Permutation importance measures the drop in a model's score when the values of a variable are randomly shuffled on a validation set. It applies to any model and reflects the real usefulness of a variable for prediction, but it is misleading when variables are strongly correlated.
Example
permutation_importance(modele, X_test, y_test, n_repeats=10)