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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
