A novel classification algorithm for customer churn prediction based on hybrid Ensemble-Fusion model

Abstract Nowadays, customer churn issues are becoming more and more important, which is one of the most important metrics for evaluating the health of a business it is difficult to measure success without measuring customer churn metrics. However, it has become a challenge for the industry to predic...

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Bibliographic Details
Main Authors: Chenggang He, Chris H. Q. Ding
Format: Article
Language:English
Published: Nature Portfolio 2024-08-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-71168-x