Optimizing Stacking Ensemble Models for Customer Churn Prediction in the Telecommunications Industry

One of the biggest challenges in the telecommunications industry is predicting churn, which is the condition when a customer unsubscribes and switches to another service provider. In an era of competitive market conditions, retaining customers is much more efficient than acquiring new customers. Con...

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Principais autores:	Rofik Rofik, Jumanto Unjung, Dwika Ananda Agustina Pertiwi, Much Aziz Muslim
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Department of Informatics, UIN Sunan Gunung Djati Bandung 2026-04-01
Colecção:	JOIN: Jurnal Online Informatika
Assuntos:	churn prediction logistic regression machine learning stacking ensemble telecommunications
Acesso em linha:	https://join.if.uinsgd.ac.id/index.php/join/article/view/1783
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