these confidence of the network goes up the actual accuracy goes up as well so that means the network after the classroom is really more confident about the points that it can classify more accurately there's like a correlation between the network is confident and the actual label of the point which is remarkable because it has never seen the label but also see how sort of the range here is soup is quite small so with the standard augmentation that goes like from here to here so where you set that threshold is