The permutation filter randomly permutes the values of a single feature in a
mlr3::Task to break the association with the response. The permutated
feature, together with the unmodified features, is used to perform a
mlr3::resample(). The permutation filter score is the difference between
the aggregated performance of the mlr3::Measure and the performance
estimated on the unmodified mlr3::Task.
Standardize feature importance by maximum score.
Create a FilterPermutation object.
The objects of this class are cloneable with this method.
FilterPermutation$clone(deep = FALSE)
Whether to make a deep clone.