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The Limitation of CleanLab
CleanLab works well as an ML model. The key thing here is disambiguating data noise and your model noise. If you were getting like 50% accuracy with your model on that type of data set, then CleanLab will not be very helpful. And so that's one thing that we have to deal with is just scalability. Another shortcoming is regression. So this is something that's coming out this year.