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evabic

Evaluation of Binary Classifiers

v0.1.4 · Dec 12, 2025 · GPL-3

Description

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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14 OK
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r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Version History

new 0.1.4 Mar 10, 2026
updated 0.1.4 ← 0.1.1 diff Dec 12, 2025
updated 0.1.1 ← 0.0.3 diff Aug 16, 2022
updated 0.0.3 ← 0.0.1 diff Jun 11, 2020
new 0.0.1 Mar 7, 2020