selFreq: Predictor Selection Frequency in Random Forests
In permimp: Conditional Permutation Importance

Description Usage Arguments Details Value See Also Examples

View source: R/selFreq.R

counts how many times each predictor variable was selected for splitting in a random forest. Only implemented for cforest form the party package.

1 2	selFreq(object, whichxnames = NULL)

`object`	an object as returned by `cforest`.
`whichxnames`	a character vector containing the predictor variable names that for which the permutation importance should be computed. See section 'Details'.

Function selFreq counts how many times each predictor variable was selected for splitting in a random forest. In the current implementation this selFreq can only be applied to random forests as returned by cforest.

An object of class VarImp, with as $values the mean of the sum of the selection frequencies across the trees.

VarImp,

    
  set.seed(290875)
  readingSkills.cf <- party::cforest(score ~ ., data = party::readingSkills, 
                              control = party::cforest_unbiased(mtry = 2, ntree = 100))
  
  ## Selection Frequency
  selFreq(readingSkills.cf)