Which mathematical technique is NOT commonly used in retail customer churn prediction models?

In today's data-driven retail environment, mathematics plays a crucial role in predicting customer behavior and preventing revenue loss. Advanced algorithms and statistical models have revolutionized how retailers understand and respond to customer churn patterns. This poll tests your knowledge of how mathematical models are specifically applied in the retail churn prediction space, where preventing a customer from leaving can be far more cost-effective than acquiring new ones.

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Markov Chain Analysis
Fractal Dimension Calculation
Logistic Regression
Random Forest Classification