byfttfu@ymjn byfttfu@zmjn qmutdbuufs uftuyuftuz qmuqmpu yqqyq  qmutipx indeedif we plot our test data against that same functionwellit doesn' actually look that bad we got lucky and none of our test is actually out here to begin withbut you can see that it' reasonable fitbut far from perfect and in factif you actually measure the -squared scoreit' worse than you might think we can measure that using the @tdpsf function from tlmfbsonfusjdt we just give it our original data and our predicted values and it just goes through and measures all the variances from the predictions and squares them all up for yougspntlmfbsonfusjdtjnqpsus@tdpsf ss@tdpsf uftuzquftuy qsjouswe end up with an -squared score of just so that' not that hotyou can see that it fits the training data lot bettergspntlmfbsonfusjdtjnqpsus@tdpsf ss@tdpsf oqbssbz usbjoqoqbssbz usbjo qsjous