Yun-Hao Leng

An Interpretable Machine Learning Framework for E-Commerce Customer Churn Prediction Using SHAP

The results show that the proposed system can not only achieve stable predictive performance but also reveal the key drivers of customer churn, such as "engagement score" and "days since last purchase", which can provide actionable, data-driven business strategies for customer retention.