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Figure 9: Leave-one-run-out cross-validation (LORO-CV) and leave-one-sample-out cross-validation (LOSO-CV). A classifier is trained using training set (in blue) and then tested using the test set (in red) to get a performance. This procedure is repeated for each run in LORO-CV and for each sample in LOSO-CV to get at the end an averaged performance.