Problem Overview: The goal of this project is to build a predictive model that takes various inputs from customers and provides a risk classification for their life insurance application. The model should be able to accurately classify applicants into different risk categories while maintaining privacy and avoiding the need for extensive manual processes.
1.Random Forest
Model Explainability and Interpretability with the help of SHAP.