Evaluating Customer Churn Prediction with Machine Learning and Deep Learning Models

Peteti, Lavanya and Kandivalasa, Harsha Vardhini and Sajja, Jahnavi and Patel, Eva (2025) Evaluating Customer Churn Prediction with Machine Learning and Deep Learning Models. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.

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Abstract

Churn is one of the largest growth threats in the telecommunication industry. To manage it effectively, predictive modeling has become the strategy of choice. The following section of this paper compares some machine learning and deep learning techniques. The next part of this paper discusses a comp

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:17
Last Modified: 16 Apr 2026 15:58
URI: http://eprints.eai.eu/id/eprint/60074

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