An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers

An Ensemble Model for Predicting Retail Banking Churn in the Youth Segment of Customers

(1) This study aims to predict the youth customers’ defection in retail banking. The sample comprised 602 young adult bank customers. (2) The study applied Machine learning techniques, including ensembles, to predict the possibility of churn. (3) The absence of mobile banking, zero-interest personal...

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Bibliographic Details
Main Authors:	Vijayakumar Bharathi S, Dhanya Pramod, Ramakrishnan Raman
Format:	Article
Language:	English
Published:	MDPI AG 2022-05-01
Series:	Data
Subjects:	retail banking customer churn machine learning young adults ensemble model digital
Online Access:	https://www.mdpi.com/2306-5729/7/5/61

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