RobustMetrics
Calculates Robust Performance Metrics for Imbalanced Classification Problems
Calculates robust Matthews Correlation Coefficient (MCC) and robust F-Beta Scores, as introduced by Holzmann and Klar (2024) <doi:10.48550/arXiv.2404.07661>. These performance metrics are designed for imbalanced classification problems. Plots the receiver operating characteristic curve (ROC curve) together with the recall / 1-precision curve.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | RobustMetrics_0.1.1.tar.gz |
304.7 KiB |
0.1.1 |
rolling linux/noble R-4.5 | RobustMetrics_0.1.1.tar.gz |
304.6 KiB |
0.1.1 |
rolling source/ R- | RobustMetrics_0.1.1.tar.gz |
309.1 KiB |
0.1.1 |
latest linux/jammy R-4.5 | RobustMetrics_0.1.1.tar.gz |
304.7 KiB |
0.1.1 |
latest linux/noble R-4.5 | RobustMetrics_0.1.1.tar.gz |
304.6 KiB |
0.1.1 |
latest source/ R- | RobustMetrics_0.1.1.tar.gz |
309.1 KiB |
0.1.1 |
2026-04-26 source/ R- | RobustMetrics_0.1.1.tar.gz |
309.1 KiB |
0.1.1 |
2026-04-23 source/ R- | RobustMetrics_0.1.1.tar.gz |
309.1 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | RobustMetrics_0.1.1.zip |
308.0 KiB |