articleJournal of Machine Learning ResearchApr 1, 2012Closed access

Analysis of a random forests model

Abstract

Random forests are a scheme proposed by Leo Breiman in the 2000's for building a predictor ensemble with a set of decision trees that grow in randomly selected subspaces of data. Despite growing in...

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Topics & keywords

Keywords
  • Random forest
  • Linear subspace
  • Decision tree
  • Computer science
  • Scheme (mathematics)
  • Set (abstract data type)
  • Ensemble learning
  • Artificial intelligence
UN Sustainable Development Goals
  • Life in Land
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