imblearn.ensemble.RUSBoostClassifier.feature_importances_

property RUSBoostClassifier.feature_importances_

The impurity-based feature importances.

The higher, the more important the feature. The importance of a feature is computed as the (normalized) total reduction of the criterion brought by that feature. It is also known as the Gini importance.

Warning: impurity-based feature importances can be misleading for high cardinality features (many unique values). See sklearn.inspection.permutation_importance as an alternative.

Returns
feature_importances_ndarray of shape (n_features,)

The feature importances.