Fig. 1.

Schematic view of the cross-classification metric computation. It consists of the following steps: (1) real data is split into training and test sets; (2) classifier is trained on the training set; (3) classifier is applied on both test set (real) and synthetic data; and (4) the ratio of the classification performances is calculated