Figure 3.

Nested cross-validation. In nested cross-validation, the data are split twice into several folds. In this figure, we have eightfold outer cross-validation to determine the classifier performance. In the inner twofold cross-validation, the training set is divided again for feature selection or to determine optimal tuning parameters for the classifier.