S. Shende

A Multi-Model Comparative Framework for Credit Risk Prediction: Statistical vs Machine Learning Approaches

There are two domains in credit risk- retail credit risk & corporate credit risk. Traditional statistical models are used for creating default risk prediction. This study presents dual track Machine Learning pipeline for credit risk prediction compared to old & traditional statistical models. Logistic regression, Light...