Explaining and Predicting Mobile Network–Driven Churn Using Machine Learning and SHapley Additive exPlanations–Based Attribution
Customer churn remains a critical concern in the mobile telecommunications industry, where retaining subscribers is essential for long-term profitability. This study presents an explainable machine learning framework to detect and interpret network-driven churn by integrating demographic data with key network performan...