text_plain_output_1.png
from sklearn.ensemble import RandomForestClassifier

model = RandomForestClassifier(random_state=1)
model.fit(X_train, y_train)

acc = model.score(X_test, y_test)
print('Accuracy {:.2f}%'.format(acc * 100))