5 evabic_0.1.4.zip 146.7 KiB

Dependencies (latest)

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