arXiv Machine Learning June 8, 2026 By Muhammad Jawad Mufti, Omar Hammad, Haitham Saleh, Muqaddas Gull

A Rolling-Window Framework for Churn Prediction and Behavioral Driver Identification

Read the original on arXiv Machine Learning →

arXiv:2606. 06776v1 Announce Type: new Abstract: Customer churn prediction is a central task in customer analytics, particularly in non-contractual, pay-per-use service environments where disengagement is not explicitly observed and must be inferred from behavioral inactivity.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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