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- Boruta_(algorithm) abstract "Boruta is an algorithm in the field of machine-learning, and more specifically,a feature-selection algorithm.The aim of the algorithm as presented in the original paper describing it is tofind all relevant features (compare with minimal-optimal features set). The Boruta algorithm is not a stand-alone algorithm,but is implemented as a wrapper algorithm around the random-forest classification algorithm.In its essence, Boruta works in an iterative manner, and in each iteration theaim is to remove features which according to a statistical test, are less relevant than whatis defined by the authors as a random probe.One of the fundamental components of Boruta is the use of shadow attributes.Shadow attributes are pseudo-features that are added to the information system,and produced by taking existing features from the original data-set and shuffling the valuesof those features between the original samples (data points).After generating the shadow attributes the procedure proceeds with building random-foresttrees and comparing the Z-scores obtained by original features to Z-scores obtained by the shadow attributes.This comparison is the foundation for Boruta to decide whether a feature is important or not. High level pseudo-code:1. Copy all variables (features)2. Shuffle values in each feature3. Run random-forest on the extended system (shuffled features), gather Z scores4. Find maximum MSZA (max Z-score among shadow attributes)5. Run random-forest on original features6. Assign each original feature a hit if feature Z-score > MSZA7. If Z-score <= MSZA, perform two-side equality test against MSZA8. If Z-score < MSZA significantly, drop feature as unimportant9. If Z-score > MSZA significantly, keep feature as important 10. Repeat from step 5 until all importance is determined for all features or max RF runs have been reached".
- Boruta_(algorithm) wikiPageExternalLink Boruta.pdf.
- Boruta_(algorithm) wikiPageID "43959130".
- Boruta_(algorithm) wikiPageRevisionID "641713724".
- Boruta_(algorithm) subject Category:Classification_algorithms.
- Boruta_(algorithm) subject Category:Decision_trees.
- Boruta_(algorithm) subject Category:Ensemble_learning.
- Boruta_(algorithm) comment "Boruta is an algorithm in the field of machine-learning, and more specifically,a feature-selection algorithm.The aim of the algorithm as presented in the original paper describing it is tofind all relevant features (compare with minimal-optimal features set).".
- Boruta_(algorithm) label "Boruta (algorithm)".
- Boruta_(algorithm) sameAs m.0120wzyn.
- Boruta_(algorithm) sameAs Q18205593.
- Boruta_(algorithm) sameAs Q18205593.
- Boruta_(algorithm) wasDerivedFrom Boruta_(algorithm)?oldid=641713724.
- Boruta_(algorithm) isPrimaryTopicOf Boruta_(algorithm).