ADTreesLogit model for customer churn prediction

被引：0

作者：

Jiayin Qi

Li Zhang

Yanping Liu

Ling Li

Yongpin Zhou

Yao Shen

Liang Liang

Huaizu Li

机构：

[1] Beijing University of Posts and Telecommunications,School of Economics and Management

[2] Beijing Jiaotong University,School of Economics and Management

[3] Old Dominion University,Department of Information Technology and Decision Science

[4] Shanghai University,College of International Business and Management

[5] University of Science and Technology of China,School of Management

[6] University of Alberta,School of Business

来源：

Annals of Operations Research | 2009年 / 168卷

关键词：

ADTrees; Customer churn; Data mining; Logistic regression;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

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.

引用

共 50 条

[1] ADTreesLogit model for customer churn prediction
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[J]. ANNALS OF OPERATIONS RESEARCH, 2009, 168 (01) : 247 - 265
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