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GNU R package implementing the random forest classificator


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.

The technique uses multiple decision trees and combines their individual votes.

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1367 other people were interested in this package here. The newest known version of this software is 4.6-14-2+b1 (Information last updated 1 day ago.)