Hi. is it possible that existing ML model can be trained addtionally in the following scenarios? and how? 1) when accurracy of part of the existing lables isn’t good enough, the user wants to have the ML model learn with more documents only for those labels 2) when ML model requires the new labels t…

@hongjoo.choi Yes, that’s correct! Regardless of whether the labels are newly added or existing ones, all labels both old and new should be annotated to the new dataset. This ensures that the ML model is trained comprehensively and recognizes both the previous and newly introduced labels.

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Darshan_Sable (Darshan Sable) May 8, 2025, 3:09am 4

@hongjoo.choi Yes each label has its own accuracy. You can add new labels. But each label should be annotated at least 10 times in Data Manager. Higher the number relates to more accuracy

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