ADTreesLogit model for customer churn prediction |
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| Authors: | Jiayin Qi Li Zhang Yanping Liu Ling Li Yongpin Zhou Yao Shen Liang Liang Huaizu Li |
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| Institution: | 1.School of Economics and Management,Beijing University of Posts and Telecommunications,Beijing,China;2.School of Economics and Management,Beijing Jiaotong University,Beijing,China;3.Department of Information Technology and Decision Science,Old Dominion University,Norfolk,USA;4.College of International Business and Management,Shanghai University,Shanghai,China;5.School of Management,University of Science and Technology of China,Hefei,China;6.School of Business,University of Alberta,Edmonton,Canada |
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| Abstract: | In this paper, 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®, 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® on two important observation points. |
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| Keywords: | ADTrees Customer churn Data mining Logistic regression |
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