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Machine Learning and Knowledge Extraction· 2025Q1· Review

Customer Churn Prediction: A Systematic Review of Recent Advances, Trends, and Challenges in Machine Learning and Deep Learning

Mehdi Imani, Majid Joudaki, Ali Beikmohammadi, Hamid R. Arabnia

Short summary

A systematic review of 240 studies (2020-2024) reveals ensemble ML methods like XGBoost and LightGBM remain dominant for customer churn prediction, with increasing adoption of DL techniques like LSTM and CNN for complex data.

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