Table 3.

Comparison of different predictive models trained on the dataset

Model	Specificity	Sensitivity	Accuracy	AUC score
Logistic regression	0.72	0.46	0.59	0.64
Random forest	0.91 a	0.25	0.58	0.73
Ada boost	0.65	0.50	0.58	0.66
Artificial neural network (9‐5‐10‐1)	0.83	0.55 a	0.69 a	0.83 a
Artificial neural network (9‐10‐1)	0.81	0.49	0.65	0.74
Artificial neural network (9‐5‐10‐10‐1)	0.78	0.49	0.63	0.70

Abbreviation: AUC, area under the curve.

^aThe best performance of each vertical category is bolded.