Which algorithm, developed by computer scientists in 2008, revolutionized retail data analytics by enabling retailers to predict customer purchases with 35% higher accuracy through its unique approach to pattern recognition?

In the realm where science meets retail, data analytics has revolutionized how businesses understand customer behavior. Modern retailers leverage sophisticated algorithms to transform raw data into actionable insights. This poll tests your knowledge about a groundbreaking algorithm that changed the landscape of retail data analytics, allowing for unprecedented pattern recognition in consumer behavior.

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Gradient Boosting Decision Trees (GBDT)
K-means Clustering Algorithm
Random Forest Prediction Model
Neural Network Transformer Architecture