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...