Table 2.

Metrics used to evaluate performance of three multilayer neural network models.

	model 1	model 2	model 3
hidden layer architecture	1 hidden layer 6 nodes	3 hidden layers 20, 10, 6 nodes respectively	2 hidden layers 9, 18 nodes respectively
accuracy (%)	58.93	64.29	58.93
F1 score	0.4091	0.2857	0.4889
specificity	0.5952	0.7619	0.5238
sensitivity	0.5714	0.2857	0.7857
AUC (%)	63.2	66.2	73.0