IPSJ SIG Technical Report 1 tree forest Leo Breiman 2001 Random Forests Hitoshi Habe1 Abstract: Random Forests is a machine learning framework that consists of many decision trees. It can be categorized as an ensemble classifier in which each decision tree performs as a weak classifier. Since it was originally developed by Leo Breiman in 2001, it has been applied to various application scenarios inc