Table 8.

Comparative analysis of the classification results of the best performing 9 models during experiments 11 and 13

Experiment-11	Metric-1	Metric-2	Metric-3	Experiment-13	Metric-1	Metric-2	Metric-3
Image nets	F1	AUC	Accuracy	Image nets	F1	AUC	Accuracy
ResNet50V2	0.80426	0.84035	0.89550	MobileNet	0.98763	0.97856	0.98565
Xception	0.84660	0.86301	0.89206	InceptionResNetV2	0.96547	0.95635	0.98615
DCGAN	0.93642	0.93348	0.93476	ResNet50V2	0.98236	0.96584	0.99655
LSTMCNN	0.97457	0.97895	0.97456	LSTMCNN	0.97845	0.98746	0.97855
U-Net(Glaucoma)	0.96805	0.98069	0.98660	U-Net(Glaucoma)	0.89233	0.98698	0.98524
Proposed Model	0.98630	0.98604	0.98936	Proposed Model	0.89975	0.98555	0.92126
Covid research paper	0.97456	0.95479	0.96470	Covid research paper	0.96325	0.98464	0.97456
ResNet-101V2	0.8924	0.9124	0.9010	ResNet-101V2	0.8947	0.9214	0.9007
NASNet Large	0.96548	0.94756	0.94752	NASNet Large	0.94365	0.96412	0.97413
DarkNet-53 + MobileNetV2 + Resnet-101 + NASNet Large + Xception + GoogLeNet	0.95686	0.97845	0.98875	DarkNet-53 + MobileNetV2 + Resnet-101 + NASNet Large + Xception + GoogLeNet	0.97878	0.98747	0.99785