r-cran-randomforest - 4.6-14-2+b1 main

RandomForest implements Breiman’s random forest algorithm (based on Breiman
and Cutler’s original Fortran code) for classification and regression. It can
also be used in unsupervised mode for assessing proximities among data points.
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The technique uses multiple decision trees and combines their individual
votes.