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Author

Khadija Slimani

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Review Open access Jul 2026

Credit Risk Scoring in the Age of AI: A Systematic Comparison of Traditional, ML, and DL Models Based on Accuracy, Stability, and Interpretability

This review evaluates accuracy, stability and interpretability, offering guidance for model selection in real-world credit scoring, and Logistic regression remains essential in regulated contexts requiring transparency, supporting informed decisions on balancing performance and explainability.

Radouane Aboulmaouda, Khadija Slimani, N. Chaoui · 0 citations