Which machine learning algorithm was first adapted specifically for retail churn prediction by MIT researchers in 2011, becoming known as the 'Retail Loyalty Predictor'?

In the intersection of data science and retail, predictive analytics has transformed how businesses understand and retain customers. One groundbreaking algorithm has become particularly renowned for its application in retail churn prediction, helping companies identify at-risk customers before they leave. Test your knowledge about this scientific advancement that has saved retailers billions in lost revenue and revolutionized customer retention strategies.

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Random Forest Classification with Behavioral Drift Detection
Neural Network Sentiment Analysis with Purchase Pattern Recognition
Gradient Boosting Decision Trees with Customer Lifecycle Mapping
Support Vector Machines with Transactional Velocity Indicators