Machine Learning Based Housing Loan Default Prediction Using Client and Property Data
Overall, it can be concluded that the application of gradient-boosted tree ensembles in combination with good feature engineering and hyperparameter optimization makes it possible for such models to provide an optimal trade-off between accuracy, speed, and explainability when predicting housing loan default.