Which mathematical technique revolutionized retail churn prediction by effectively handling the non-linear relationships in customer behavior data?

Customer churn prediction has become a critical application of mathematics in retail analytics. Sophisticated mathematical models help retailers identify which customers are likely to stop purchasing, allowing for targeted retention efforts. These models analyze patterns in purchase history, engagement metrics, and demographic data to generate probability scores for customer attrition. How well do you understand the mathematical foundations behind modern retail churn prediction systems?

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Random Forest Ensemble Methods
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Principal Component Regression