As you can see here, the decision tree model significantly outperformed their linear competitors with the gradient boosting regressor emerging as the most accurate model. If you didn't get the same results as you see here, review your code thoroughly throughout the lesson for errors and make sure that your random states are set correctly. If you've done everything right, you should see exactly the same R squared in mean absolute error scores as you see here.