Table 3.

Dataset-wise performance metrics of the proposed approach (:1.0, :1.0 ,:1.0).

Dataset	Class	Precision	Recall	F1 Score	Sensitivity	Specificity	Accuracy(%)
PAPILA40	H	0.88	0.69	0.78	0.69	0.73	69.1
	G	0.46	0.73	0.59	0.73	0.69	73.3
	DR	0	-	-	-	1.0	-
HRF41	H	0.67	0.67	0.67	0.67	0.9	66.7
	G	0.88	1.0	0.94	1.0	0.8	100
	DR	0.67	0.67	0.67	0.67	1.0	66.7
SUSTech42	H	0.91	0.94	0.92	0.94	0.90	93.5
	G	1.0	1.0	1.0	1.0	1.0	100
	DR	0.89	0.89	0.89	0.89	1.0	89.4
FIVES43	H	0.71	0.8	0.75	0.8	0.82	80.0
	G	0.82	0.73	0.78	0.73	0.91	73.4
	DR	0.71	0.85	0.78	0.85	0.93	85.2
Drishti-GS144,45	H	0.73	0.53	0.63	0.53	0.93	53.3
	G	0.85	0.93	0.89	0.93	0.53	93.0
	DR	0	-	-	-	1.0	-