Fig. 1

Illustration of the two training schemes used. In scheme A the feature selection is performed on the whole dataset before the cross-validation, while in scheme B the feature selection is part of the cross-validation, i.e. is applied only to each training fold. Note that preprocessing actually must be part of the cross-validation, but as it would interfere with the bias coming from applying the feature selection incorrectly, it was applied to all data