AUC values with 95% bootstrapped confidence intervals assess how well the model can discriminate SET scores ≤ 1, …, 5.

Values between 0.7-0.8 are generally considered good, 0.8-0.9 is considered excellent whilst 0.9-1 is considered outstanding. The models are excellent at discriminating high SET scores (5-6) from low SET scores (≤ 4), with AUC’s between 0.96–0.99, and good at discriminating very high (6) from SET scores ≤ 5, with AUC’s 0.79-0.89.