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• [P290] The Study on Feature Selection in Customer Churn Prediction Modeling
  Author(s): Yin Wu, Jiayin Qi, Chen Wang
  
  

  Abstract
  When the customer churn prediction model is built, a large number of features bring heavy burdens to the model and even decrease the accuracy. This paper is aimed to review the feature selection, to compare the algorithms from different fields and to design a framework of feature selection for customer churn prediction. Based on the framework, the author experiment on the structured module with some telecom operator's marketing data to verify the efficiency of the feature selection framework.

  
   

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