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
| Version | Repository | File | Size |
|---|---|---|---|
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)
Suggests
- testthat (>= 2.1.0)