Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores
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arXiv:2609.23926v2 Announce Type: new Abstract: Density-Ratio Rescoring (DRR) augments a classifier trained at the original class prior with a survey-raking dual score. Raking reweights the majority sample to match minority feature moments within a tolerance. DRR marginally standardizes the dual an…
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- 2026-09-22 04:00 · arXiv stat.ML
Density-Ratio Rescoring for Imbalanced Classification Using Raking Duals and Classifier Scores