Confusion matrix normalized to the number of predicted sources in a class for the NN classification. The sources are classified according to the highest class probability for each source. The numbers on the diagonal show the one-versus-all precision for this classification method. Top (bottom) panels show the performance for the unweighted (weighted) samples representative for the associated (unassociated) sources.