Which mathematical model significantly improved retail churn prediction accuracy by introducing the concept of 'survival analysis' to customer behavior modeling?

The retail industry increasingly relies on advanced mathematical models for predicting customer behavior. Sophisticated algorithms can now forecast purchasing patterns, identify at-risk customers, and provide actionable insights to reduce churn. This poll tests your knowledge about a groundbreaking mathematical approach that revolutionized how retailers predict customer churn.

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Cox Proportional Hazards Model
Random Forest Classifier
Markov Chain Monte Carlo
K-Means Clustering Algorithm