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@iazzi iazzi commented Jun 17, 2025

Backport of keras-team/keras#21370

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.

iazzi added 2 commits June 17, 2025 08:56
Add PRGAIN enum for AUC metric types
Add implementation of precision-recall gain AUC
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