The Explanation of Support Vector Machine in Customer Churn Prediction

In this paper, an explainable prediction model is established to select the optimum features and parameters, then the selected optimum parameters are applied to predicting potential customer churning in one foreign telecom company, discovering that the model not only achieves a desirable prediction...

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Bibliographic Details
Published in2010 International Conference on E-Product E-Service and E-Entertainment pp. 1 - 4
Main Authors Li Yi, Xia Guo-en
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2010
Subjects
Accuracy
Biological system modeling
Data models
Mathematical model
Prediction algorithms
Predictive models
Support vector machines
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Summary:In this paper, an explainable prediction model is established to select the optimum features and parameters, then the selected optimum parameters are applied to predicting potential customer churning in one foreign telecom company, discovering that the model not only achieves a desirable prediction but is also explainable through selected features, and that a balanced relation between accuracy and explaining of customer churn prediction model as well as that a unified structural frame for customer churn prediction model is thus established.
ISBN:9781424471591
1424471591
DOI:10.1109/ICEEE.2010.5660501