Empirical analysis of tree-based classification models for customer churn prediction

Empirical analysis of tree-based classification models for customer churn prediction

Customer churn is a vital and reoccurring problem facing most business industries, particularly the telecommunications industry. Considering the fierce competition among telecommunications firms and the high expenses of attracting and gaining new subscribers, keeping existing loyal subscribers becom...

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Bibliographic Details
Main Authors: Fatima E. Usman-Hamza, Abdullateef O. Balogun, Salahdeen K. Nasiru, Luiz Fernando Capretz, Hammed A. Mojeed, Shakirat A. Salihu, Abimbola G. Akintola, Modinat A. Mabayoje, Joseph B. Awotunde
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Scientific African
Subjects:
Customer churn prediction (CCP)
Class imbalance problem (CIP)
Tree-based classifiers
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227623005070

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http://www.sciencedirect.com/science/article/pii/S2468227623005070

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