TreeLogit Model for Customer Churn Prediction

摘要：

For the purpose of improving the predictive accuracy and interpretability of churn prediction model, TreeLogit model, which integrates the advantage of ADTree model and Logistic regression model, is proposed in this paper to predict customers churn propensities. Compared with TreeNet(R), a model which won the Gold Prize in the 2003 mobile customer churn prediction modeling contest (The Duke/NCR Teradata Churn Modeling Tournament) , the overall predictive accuracy of TreeLogit model is not inferior. In fact, the predictive accuracy of TreeLogit is superior to the one of TreeNet(R) on two important observation points (i.e. the captured rates in 10％ and 50％ of the most likely churn groups respectively).

作者: Jiayin Qi Yangming Zhang Yingying Zhang Shuang Shi

作者单位: Economics and Management School, Beijing University of Posts and Telecommunications

会议类型: 国际会议

会议名称: 2006 Asia-Pacific Services Computing Conference(IEEE亚太地区服务计算会议)

会议地点: 广州

会议语种:英文

页码: 70-75

在线出版日期: 2006-12-12（万方平台首次上网日期，不代表论文的发表时间）