$\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions
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arXiv:2608.24582v1 Announce Type: new Abstract: Credit risk models increasingly need to combine predictive accuracy with transparent explanations and auditable fairness constraints. Logistic regression remains attractive because its coefficients are easy to interpret, but it can miss nonlinear stru…
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- 2026-08-26 04:00 · arXiv stat.ML
$\texttt{findr}$: Transparent and Fair Credit Risk Decisions through Semi-Structured Regressions