Introduce

This notebook compare's feature importances which are created between cuml and sklearn RandomForestClassifiers

Feature importances calculated in sklearn needs to use RandomForestClassifier().feature_importances_, while in cuml needs to use this function with one line fixed.

Requirements

python == 3.10

rapids == 23.06

scikit-learn == 1.3.0

matplotlib == 3.7.2 (optional)