Car_Insurance_Prediction

The purpose of the prediction is whether customer will purchase or not the car insurance. For predicting car_insurance I have used multiple algorithms like as - Logistic Regression, Decision Tree, Random Forest, AdaBoost (Random Forest as base estimator), Gradient Boosting, Extra Trees, XGBoost, CatBoost Classification respectively. To run on Test Dataset I choose AdaBoost which gives me 70% accuracy on Train Dataset. So AdaBoost Classification Algorithm gives best accuracy score than other classification algorithms.

4/29/2021
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Tags:  

#python 

#machine-learning 

#classification 

#data-sprint