2022
DOI: 10.3390/electronics11203328
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Hybrid Random Forest Survival Model to Predict Customer Membership Dropout

Abstract: Dropout prediction is a problem that must be addressed in various organizations, as retaining customers is generally more profitable than attracting them. Existing approaches address the problem considering a dependent variable representing dropout or non-dropout, without considering the dynamic perspetive that the dropout risk changes over time. To solve this problem, we explore the use of random survival forests combined with clusters, in order to evaluate whether the prediction performance improves. The mod… Show more

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