Introducing the O-Value: A Universal Standardization for Confusion-Matrix-Based Classification Performance Metrics

ArXi:2505.07033v2 Announce Type: replace-cross Many classification performance metrics exist, each suited to a specific application. However, these metrics often differ in scale and can exhibit varying sensitivity to class imbalance rates in the test set. As a result, it is difficult to use the nominal values of these metrics to evaluate, compare and monitor classification performances, especially when imbalance rates vary. To address this problem, we