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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1Topics & 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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