Research on Customers Churn Prediction Model Based on Logistic

Min Jiang; Na Chu; Xiao Ming Bi

doi:10.4028/www.scientific.net/AMR.989-994.1517

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Research on Customers Churn Prediction Model Based...

Research on Customers Churn Prediction Model Based on Logistic

Abstract:

At present, the competition is increasingly fierce between the securities company, whether can effectively prevent the loss of users, reducing loss rate is a difficult problem at present each securities company urgently needs to solve. The model based on the principle of data mining, proposes a prediction method based on Logistic regression algorithm. Prediction model is built based on Logistic regression algorithm and the validity and accuracy of the model is verified by experiment, provides a new method and thinking for the securities company customer churn prediction.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1517-1521

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1517

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Online since:

July 2014

Authors:

Min Jiang*, Na Chu, Xiao Ming Bi

Keywords:

Logistic Regression, Loss of Customers, Model Validation, Prediction Model

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* - Corresponding Author

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