Which machine learning approach revolutionized retail churn prediction by improving accuracy by over 30% compared to traditional statistical methods?

In the rapidly evolving world of retail, data analytics has transformed how businesses understand customer behavior and make decisions. This trivia question focuses on a significant technological advancement that revolutionized retail data analytics in the past decade. Test your knowledge of how science and retail have intersected to create more powerful predictive models and customer insights. Do you know which innovation dramatically changed the retail analytics landscape?

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Gradient Boosting Decision Trees (XGBoost, LightGBM)
Simple Recurrent Neural Networks (RNNs)
K-means Clustering Algorithms
Bayesian Inference Models