Table 5 shows an indication of the model's ability to predict the correct category once predictors have been added to the study. The percentages in the first two rows indicate the specificity and sensitivity of the model (Hosmer et al. 2013). Specificity is the ability of the model to correctly classify subjects without an event, which in this case is 72.1%. Sensitivity is the ability of the model to correctly identify subjects with the studied event, which amounts to 79.3% in our study. Overall, the correct prediction rate was good at 76.2%.