Table 3. Performance metrics for the two machine learning models: decision tree and naïve Bayes using the modelling data set and optimized hyperparameters.

Model	AUC		Accuracy		F-score		Sensitivity		Specificity
Decision tree	0.876	± 0.010	81.42%	± 1.01%	16.74%	± 0.55%	81.65%a	± 1.64%	81.41%
Naïve Bayes	0.881a	± 0.006	81.68%a	± 0.05%	16.75%a	± 0.33%	80.63%	± 1.17%	81.71%a

^a Highest values for each metric across all models