Add implementation of precision-recall gain AUC#21370
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fchollet merged 5 commits intokeras-team:masterfrom Jun 10, 2025
Merged
Add implementation of precision-recall gain AUC#21370fchollet merged 5 commits intokeras-team:masterfrom
fchollet merged 5 commits intokeras-team:masterfrom
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## 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
Misses 7399 7399
Partials 2087 2087
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fchollet
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Jun 10, 2025
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This is neat -- thanks for the contribution!
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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.