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varImp

Random forest variable importance for arbitrary measures of the measures package, which contains the biggest collection of measures for regression and classification in R.

Installation

The development version

devtools::install_github("mlr-org/measures")
devtools::install_github("PhilippPro/varImp")
iris.cf <- cforest(Species ~ ., data = iris, control = cforest_unbiased(mtry = 2, ntree = 50))
varImp(object = iris.cf, measure = "multiclass.Brier")
varImpACC(object = iris.cf)
varImpAUC(object = iris.cf)

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Version

Install

install.packages('varImp')

Monthly Downloads

1,048

Version

0.1

License

GPL-3

Maintainer

Philipp Probst

Last Published

July 13th, 2018

Functions in varImp (0.1)

varImp

varImp
varImpAUC

varImpAUC
varImpACC

varImpACC