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Leveraging Machine Learning and Causal Inference for Loan Default Prediction

Guida, Luca

… Elimination (RFE) variations based on: (1): occlusion sensitivity and (2): double machine learning (DML), each providing a unique view of feature engineering. These RFE methods were then coupled with machine learning models such as Logistic Regression, Random Forest, Naive Bayes, XGBoost, and …

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