measureFeatureImportance: Measures the Feature Importance Measures the drop in...

In giuseppec/featureImportance: Model-agnostic feature importance with the mlr package

Description

Measures the Feature Importance Measures the drop in performance between permuted and unpermuted features w.r.t. a function.

Usage

measureFeatureImportance(permuted.perf, unpermuted.perf, importance.fun = NULL)

Arguments

permuted.perf	a vector of the performance(s) when a feature was shuffled
unpermuted.perf	a vector of the true performance(s)
importance.fun	[function] Function with signature function(permuted, unpermuted) which defines how permuted and unpermuted are aggregated to a feature importance measure. The function takes the result of measurePerformance as input for permuted and unpermuted. The default NULL internally uses unpermuted - permuted which refers to the drop in performance if the measure is to be maximized (i.e., if higher values of the measure refer to better performance).

giuseppec/featureImportance documentation built on June 1, 2021, 11:04 a.m.