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B. Sidhu

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Open access Jul 2026

An Interpretability Analysis of Credit Default Prediction Using Random Forest with SHAP and LIME

This study explores the use of Explainable Artificial intelligence techniques to improve the interpretability of credit default prediction and highlights the practical value of explainable machine learning in developing more understandable, trustworthy, and accountable credit risk assessment systems for real-world financial decision-making.

Muskan, B. Sidhu · 0 citations

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