alexa Churn Prediction using Complaints Data


Journal of Telecommunications System & Management

Author(s): Hadden John, Ruta Dymtr, Tiwari Ashutosh, Roy Rajkumar

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The aim of this paper is to identify the most suitable model for churn prediction based on three different techniques. The paper identifies the variables that affect churn in reverence of customer complaints data and provides a comparative analysis of neural networks, regression trees and regression in their capabilities of predicting customer churn.

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This article was published in Proceedings of world academy of science engineering and technology and referenced in Journal of Telecommunications System & Management

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