Flashcard
PR vs ROC on Imbalanced Data
Why precision-recall curves, calibration, and cost-based thresholds beat ROC-AUC when positives are rare.
Question
On severe class imbalance, why prefer PR curves over ROC, and how do calibration and threshold tuning fit in?
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