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Evaluation Structure


To evaluate a given target variable, parcellation, or machine learning strategy’s performance, we defined an explicit framework to compare different combinations of methods. We evaluated each combination of target variable, parcellation and ML pipeline with five-fold cross validation using the full set of available participants. This evaluation strategy is well known as K-Fold cross validation.