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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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Autori principali: Rofik Rofik, Jumanto Unjung, Dwika Ananda Agustina Pertiwi, Much Aziz Muslim
Natura: Artigo
Lingua:Inglês
Pubblicazione: Department of Informatics, UIN Sunan Gunung Djati Bandung 2026-04-01
Serie:JOIN: Jurnal Online Informatika
Soggetti:
churn prediction
logistic regression
machine learning
stacking ensemble
telecommunications
Accesso online:https://join.if.uinsgd.ac.id/index.php/join/article/view/1783
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