DocumentCode :
2966157
Title :
TreeLogit Model for Customer Churn Prediction
Author :
Qi, Jiayin ; Zhang, Yangming ; Zhang, Yingying ; Shi, Shuang
Author_Institution :
Econ. & Manage. Sch., Beijing Univ. of Posts & Telecommun.
fYear :
2006
fDate :
12-15 Dec. 2006
Firstpage :
70
Lastpage :
75
Abstract :
For the purpose of improving the predictive accuracy and interpret ability of churn prediction model, TreeLogit model, which integrates the advantage of AD tree model and logistic regression model, is proposed in this paper to predict customers´ churn propensities. Compared with TreeNetreg, 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 TreeNetreg on two important observation points (i.e. the captured rates in 10% and 50% of the most likely churn groups respectively)
Keywords :
consumer behaviour; decision trees; regression analysis; AD tree model; TreeLogit model; customer churn prediction; logistic regression model; Accuracy; Boosting; Classification tree analysis; Decision trees; Economic forecasting; Equations; Information analysis; Logistics; Predictive models; Regression tree analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2006. APSCC '06. IEEE Asia-Pacific Conference on
Conference_Location :
Guangzhou, Guangdong
Print_ISBN :
0-7695-2751-5
Type :
conf
DOI :
10.1109/APSCC.2006.111
Filename :
4041214
Link To Document :
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