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. 2021 Feb 5;15:622224. doi: 10.3389/fnhum.2021.622224

Figure 3.

Figure 3

Double cross-validation implemented: In the outer (external) loop of double cross-validation, each interaction excludes one subject and all remaining data subjects are divided into two subsets referred to as training and test sets. The training set used in the inner (internal) loop, while the test set was exclusively used for model assessment.