Patient_Charges_Regression

Overview

Dataset contains individual medical cost information.

In this project, we analyze the main factors that affect medical costs and and predict it based on those factors.

Machine learning models used:

Linear models: Linear regression, Ridge regression, Polynominal.

Ensemble models: Random Forests, AdaBoost, XGBoost,Gradient Boost, LGBM, Stacking.

MLP regressor, SVM.

Result

With Random Forests, error on train set is RMSE = 4456 and test set is RMSE = 4495.