The Rulefit algorithm is a machine learning technique that combines decision trees and linear models to generate interpretable predictions, making it a valuable tool for researchers and data scientists seeking to understand complex data relationships. By extracting rules from decision trees and weighting them using a linear model, Rulefit provides a transparent and explainable approach to predictive modeling, which is particularly relevant in high-stakes applications where model interpretability is crucial.
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