linear classifier on top the the results from just using supervised learning features are the topmost row 59.7 percentage top one which is pretty close to what alex net gets in terms of top one accuracy so just using the random features gives you like 27 percent and 12 percent respectively and the context paper doors are always the paper we saw relative position prediction and and that's able to get fork on forcibly at forty five point six percent which is which is way better than random but not as good as supervising internet and colorization