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Concept information

... > entity > continuant > generically dependent continuant > information content entity > directive information entity > plan specification > algorithm > classification algorithm > decision tree > random forest

Preferred term

random forest  

Definition

  • Random forests are an ensemble learning method for classification, regression and other tasks that operates by constructing a multitude of decision trees at training time. For classification tasks, the output of the random forest is the class selected by most trees. (wikipedia, retrieved on 2021/07/07).

Broader concept

Entry terms

  • random decision forest

Bibliographic citation(s)

  • • Ho, T.K. (1995) Random Decision Forest. Proceedings of the 3rd International Conference on Document Analysis and Recognition, Montreal, 14-16 August 1995, 278-282.

is implemented by

In other languages

  • forêt aléatoire

    French

  • forêt d'arbres décisionnels
  • forêt de décision aléatoire

URI

http://data.loterre.fr/ark:/67375/LTK-N25LJWDJ-T

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