The Impact of Bootstrap Sampling Rate on Random Forest Performance in Regression Tasks

Michał Iwaniuk, Mateusz Jarosz, Bartłomiej Borycki +4

Random Forests (RFs) typically train each tree on a bootstrap sample of the same size as the training set, i.e., bootstrap rate (BR) equals 1.0. We systematically examine how varyi…