Which mathematical algorithm is MOST commonly used in retail churn prediction models to classify customers as 'likely to churn' or 'likely to remain'?

In the retail industry, mathematics plays a crucial role in understanding and predicting customer behavior patterns. Advanced statistical models help retailers identify customers at risk of churning and develop targeted retention strategies. This poll tests your knowledge of how mathematical concepts are applied in retail analytics to prevent customer churn.

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Logistic Regression
Fourier Transform
Laplace Equations
Newton's Method