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2009 Fifth International Joint Conference on INC, IMS and IDC
CostBP Algorithm and its Application in Customer Churn Prediction
Seoul, Korea
August 25-August 27
ISBN: 978-0-7695-3769-6
For data sets of customer churn are imbalanced, it’s hard for classical BP neural network to make goodclassification. This paper proposes an improved BP algorithm, namely CostBP. CostBP modifies the error function into cost-based error function, based on which error propagation is conducted. The experimental results showed that CostBP can minimize total misclassification cost and was effective in prediction of minority class.
Index Terms:
imbalanced data sets, CostBP, churn prediction
Citation:
Yan-jie Dong, Xue-hua Wang, Jun Zhou, "CostBP Algorithm and its Application in Customer Churn Prediction," ncm, pp.794-797, 2009 Fifth International Joint Conference on INC, IMS and IDC, 2009
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