A customer churn prediction using KNN algorithm and logistic regression with Python


Karaaslan M. F. , Büyükdoğan N. Y.

6th International Conference on Mathematics: An Istanbul Meeting for World Mathematicians, İstanbul, Turkey, 21 - 22 June 2022, pp.1-2

  • Publication Type: Conference Paper / Summary Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.1-2

Abstract

In this work, customer churn analysis is performed using Logistic Regression and KNN Algorithm on customer data of the telecommunication sector. A machine learning model has been developed that can predict the profile of the customers who will leave the company. As a result, it is concluded that the best estimation model is the one in which the ADASYN sampling method is used.