Customer Churn Prediction
CurrentConducted thorough Exploratory Data Analysis (EDA) to understand customer behavior and identify key factors influencing churn.Implemented a Decision Tree classifier for initial predictions:- Achieved class 0, class 1 precision of 0.94, 0.93 and F1-score of 0.92, 0.94 respectively.- Overall accuracy reached 91.6%.Enhanced model performance using SMOTE analysis with a Random Forest classifier:- Achieved class 0, class 1 precision of 0.96, 0.93 and F1-score of 0.93, 0.95… Show more Conducted thorough Exploratory Data Analysis (EDA) to understand customer behavior and identify key factors influencing churn.Implemented a Decision Tree classifier for initial predictions:- Achieved class 0, class 1 precision of 0.94, 0.93 and F1-score of 0.92, 0.94 respectively.- Overall accuracy reached 91.6%.Enhanced model performance using SMOTE analysis with a Random Forest classifier:- Achieved class 0, class 1 precision of 0.96, 0.93 and F1-score of 0.93, 0.95 respectively.- Overall accuracy improved to 93.88%. Show less