Top left: Confusion matrix for the one-stage classification, trained and predicted on the entire dataset over all redshifts. The matrix is normalised vertically to give the precision along the diagonal. Recall is shown in brackets below (i.e. the numbers in brackets are normalised horizontally). Top right: Example confusion matrix from a random three-class classifier. Bottom left: Confusion matrix for the two-stage classification. Bottom right: Example confusion matrix from a random classifier in the two-stage set-up. For clarity, only uncertainties on the accuracy metric are shown. The uncertainties on the other metrics are broadly similar.