Wrapper Algorithm for All Relevant Feature Selection

An all relevant feature selection wrapper algorithm. It finds relevant features by comparing original attributes' importance with importance achievable at random, estimated using their permuted copies (shadows).


Reference manual

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install.packages("Boruta")

10.0.0 by Miron Bartosz Kursa, 5 months ago


https://gitlab.com/mbq/Boruta/


Browse source code at https://github.com/cran/Boruta


Authors: Miron Bartosz Kursa [aut, cre] (ORCID: , Witold Remigiusz Rudnicki [aut]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports fru

Suggests rFerns, randomForest, ranger, survival


Imported by CompositionalML, HDStIM, SISIR, multiclassPairs.

Suggested by CrownScorchTLS, MSclassifR, R4VN, UKBAnalytica, corrselect, featR, finnts, fuseMLR, mlr3filters, nestedcv, omicsTools.


See at CRAN