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Open access Sep 2026

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...

Sumeyye Bas, B. Bulut, Gizem Türkoğlu Ay et al. · 0 citations

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