orandforestversion

A random forest classifier based on OC4.5.

Random forests are an ensemble learning method for classification and regression. Random forests correct decision trees' habit of over-fitting to their training set. Cf. "Breiman, Leo, 2001. Random forests. Machine learning, 45(1), pp.5-32" for details.

AuthorThéophile Bastian <contact@tobast.fr> and Noémie Fong
LicenseLGPL
Published
Homepagehttps://github.com/tobast/ORandForest
Issue Trackerhttps://github.com/tobast/ORandForest/issues
Maintainercontact@tobast.fr
Dependencies
Source [http] https://github.com/tobast/ORandForest/archive/v1.0.0.tar.gz
md5=c4db62f8692d06e6fe0eea8f7d4d791e
StatisticsNot installed in the last month.
Edithttps://github.com/ocaml/opam-repository/tree/master/packages/orandforest/orandforest.1.0.0/opam
No package is dependent