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, Türkiye, 21 - 22 Haziran 2022, ss.1-2

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1-2
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

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.