Table 9 Model Comparisons on the grapes dataset.

Model Name	Class	Train Acc.	Test Acc.	Precision	Recall	Sensitivity	Specificity	F1	MCC
Xception Network	Healthy	99.04	95.34	1.00	0.99	0.99	1.00	0.99	0.99
	Esca	97.44		0.91	0.96	0.96	0.96	0.92	0.92
	Black rot	93.33		0.91	0.95	0.95	0.96	0.92	0.92
	Leaf Blight	95.94		0.89	0.93	0.93	0.92	0.89	0.89
Densenet-121	Healthy	98.88	96.91	0.98	0.97	0.97	0.98	0.97	0.97
	Esca	98.50		0.92	0.97	0.97	0.97	0.93	0.93
	Black rot	98.50		0.92	0.96	0.96	0.97	0.93	0.93
	Leaf Blight	99.22		0.98	0.98	0.98	0.99	0.98	0.98
Alexnet	Healthy	99.58	97.84	0.98	0.98	0.98	0.99	0.98	0.97
	Esca	98.79		0.98	0.98	0.98	0.99	0.98	0.98
	Black rot	98.89		0.97	0.98	0.98	0.99	0.97	0.97
	Leaf Blight	98.66		0.97	0.98	0.98	0.99	0.98	0.97
VGG-16	Healthy	97.06	89.75	0.97	0.89	0.89	0.99	0.93	0.91
	Esca	93.19		0.83	0.91	0.91	0.93	0.87	0.83
	Black rot	90.58		0.84	0.78	0.78	0.94	0.81	0.76
	Leaf Blight	98.83		0.95	0.99	0.99	0.98	0.97	0.96
Resnet-50	Healthy	82.43	45.65	0.96	0.26	0.26	0.99	0.40	0.45
	Esca	74.93		0.51	0.89	0.89	0.69	0.65	0.55
	Black rot	57.22		0.32	0.57	0.57	0.57	0.41	0.28
	Leaf Blight	76.73		0.91	0.02	0.02	0.99	0.04	0.13
EfficientNet B2	Healthy	76.56	26.59	0	0	0	1
	Esca	26.59		0.26	1	1	0	0.42
	Black rot	73.85		0	0	0	1
	Leaf Blight	76.17		0	0	0	1
SoyNet Model	Healthy	99.22	93.30	0.98	0.98	0.98	0.99	0.98	0.97
	Esca	94.95		0.94	0.85	0.85	0.98	0.90	0.87
	Black rot	93.51		0.84	0.92	0.92	0.93	0.88	0.84
	Leaf Blight	98.89		0.98	0.97	0.97	0.99	0.97	0.96
V\(^2\)PlantNet	Healthy	99.88	99.50	1.00	1.00	1.00	1.00	1.00	1.00
	Esca	99.50		1.00	0.99	0.99	0.98	0.99	0.99
	Black rot	99.66		0.99	0.99	0.99	0.99	0.99	0.99
	Leaf Blight	99.94		0.99	1.00	1.00	0.96	0.99	0.97

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