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Customer Churn Prediction Models in Telecom by altairedon is a document available to read on EtoBox.

What is Customer Churn Prediction Models in Telecom about?

The document discusses customer churn prediction in mobile networks using two models: Logistic Regression and Multilayer Perceptron (MLP). The Logistic Regression model achieved an accuracy of 87.52%, while the MLP model achieved 94.19%, highlighting the importance of predicting churn to enhance customer retention and loyalty. The study emphasizes the need for organizations to proactively address churn through targeted marketing strategies based on predictive analytics.

Author

altairedon

Language

EN