Which machine learning algorithm is LEAST effective for retail customer churn prediction when dealing with complex non-linear relationships in customer behavior data?

Modern retailers employ sophisticated data science techniques to predict customer behavior and optimize business strategies. Churn prediction specifically helps identify customers at risk of leaving, allowing companies to implement targeted retention strategies. This poll tests your knowledge of how science and analytics intersect in the retail prediction landscape.

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Linear Regression
Random Forest
Gradient Boosting Machines (GBM)
Neural Networks