Top: Evolution of ∆Acc between the batch and the validation data sets as function of the size of the initial training data set after 25 epochs. This visualisation allows to quickly identify if the CNN algorithm is in an over(under)fitting regime (outliers of the dashed lines). Bottom: Evolution of three metrics: accuracy, F1-score and MCC as a function of the training data set size (JAST-gmadet).