Online Retail Customer Churn Prediction: A Complete Solution Based on RFM Feature Engineering and Multi-Model Comparison

Introduction / Main Floor: Online Retail Customer Churn Prediction: A Complete Solution Based on RFM Feature Engineering and Multi-Model Comparison

The MahletAk/customer-churn-prediction-online-retail project provides a complete online retail customer churn prediction solution. It adopts the RFM (Recency, Frequency, Monetary) feature engineering method, combines multiple machine learning algorithms including Logistic Regression, Random Forest, XGBoost, and Naive Bayes, and conducts comprehensive model comparison and evaluation on the Online Retail II dataset.