from sklearn.datasets import load_iris
from sklearn.tree import DecisionTreeClassifier
iris = load_iris()
X = iris.data
y = iris.target
# Train a decision tree classifier using Gini index
clf = DecisionTreeClassifier(criterion='gini')
clf.fit(X, y)
# Print the feature importances
print("Feature importances:", clf.feature_importances_)