An empirical comparison of techniques for the class imbalance problem in churn prediction
An empirical comparison of techniques for the class imbalance problem in churn prediction
复制标题
流失预测中类别不平衡问题技术的实证比较
DOI：
10.1016/j.ins.2017.04.015
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发表时间：
2017-10
影响因子：
8.1
通讯作者：
en Broucke Seppe
中科院分区：
文献类型：
--
作者：
Zhu Bing;Baesens Bart;v;en Broucke Seppe
Class imbalance brings significant challenges to customer churn prediction. Many solutions have been developed to address this issue. In this paper, we comprehensively compare the performance of state-of-the-art techniques to deal with class imbalance in the context of churn prediction. A recently developed expected maximum profit criterion is used as one of the main performance measures to offer more insights from the perspective of cost-benefit. The experimental results show that the applied evaluation metric has a great impact on the performance of techniques. An in-depth exploration of reaction patterns to different measures is conducted by intra-family comparison within each solution group and global comparison among the representative techniques from different groups. The results also indicate there is much space to improve solutions’ performance in terms of profit-based measure. Our study offers valuable insights for academics and professionals and it also provides a baseline to develop new methods for dealing with class imbalance in churn prediction.
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影响因子：
4.4
作者：
Yang P;Xu L;Zhou BB;Zhang Z;Zomaya AY
通讯作者：
Zomaya AY
DOI：
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发表时间：
1997
期刊：
--
影响因子：
--
作者：
M. Kubát;S. Matwin
通讯作者：
M. Kubát;S. Matwin
DOI：
10.1016/j.eswa.2008.06.108
发表时间：
2009-04
期刊：
Expert Syst. Appl.
影响因子：
--
作者：
Show-Jane Yen;Yue-Shi Lee
通讯作者：
Show-Jane Yen;Yue-Shi Lee
影响因子：
10.3
作者：
Ali Tamaddoni Jahromi;Stanislav Stakhovych;M. Ewing
通讯作者：
Ali Tamaddoni Jahromi;Stanislav Stakhovych;M. Ewing
DOI：
10.1016/j.asoc.2013.09.017
发表时间：
2014
期刊：
Appl. Soft Comput.
影响因子：
--
作者：
W. Verbeke;David Martens;B. Baesens
通讯作者：
W. Verbeke;David Martens;B. Baesens