A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

Arno de Caigny; Kristof Coussement; Koen W. de Bock

doi:10.1016/j.ejor.2018.02.009

Journal articles

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

Arno de Caigny ¹ Kristof Coussement ¹ Koen W. de Bock ²

1 IESEG - School of Management (LEM)

2 Audencia Recherche

Document type :

Journal articles

Domain :

Humanities and Social Sciences / Business administration

Statistics [stat] / Machine Learning [stat.ML]

Humanities and Social Sciences / Methods and statistics

Complete list of metadata

https://hal-audencia.archives-ouvertes.fr/hal-01741661
Contributor : Koen W. de Bock Connect in order to contact the contributor
Submitted on : Friday, March 23, 2018 - 12:57:09 PM
Last modification on : Wednesday, October 14, 2020 - 6:24:01 PM

A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

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A new hybrid classification algorithm for customer churn prediction based on logistic regression and decision trees

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