## ADtreesLogit model for customer churn prediction.(English)Zbl 1179.90037

Summary: We propose ADTreesLogit, a model that integrates the advantage of ADTrees model and the logistic regression model, to improve the predictive accuracy and interpretability of existing churn prediction models. We show that the overall predictive accuracy of ADTreesLogit model compares favorably with that of TreeNet$$\circledR$$, a model which won the Gold Prize in the 2003 mobile customer churn prediction modeling contest (The Duke/NCR Teradata Churn Modeling Tournament). In fact, ADTreesLogit has better predictive accuracy than TreeNet$$\circledR$$ on two important observation points.

### MSC:

 90B06 Transportation, logistics and supply chain management 91B42 Consumer behavior, demand theory 90B90 Case-oriented studies in operations research

### Keywords:

ADTrees; customer churn; data mining; logistic regression