Which mathematical technique has shown the highest accuracy in retail customer churn prediction according to a 2023 MIT study on predictive analytics?

The intersection of mathematics and retail has revolutionized how businesses forecast trends and make decisions. Advanced mathematical models now power everything from inventory management to customer behavior prediction. This trivia question explores how specific mathematical techniques are being applied to one of retail's most critical challenges - customer retention and churn prediction.

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Random Forest algorithms with hyperparameter optimization
Linear regression models with seasonal decomposition
K-means clustering with purchase frequency variables
Markov chain models with recency-frequency-monetary inputs