TABLE 1.

The performance of each model for binary classification.

Model	Dataset	Accuracy	AUC	Sensitivity	Precision	F1 - score
VGG 19	Day 1	0.9211	0.9972	1.0000	0.8636	0.9268
	Day 2	0.9487	0.9974	1.0000	0.9091	0.9524
	Day 3	0.9750	0.9950	0.9500	1.0000	0.9744
	Day 5	0.9250	0.9850	0.9500	0.9048	0.9268
	Day 7	0.9750	0.9950	0.9500	1.0000	0.9744
	Day 10	1.0000	1.0000	1.0000	1.0000	1.0000
	Day 13	0.9333	1.0000	0.9000	1.0000	0.9744
	Day 15	0.9744	1.0000	0.9500	1.0000	0.9744
	Overall	0.9572	0.9895	0.9618	0.9557	0.9587
Inception V3	Day 1	0.8158	0.9806	0.9474	0.7500	0.8372
	Day 2	0.9487	1.0000	0.9000	1.0000	0.9474
	Day 3	0.9500	1.000	0.9000	1.0000	0.9474
	Day 5	0.9250	1.0000	0.9000	0.8696	0.9302
	Day 7	0.9750	0.9850	0.9500	1.0000	0.9744
	Day 10	1.0000	1.0000	1.0000	1.0000	1.0000
	Day 13	1.0000	1.0000	1.0000	1.0000	1.0000
	Day 15	1.0000	1.0000	1.0000	1.0000	1.0000
	Overall	0.9507	0.9926	0.9618	0.9438	0.9527
ResNet18	Day 1	0.9737	1.000	0.9474	1.0000	0.9730
	Day 2	0.9487	0.9921	0.9000	1.0000	0.9474
	Day 3	0.8000	0.9825	0.6000	1.0000	0.7499
	Day 5	0.9500	0.9750	1.000	0.9091	0.9524
	Day 7	0.9750	0.9750	0.9500	1.0000	0.9744
	Day 10	0.9474	1.0000	0.8889	1.0000	0.9412
	Day 13	0.9000	1.0000	0.8500	1.0000	0.9189
	Day 15	1.0000	1.0000	1.000	1.0000	1.0000
	Overall	0.9375	0.9890	0.8917	0.9859	0.9365
ResNet 50	Day 1	1.0000	1.0000	1.0000	1.0000	1.0000
	Day 2	0.9231	1.0000	0.8500	1.0000	0.9189
	Day 3	0.8000	1.0000	0.6500	1.0000	0.7500
	Day 5	0.9750	1.0000	1.0000	0.9524	0.9756
	Day 7	0.9750	0.9975	0.9500	1.0000	0.9744
	Day 10	1.0000	1.0000	1.0000	1.0000	1.0000
	Day 13	1.0000	1.0000	1.0000	1.0000	1.0000
	Day 15	1.0000	1.0000	1.0000	1.0000	1.0000
	Overall	0.9572	0.9958	0.9236	0.9932	0.9571