Which mathematical technique is most commonly used in retail customer churn prediction models to identify the probability of a customer leaving based on multiple variables?

In today's data-driven retail environment, mathematical models power the intelligent systems that help businesses understand customer behavior and optimize operations. This poll tests your knowledge of how advanced mathematical concepts are applied in modern retail analytics to predict customer churn - one of the most critical metrics for sustainable business growth.

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Logistic Regression
Fourier Transforms
Differential Calculus
Euclidean Geometry