The larger X 2 , the poorer the training set fit; the larger rMSE, the worse the prediction.
focusing for now on the circles (pinpointing the ZM, fZM and GIGP models), we see that there is instead a negative correlation between goodness of fit on the training set and quality of prediction on unseen data.