Add implementation of precision-recall gain AUC #21370
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Codecov ReportAll modified and coverable lines are covered by tests ✅
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## master #21370 +/- ##
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Coverage 82.72% 82.72%
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Files 565 565
Lines 54904 54910 +6
Branches 8520 8519 -1
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+ Hits 45418 45424 +6
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Partials 2087 2087
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fchollet
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Jun 10, 2025
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We implement the AUC metric described in https://research-information.bris.ac.uk/files/72164009/5867_precision_recall_gain_curves_pr_analysis_done_right.pdf
This metric is intended to help classifiers when the true label fraction is far from balanced (0.5) and to be independent of the true label fraction, allowing to compare values between reweighted models, unlike the original PR curve.