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Analysis of Customer Churn Prediction in Telecom Sector Using CART Algorithm

  • Sandeep RaiEmail author
  • Nikita Khandelwal
  • Rajesh Boghey
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1045)

Abstract

Predicting client churn in telecommunication industries becomes the most significant topic for analysis in recent years. Because its helps in detecting which customer are likely to change or cancel their subscription to a service. Analysis of information that is extracted from telecommunication companies will help to seek out the explanations of client churn and also uses the knowledge to retain the purchasers. Thus, predicting churn is extremely necessary for telecommunication firms to retain their customers. During this paper, we have designed the classification model using call tree, evaluated the performance measures, and compared its performance with logistic regression model.

Keywords

Classification Churn prediction Telecom data Logistic regression model Customer retention CART algorithm 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringTechnocrats Institute of Technology (Excellence)BhopalIndia

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