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Improvised_XgBoost Machine learning Algorithm for Customer Churn Prediction
2018
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The Customer retention has become one of the major issues for the service-based company such as telecom industry; where predictive model to observe customer, behavior is one of the efficient methods in the customer retention process. In this research work, Improvised_XGBoost churn prediction model with feature functions is proposed, the main aim of this model is to predict the customer churn rate. Improvised_XGBoost algorithm is a feature-based machine learning classifier which can be used for
doi:10.4108/eai.13-7-2018.164854
fatcat:pkwopkuz4va6fplglscit447eu