LightGBM achieves the highest accuracy (90.07%) and ROC AUC (0.7203) for credit default prediction in a comparison of three ensembles with SHAP/LIME explainability on a public lending dataset.
Credit risk prediction using machine learning and deep learning: A study on credit card customers,
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Explainable Artificial Intelligence Credit Risk Assessment using Machine Learning
LightGBM achieves the highest accuracy (90.07%) and ROC AUC (0.7203) for credit default prediction in a comparison of three ensembles with SHAP/LIME explainability on a public lending dataset.