Extract and Summarize Permutation Variable Importance

Computes permutation feature importance from a fitted model or DALEX explainer, returning a tidy table of variable importance rankings and dropout losses.

Usage

summarize_dalex_importance(explainer, data = NULL, y = NULL, B = 10, ...)

Arguments

explainer

A DALEX explainer object, or a fitted model / function supported by DALEX.

data

Optional test dataset for computing importance.

y

Optional outcome vector if creating an explainer on the fly.

B

Number of permutation rounds (default 10).

...

Additional arguments passed to [DALEX::model_parts()].

Value

A tibble with columns `variable`, `dropout_loss`, `importance`, and `rank`.

See also

[plot_permutation_importance()], [tbl_permutation_importance()]