The paper defines the OPS function that standardizes any CMBCP metric to its percentile rank in a reference distribution of possible performances, enabling consistent evaluation across different imbalance rates.
Kotra, Loan default prediction dataset, Kaggle, Retrieved from https://www.kaggle.com/datasets/nikhil1e9/loan-default (2019)
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Introducing the O-Value: A Universal Standardization for Confusion-Matrix-Based Classification Performance Metrics
The paper defines the OPS function that standardizes any CMBCP metric to its percentile rank in a reference distribution of possible performances, enabling consistent evaluation across different imbalance rates.