features just you can get to about 85% accuracy using just dumb random features shallow stuff can get it was big so it's also a large shallow model can get to about 85 and so the question is are all we're doing here is just overfitting to the test set by graduate student design so we're gonna check and we're gonna check by building a new test set now what does that mean so it turns out that the syph are ten creation process is super well documented and it was documented by the folks at Toronto who made it in the first place