Overview of PAKDD Competition 2007

Overview of PAKDD Competition 2007

Junping Zhang, Guo-Zheng Li
Copyright: © 2008 |Pages: 8
DOI: 10.4018/jdwm.2008040101
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Abstract

The PAKDD Competition 2007 involved the problem of predicting customers’ propensity to take up a home loan when a collection of data from credit card users are provided. It is rather difficult to address the problem because 1) the data set is extremely imbalanced; 2) the features are mixture types; and 3) there are many missing values. This article gives an overview on the competition, mainly consisting of three parts: 1) The background of the database and some statistical results of participants are introduced; 2) An analysis from the viewpoint of data preparation, resampling/reweighting and ensemble learning employed by different participants is given; and 3) Finally, some business insights are highlighted.

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