EvaluationMeasures
Collection of Model Evaluation Measure Functions
Provides Some of the most important evaluation measures for evaluating a model. Just by giving the real and predicted class, measures such as accuracy, sensitivity, specificity, ppv, npv, fmeasure, mcc and ... will be returned.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling source/ R- | EvaluationMeasures_1.1.0.tar.gz |
7.4 KiB |
1.1.0 |
latest source/ R- | EvaluationMeasures_1.1.0.tar.gz |
7.4 KiB |
1.1.0 |
2026-04-23 source/ R- | EvaluationMeasures_1.1.0.tar.gz |
7.4 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | EvaluationMeasures_1.1.0.zip |
61.2 KiB |