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Is this a ground truth label LOL?


Are the values next to the labels indicating the percentage likelihood of a particular trait? Out of curiosity, when labeling, what happens if all the possible labels report the same likelihood? Does the algorithm have no choice but to arbitrarily pick a label at that point while training?


@totofufu Yes, I think so. The algorithm would output Nerdy. If multiple labels share the highest likelihood, we'll need tie-breaking. Arbitrarily picking one could work. I think the situation is highly unlikely though.