Table 6.

Comparison of accuracy, recall, F1 score, and AUC of the methods on test data by the deep network based on four data augmentation methods

Loss function	Data augmentation	Precision	Recall	F1	AUC
Cross entropy	Without augmentation	0.76	0.72	0.74	0.821
		0.91	0.93	0.92
	SMOTE	0.58	0.82	0.68	0.813
		0.93	0.81	0.87
	Positive augmentation	0.67	0.75	0.81	0.815
		0.92	0.88	0.90
	4× augmentation	0.69	0.77	0.72	0.827
		0.92	0.89	0.91
Focal loss	Without augmentation	0.76	0.73	0.74	0.828
		0.91	0.93	0.92
	SMOTE	0.52	0.82	0.64	0.79
		0.93	0.76	0.84
	Positive augmentation	0.74	0.72	0.73	0.817
		0.91	0.92	0.91
	4× augmentation	0.7	0.74	0.72	0.821
		0.9	0.9	0.91