Predictive Churn Modeling for Sustainable Business in the Telecommunication Industry: Optimized Weighted Ensemble Machine Learning
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DOI: 10.3390/su15118631
Abstract: Customers are prominent resources in every business for its sustainability. Therefore, predicting customer churn is significant for reducing churn, particularly in the high-churn-rate telecommunications business. To identify customers at risk of churning, tactical marketing actions… read more here.
Keywords: weighted ensemble; business; machine learning; optimized weighted ... See more keywords