random forest

collocation in English

meaningsofrandomandforest

These words are often used together. Click on the links below to explore the meanings. Or,see other collocations withforest.
random
adjective
uk
/ˈræn.dəm/us
/ˈræn.dəm/
happening, done, or chosen by chance rather than according to ...
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forest
noun[C or U]
uk
/ˈfɒr.ɪst/us
/ˈfɔːr.ɪst/
a large area of land covered with trees and plants, usually larger than a wood, or the trees and ...
See more atforest

(Definition ofrandomandforestfrom theCambridge English Dictionary© Cambridge University Press)

Examplesofrandom forest

These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
As an example, therandomforestalgorithm combines random decision trees with bagging to achieve very high classification accuracy.
From
Wikipedia
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By building a regularizedrandomforest, a compact set of non-redundant features can be selected without loss of predictive information.
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Wikipedia
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Therandomforestis another method: it outputs the prediction that is the mode of the predictions output by individual models.
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Wikipedia
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Random subspace method is a generalization of therandomforestalgorithm.
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Wikipedia
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These scores are then used to build arandomforestmachine-learning classifier which will then classify pixels in any given image.
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These data have been used to create arandomforestmodel for melting point prediction which is now available as a free-to-use webservice.
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According to measurements performed on a number of random forests, this refinement yields a performance increase that is consistently comprised between 0 and 10 percent.
From theCambridge English Corpus
According to measurements performed on a number of random forests, this refinement yields a performance increase that is consistently comprised between 20% and 30%.
From theCambridge English Corpus
This research involved the development and comparison of different computational modelling methods including artificial neural networks, support vector machines, random forests and logistical regression.
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Wikipedia
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In recent times, random forests have gained popularity.
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Wikipedia
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Whereas random forests are composed of decision trees, a random subspace classifier can be composed from any underlying classifiers.
From
Wikipedia
This example is from Wikipedia and may be reused under a CC BY-SA license.
These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors.
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Go to the definition ofrandom
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