Churn Prediction for Game Industry Based on Cohort Classification Ensemble

Evgenii Tsymbalov

MPRA Paper from University Library of Munich, Germany

Abstract: In this paper, we present a cohort-based classification approach to the churn prediction for social on-line games. The original metric is proposed and tested on real data showing a good increase in revenue by churn preventing. The core of the approach contains such components as tree-based ensemble classifiers and threshold optimization by decision boundary.

Keywords: Churn prediction; ensemble classification; cohort-based prediction; on-line games; game analytics (search for similar items in EconPapers)
JEL-codes: C91 L86 (search for similar items in EconPapers)
Date: 2016-07-18
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Published in CEUR Workshop Proceeding Experimental Economics and Machine Learning.1627(2016): pp. 94-100

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:82871

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