To see if it would be possible to train a better model with more training data, we train different models with different fractions of the training set as shown on Figure . The RMSE unsurprisingly decreases as we increase the amount of data, but it seems to start stabilizing for a fraction of 95% of the training set. This means that the model has a sufficient amount of training data to achieve what seems to be the minimum error on this test set, although it may still be improved if we had a larger data set.