Autoencoder Based Churn Prediction In Telcom Using Machine Learning

• Author(s):

  Vasavi Mekala | Haneef Mohammad | Kamal Deepak Pedapalli | Varshitha Lingamaneni | V Rashmi

• Keywords:

  Churn Prediction, Telecom Industry, Machine Learning, Artificial Neural Networks, Feature Selection, Customer Retention, HPMANN, SVM, KNN, Data Preprocessing, Accuracy, Precision, Recall.

• 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

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Other Details

• Paper id:

  IJSARTV11I2102685

• Published in:

  Volume: 11 Issue: 2 February 2025

• Publication Date:

  2025-02-14

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