getImpFerns

data frame of predictors including shadows.

parameters passed to the underlying <code><a rd-options="rFerns" href="/link/rFerns?package=Boruta&version=5.2.0&to=rFerns" data-mini-rdoc="rFerns::rFerns">rFerns</a></code> call; they are relayed from <code>...</code> of <code><a rd-options="" href="/link/Boruta?package=Boruta&version=5.2.0" data-mini-rdoc="Boruta::Boruta">Boruta</a></code>.


This function is intended to be given to a <code>getImp</code> argument of <code><a rd-options="" href="/link/Boruta?package=Boruta&version=5.2.0" data-mini-rdoc="Boruta::Boruta">Boruta</a></code> function to be called by the Boruta algorithm as an importance source.


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.

Miron Kursa

Boruta

Wrapper Algorithm for All Relevant Feature Selection

getImpFerns function

parameters passed to the underlying <code><a rd-options='rFerns' href='rFerns'>rFerns</a></code> call; they are relayed from <code>...</code> of <code><a rd-options='' href='Boruta'>Boruta</a></code>.


This function is intended to be given to a <code>getImp</code> argument of <code><a rd-options='' href='Boruta'>Boruta</a></code> function to be called by the Boruta algorithm as an importance source.


getImpFerns: Random Ferns importance

Description

Usage

Arguments