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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).
Version: | 8.0.0 |
Imports: | ranger |
Suggests: | mlbench, rFerns, randomForest, testthat, xgboost, survival |
Published: | 2022-11-12 |
DOI: | 10.32614/CRAN.package.Boruta |
Author: | Miron Bartosz Kursa
|
Maintainer: | Miron Bartosz Kursa <M.Kursa at icm.edu.pl> |
BugReports: | https://gitlab.com/mbq/Boruta/-/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://gitlab.com/mbq/Boruta/ |
NeedsCompilation: | no |
Citation: | Boruta citation info |
Materials: | NEWS |
In views: | MachineLearning |
CRAN checks: | Boruta results |
Reference manual: | Boruta.pdf |
Vignettes: |
Boruta for those in a hurry Importance transdapters |
Package source: | Boruta_8.0.0.tar.gz |
Windows binaries: | r-devel: Boruta_8.0.0.zip, r-release: Boruta_8.0.0.zip, r-oldrel: Boruta_8.0.0.zip |
macOS binaries: | r-release (arm64): Boruta_8.0.0.tgz, r-oldrel (arm64): Boruta_8.0.0.tgz, r-release (x86_64): Boruta_8.0.0.tgz, r-oldrel (x86_64): Boruta_8.0.0.tgz |
Old sources: | Boruta archive |
Reverse imports: | CompositionalML, HDStIM, multiclassPairs, SISIR |
Reverse suggests: | finnts, fscaret, mlr3filters, nestedcv, varrank |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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