Researchers train machine learning models to identify patterns in data before evaluating the algorithms’ efficacy. However, according to a recent Yale study, models may appear less capable than they actually are if the datasets used for training and testing aren’t large enough. Regarding brain-behavior models, these findings may impact future investigations…
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