unlegal leader doesn't have the uniform class distribution its label there and you can play around what the distribution of unlabeled here points are as far as a class overlap with Lolita is its it it is clear that as you as the distribution response increases which for a personal training is the most persistent compared to all the other approaches similarly if you vary the number of legal data points obviously the test error is going to be lower as the number of legal data points increases because that's slowly getting