Unadjusted confusion matrices of DSC classifiers computed on the validation data set over the five classes. (a) Confusion matrix computed over the full validation data set of 1 456 908 sources of DSC Combmod using the global prior. (b) Confusion matrix computed on the cleaned validation data set of 1 421 155 sources of DSC Combmod using the global prior. ‘Unadjusted’ means that confusion matrices have not yet been adjusted to represent the expected class fractions. Indicated in blue colours are the fractions of the number of predictions per class normalised by the total number of true labels in this class (last row in grey), and in red colours the fractions of the predictions per class normalised by the total number of the predictions (last column in grey). The diagonal elements of the matrix in blue refer to the unadjusted completeness TP/(TP+FN) and in red to the unadjusted purity TP/(TP+FP). The colour scheme of the background is defined such that dark colours refer to higher number of sources and white colours to lower values.