A Solution to the Cross-Selling Problem of PAKDD-2007: Ensemble Model of TreeNet and Logistic Regression

A Solution to the Cross-Selling Problem of PAKDD-2007: Ensemble Model of TreeNet and Logistic Regression

Wei Mingjun (Zhejiang University and Sherpa Consulting, China), Chai Lei (Sherpa Consulting, China), Wei Renying (China Mobile Group Zhejiang Co., China) and Huo Wang (China Mobile Group Zhejiang Co., China)
DOI: 10.4018/978-1-60566-717-1.ch016
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Abstract

Our team has won the Grand Champion (Tie) of PAKDD-2007 data mining competition. The data mining task is to score credit card customers of a consumer finance company according to the likelihood that customers take up the home loans offered by the company. This report presents our solution for this business problem. TreeNet and logistic regression are the data mining algorithms used in this project. The final score is based on the cross-algorithm ensemble of two within-algorithm ensembles of TreeNet and logistic regression. Finally, some discussions from our solution are presented.

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