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

•A new hybrid algorithm (logit leaf model) is proposed for customer churn prediction.•It is designed to perform well in terms of both accuracy and interpretability.•Its competitive performance is apparent from an extensive benchmarking experiment.•Its ability to deliver actionable insights is demons...

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Veröffentlicht in:	European journal of operational research Jg. 269; H. 2; S. 760 - 772
Hauptverfasser:	De Caigny, Arno, Coussement, Kristof, De Bock, Koen W.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2018 Elsevier
Schlagworte:	Business administration Customer churn prediction Humanities and Social Sciences Hybrid algorithm Logit leaf model Machine Learning Methods and statistics OR in marketing Predictive analytics Statistics OR in marketing Customer churn prediction Logit leaf model Predictive analytics Hybrid algorithm
ISSN:	0377-2217, 1872-6860
Online-Zugang:	Volltext
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