application_vnd.jupyter.stderr_output_1.png
from sklearn.ensemble import RandomForestRegressor

from sklearn.ensemble import RandomForestRegressor
reg = RandomForestRegressor(n_estimators=200, random_state=101)
reg.fit(X_train, y_train)
accuracy = reg.score(X_test, y_test)
accuracy = accuracy * 100
accuracy = float('{0:.4f}'.format(accuracy))
print('Accuracy is:', accuracy, '%')