Which mathematical algorithm was the first to be widely adopted by major retailers for customer churn prediction in the early 2010s?

The retail industry has been transformed by mathematical models that help predict customer behavior. Sophisticated algorithms now power systems that can forecast which customers might leave a service (churn), helping companies take preemptive action. This poll tests your knowledge about a groundbreaking mathematical approach that revolutionized retail churn prediction analytics.

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Random Forest Classification
Neural Network Regression
K-Nearest Neighbors Clustering
Gaussian Mixture Models