Nothing
RobustMetrics: Calculates Robust Performance Metrics for Imbalanced Classification Problems
Calculates robust Matthews Correlation Coefficient (MCC), Cohen's Kappa, and robust F-Beta Scores, as introduced by Holzmann and Klar (2026) <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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Bernhard Klar [aut, cre], Hajo Holzmann [aut] |
| Maintainer | Bernhard Klar <bernhard.klar@kit.edu> |
| License | GPL (>= 3) |
| Version | 1.0.0 |
| URL | https://github.com/BernhardKlar/RobustMetrics |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the RobustMetrics package in your browser
Any scripts or data that you put into this service are public.
