Munich Personal RePEc Archive

Churn Prediction for Game Industry Based on Cohort Classification Ensemble

Tsymbalov, Evgenii (2016): Churn Prediction for Game Industry Based on Cohort Classification Ensemble. Published in: CEUR Workshop Proceeding , Vol. 1627, No. Experimental Economics and Machine Learning (25 July 2016): pp. 94-100.

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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.

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