Predicting customer churn rate with machine learning, for use in customer lifetime value calculations in the telecommunications industry
In the rapidly evolving telecommunications industry, customer retention is crucial for maintaining profitability. This report investigates the performance of various machine learning models in predicting customer churn rates, which are integral to calculating Customer Lifetime Value (CLV). The focus is on a comparative analysis of several models including logistic regression, ridge regression, las