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Boruta

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).

Functions (14)

Boruta

Feature selection with the Boruta algorithm

TentativeRoughFix

Rough fix of Tentative attributes

attStats

Extract attribute statistics

getFormulae

Export Boruta result as a formula

getImpExtra

ranger Extra-trees importance adapters

getImpFerns

Random Ferns importance

getImpLegacyRf

randomForest importance adapters

getImpRf

ranger Random Forest importance adapters

getImpXgboost

Xgboost importance

getSelectedAttributes

Extract names of the selected attributes

plot.Boruta

Plot Boruta object

plotImpHistory

Plot Boruta object as importance history

print.Boruta

Print Boruta object

srx

Small redundant XOR data

Boruta

Wrapper Algorithm for All Relevant Feature Selection

v7.0.0

GPL (>= 2)

Authors

Miron Bartosz Kursa [aut, cre] (<https://orcid.org/0000-0001-7672-648X>), Witold Remigiusz Rudnicki [aut]

Initial release

Boruta

Functions (14)

Boruta

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