Table 7.

The highest experiment outcomes of the binary and multi-class classifications for ELM approach using APTOS-2019 and IDRiD datasets.

	APTOS-2019 dataset
Number of class	Accuracy	Precision	Recall	Specificity	MCC	F-measure	G-mean
5	80.21	50.53	50.53	87.63	38.16	50.53	50.53
2	92.63	93.42	93.42	77.27	78.60	95.30	95.32
	IDRiD dataset
Number of class	Accuracy	Precision	Recall	Specificity	MCC	F-measure	G-mean
5	74.62	36.54	36.54	84.13	20.67	36.54	36.54
2	72.12	85.71	75.95	60.00	32.75	80.54	80.68