Which mathematical model revolutionized retail customer churn prediction by using non-linear decision boundaries to identify at-risk customers with greater accuracy than traditional linear models?

In the world of retail mathematics, predictive analytics has revolutionized how businesses forecast customer behavior and optimize operations. Advanced algorithms now help retailers make data-driven decisions about everything from inventory management to personalized marketing. This poll tests your knowledge about a key mathematical model that transformed retail churn prediction and customer retention strategies.

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Support Vector Machines (SVM)
Simple Linear Regression
Naive Bayes Classifier
ARIMA Time Series Model