GNU R package implementing the random forest classificator
DescriptionRandomForest 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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Install this software package
If the package is available for the distribution you are currently using on your computer then install the software by clicking on…Install r-cran-randomforest