package orandforest

  1. Overview
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A random forest classifier based on OC4.5.

Install

github.com Edit opam file

Authors

  1. T
    Théophile Bastian <contact@tobast.fr> and Noémie Fong

Maintainers

  1. C
    contact@tobast.fr

Sources

v1.0.0.tar.gz
md5=c4db62f8692d06e6fe0eea8f7d4d791e

Description

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.

Published: 15 Feb 2018

Dependencies (4)

  1. parmap
  2. oc45
  3. jbuilder >= "1.0+beta7"
  4. ocaml

Dev Dependencies

None

Used by

None

Conflicts

None