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fraudcost: cost-aware thresholding and calibration for fraud models

integration_instructionsResearch softwarekeyboard_double_arrow_right Software Under curationPublisher:Zenodo
Authors: Polisetty, Praveen Kumar;

doi: 10.5281/zenodo.20541781

fraudcost: cost-aware thresholding and calibration for fraud models

Abstract

Maintenance release. Adds CI (Python 3.10–3.12), a CONTRIBUTING guide, and a versioned release for archival / DOI minting via Zenodo. No API changes since v0.1.0. fraudcost provides cost-aware thresholding and probability calibration for fraud-detection models: example-dependent cost evaluation, Platt/isotonic calibration, cost-optimal threshold selection, and a cost-vs-recall operating curve.

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