Which mathematical model is MOST widely used as the foundation for retail customer churn prediction algorithms due to its ability to handle non-linear relationships in customer behavior data?

Customer churn prediction is a critical component of retail analytics that helps businesses identify customers at risk of leaving. Advanced mathematical models have revolutionized how retailers approach this challenge. This poll tests your knowledge about the mathematical foundations behind modern retail churn prediction systems that are transforming customer retention strategies across the industry.

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Random Forest
Linear Regression
Markov Chain Monte Carlo
Fourier Transform Analysis