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.
| Author | Théophile Bastian <contact@tobast.fr> and Noémie Fong |
|---|---|
| License | LGPL-2.0-or-later |
| Published | |
| Homepage | https://github.com/tobast/ORandForest |
| Issue Tracker | https://github.com/tobast/ORandForest/issues |
| Maintainer | contact@tobast.fr |
| Dependencies | |
| Source [http] | https://github.com/tobast/ORandForest/archive/v1.0.0.tar.gz sha256=ecb0d2944c1a5d48f4bc6e219643e12430ec0c27b5ff2219e8e9cb55c813c8ab md5=c4db62f8692d06e6fe0eea8f7d4d791e |
| Edit | https://github.com/ocaml/opam-repository/tree/master/packages/orandforest/orandforest.1.0.0/opam |
No package is dependent
