Before revision:  We quantify that between 1\% and 12\% of accuracy scores may result inflated , even if a well designed 10x5 nested cross-validation DAP is applied, unless all images from the same subject are kept together either in the internal training or validation splits.
After revision:  We quantify that between 1\% and 12\% of accuracy scores may result inflated , even if a well designed 10x5 iterated cross-validation DAP is applied, unless all images from the same subject are kept together either in the internal training or validation splits.