Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification

Martin Mihelich; François Castagnos; Charles Dognin

2024 ICML ICML 2024

Interplay of ROC and Precision-Recall AUCs: Theoretical Limits and Practical Implications in Binary Classification

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Martin Mihelich, François Castagnos, Charles Dognin

Topics

Machine Learning > Core Methods > Classification

Keywords

binary classification model evaluation imbalanced dataset precision-recall auc receiver operating characteristic auc theoretical limits

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