# Build unrestricted decision tree
clf = ____
clf.fit(X_train, y_train)

# Predict the labels
pred = clf.predict(X_test)

# Print the confusion matrix
cm = confusion_matrix(y_test, pred)
print('Confusion matrix:\n', cm)

# Print the F1 score
score = f1_score(y_test, pred)
print('F1-Score: {:.3f}'.format(score))