mimic the behavior of supervised learning with perfect labels so this plot is showing that if it was doing this then these accuracies of the student network should be high as well and have a similar kind of curve as supervised learning so this is showing that the teacher network isn't just trying to fit the training data it's trying to help with this regularization and preventing overfitting this visualization shows the teacher network isn't just doing preventing of overfitting with respect to how its labeling this data can you see