Table 2.

Performance comparison using ANN, SVM, SSL, and SSL Co-training with the 10 datasets

Dataset	Accuracy				AUC
	ANN	SVM	SSL	SSL Co-training	ANN	SVM	SSL	SSL Co-training
1	0.66	0.52	0.72	0.77	0.68	0.79	0.77	0.84
2	0.67	0.52	0.72	0.79	0.72	0.79	0.79	0.82
3	0.62	0.50	0.70	0.76	0.68	0.80	0.78	0.78
4	0.67	0.51	0.68	0.75	0.72	0.79	0.76	0.81
5	0.64	0.52	0.71	0.77	0.66	0.82	0.78	0.82
6	0.62	0.52	0.71	0.76	0.68	0.78	0.77	0.83
7	0.63	0.51	0.69	0.77	0.67	0.79	0.77	0.83
8	0.69	0.51	0.73	0.76	0.73	0.82	0.80	0.82
9	0.66	0.52	0.70	0.74	0.71	0.81	0.78	0.78
10	0.64	0.51	0.73	0.77	0.73	0.81	0.80	0.81
Average	0.65	0.51	0.70	0.76	0.70	0.80	0.78	0.81

ANN, artificial neural network; AUC, area under the curve; SSL, semi-supervised learning; SVM, support vector machine.

Bold numbers represent best performance among the four models.