CODE EXAMPLE FOR PYTHON

sklearn random forest feature importance

import time
import numpy as np

start_time = time.time()
importances = forest.feature_importances_
std = np.std([
    tree.feature_importances_ for tree in forest.estimators_], axis=0)
elapsed_time = time.time() - start_time

print(f"Elapsed time to compute the importances: "
      f"{elapsed_time:.3f} seconds")