Table 3.

Proposed framework COVID-19 classification results on Covid-GAN and Covid-Net mini Chest X-ray dataset.

Classifiers	Features					Measures
	EffNet	VGG16	SL EffNet	SL VGG16	Proposed	Accuracy (%)	Time (%)
Softmax	✓					91.6	91.4534
		✓				89.4	94.3423
			✓			94.8	62.2322
				✓		93.5	64.5454
					✓	97.2	47.6654
Naïve Bayes	✓					90.1	85.3843
		✓				87.5	78.6434
			✓			92.2	51.5444
				✓		90.9	49.9845
					✓	94.6	41.9905
MCSVM	✓					90.6	82.5645
		✓				90.1	78.9964
			✓			94.2	59.4354
				✓		92.9	64.8634
					✓	96.9	48.6654
ELM	✓					93.3	71.5535
		✓				89.2	69.6543
			✓			95.8	52.5454
				✓		95.9	47.6543
					✓	98.2	39.6652