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Volume 12 Issue 07
July 2026
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Author(s)
Vasavi Mekala Haneef Mohammad Kamal Deepak Pedapalli Varshitha Lingamaneni V Rashmi
Abstract
Customer Churn Prediction Is A Critical Challenge In The Telecom Industry, Where Retaining Existing Customers Is More Cost-effective Than Acquiring New Ones. This Paper Explores The Development Of A Churn Prediction Model Using Machine Learning Techniques
Keywords
Churn Prediction
Telecom Industry
Machine Learning
Artificial Neural Networks
Feature Selection
Customer Retention
HPMANN
SVM
KNN
Data Preprocessing
Accuracy
Precision
Recall.
Paper ID
IJSARTV11I2102685
Publication Date
February 14, 2025
Research Area
Information Technology