CFR ten which which we all know is perfectly labeled and in real in real life you know that doesn't generally hold completely agree like secondly this already has a chance of miss labeling things just on a time like even if your data set was perfectly labeled it's with it that would already be a probability that it goes in and miss label stuff so you know having incorrect labels in the first place would would add to that however since it's a semi supervised method the initial label data set is small so presumably it would be possible