also show the effect of sample size we show the accuracy of the network's chosen by our method for each n so that's the sample size we list the optimal accuracy for sample sizes 10 and hundred and random selection over the whole benchmark so in this case they have the the optimal one which I guess they just draw 10 samples and then take the best one so they train all of them and then take the best one you can see that already gets you to the 93 and whereas in their case sometimes when they add more they get worse so here