Enhancing Churn Prediction through AdvancedMachine Learning Techniques for ModernEducation in Computer Science

Customer attrition is a major issue that affects the telecom industry as it reduces the company's revenues and the overall customer base.Solving this problem involves the use of accurate prediction models that utilize CRM data and machine learning algorithms.Though several research papers have been written and published on CCP in the telecom industry, the existing models lack reliability and accuracy.The use of sophisticated data mining and machine learning techniques has been widely practised for improving predictive models.Churn prediction models that exist have their problems in terms of accuracy and errors.It is still important to develop more sophisticated models that can work well with large data and give accurate predictions.Therefore, this work aims to offer the OKMSVM model for