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This package implements some of the tools described in

Holzmann, H. and Klar, B. (2024). Robust performance metrics for imbalanced classification problems.

arXiv:2404.07661. \href{https://arxiv.org/abs/2404.07661}{LINK}

It calculates the robust Matthews Correlation Coefficient (MCC) and the robust F-Beta Score, which are performance metrics designed for imbalanced classification problems. Along with the robust MCC, the receiver operating characteristic curve and the recall/1-precision curve are plotted.

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Calculates robust performance metrics for imbalanced classification problems

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