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Boruta (version 5.2.0)

Wrapper Algorithm for All Relevant Feature Selection

Description

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.

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Version

Install

install.packages('Boruta')

Monthly Downloads

5,281

Version

5.2.0

License

GPL (>= 2)

Maintainer

Miron Kursa

Last Published

January 27th, 2017

Functions in Boruta (5.2.0)

getImpFerns

Random Ferns importance
plot.Boruta

Plot Boruta object
getConfirmedFormula

Export Boruta result as a formula
getImpRf

ranger Random Forest importance adapters
plotImpHistory

Plot Boruta object as importance history
print.Boruta

Print Boruta object
attStats

Extract attribute statistics
Boruta

Feature selection with the Boruta algorithm
TentativeRoughFix

Rough fix of Tentative attributes
getSelectedAttributes

Extract names of the selected attributes
getImpLegacyRf

randomForest importance adapters