Figure 1. Cross-validation framework.

A. Overview of 5-fold cross-validation. Subject data is partitioned into five non-overlapping training and test folds, such that no training subjects are in the test set, and no subject is in the test fold more than once. B. Use of acute/subacute subjects in training folds but not test folds. When using all training data, chronic subjects were included in the test folds and training folds, whereas acute/subacute stroke subjects were only included in training folds.