ClassificationModulesExamples/RandomForestsExample/RandomForestsExample.cpp

This class implements a Random Decision Forest classifier.

Author

Nicholas Gillian ngill.nosp@m.ian@.nosp@m.media.nosp@m..mit.nosp@m..edu

Version

1.0

Random Forests are an ensemble learning method that operate by building a number of decision trees at training time and outputting the class with the majority vote over all the trees in the ensemble.

Remarks

This implementation is based on Breiman, Leo. "Random forests." Machine learning 45, no. 1 (2001): 5-32.