BMC Medical Imaging

Table 4 Performance of different folds for task 4

From: Deep learning model for automatic image quality assessment in PET

	Train				Validation
Cross-fold	Accuracy	Specificity	Sensitivity	AUC	Accuracy	Specificity	Sensitivity	AUC
0	0.85	0.78	0.91	0.93	0.83	0.75	0.90	0.79
1	0.69	0.71	0.68	0.78	0.83	0.90	0.75	0.93
2	0.76	0.68	0.85	0.89	0.94	0.86	1.00	0.99
3	0.83	0.80	0.86	0.89	0.89	0.89	0.89	0.96
4	0.81	0.68	0.92	0.84	0.77	0.60	1.00	0.93
Average	0.79	0.73	0.85	0.86	0.85	0.80	0.91	0.92

AUC, area under the ROC Curve

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