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Open access Sep 2026

The Explainability–Reliability Gap in Fraud Detection: Evidence from SHAP and Permutation Importance Under Distribution Shift

This study develops an empirical audit framework for assessing the explainability–reliability gap in fraud detection: whether stable model explanations remain consistent with performance-based feature reliance under distribution shift. Using the Bank Account Fraud dataset suite, including a Base dataset and five biased...

Istiaque Bhuiyan, Rahmad Mirza, A. Hoque et al. · 0 citations

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