Random forest versus logistic regression: a large-scale benchmark experiment

Article, Research English OPEN
Raphael Couronné; Philipp Probst; Anne-Laure Boulesteix;

Background and goal The Random Forest (RF) algorithm for regression and classification has considerably gained popularity since its introduction in 2001. Meanwhile, it has grown to a standard classification approach competing with logistic regression in many innovation-... View more
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