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

Author

Listed:
  • Mingjun Wei

    (Zhejiang University and Sherpa Consulting, China)

  • Lei Chai

    (Sherpa Consulting, China)

  • Renying Wei

    (China Mobile Group Zhejiang Co., China)

  • Wang Huo

    (China Mobile Group Zhejiang Co., China)

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.

Suggested Citation

  • Mingjun Wei & Lei Chai & Renying Wei & Wang Huo, 2008. "A Solution to the Cross-Selling Problem of PAKDD-2007: Ensemble Model of TreeNet and Logistic Regression," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 4(2), pages 9-14, April.
    • Handle: RePEc:igg:jdwm00:v:4:y:2008:i:2:p:9-14
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