Which machine learning algorithm is LEAST effective for retail customer churn prediction when dealing with large datasets containing multiple non-linear interactions?

Customer churn prediction is a critical component of modern retail strategy. The ability to identify customers at risk of leaving can save businesses millions in revenue. This trivia tests your knowledge about the advanced analytics techniques retailers use to predict and prevent customer attrition. Do you understand the metrics, methodologies, and technologies that power effective churn prediction in today's competitive retail landscape?

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Logistic Regression
Random Forest
Gradient Boosting Machines
Deep Neural Networks