Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis

Hyperparameter Optimization and Combined Data Sampling Techniques in Machine Learning for Customer Churn Prediction: A Comparative Analysis

This paper explores the application of various machine learning techniques for predicting customer churn in the telecommunications sector. We utilized a publicly accessible dataset and implemented several models, including Artificial Neural Networks, Decision Trees, Support Vector Machines, Random F...

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Bibliographic Details
Main Authors: Mehdi Imani, Hamid Reza Arabnia
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Technologies
Subjects:
machine learning
churn prediction
imbalanced data
combined data sampling techniques
hyperparameter optimization
Online Access:https://www.mdpi.com/2227-7080/11/6/167

Internet

https://www.mdpi.com/2227-7080/11/6/167

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