Table 4.

Proposed framework COVID-19 classification results on Chest X-ray dataset.

Classifiers	Features					Measures
	EffNet	VGG19	SL EffNet	SL VGG19	Proposed	Accuracy (%)	Time (%)
Softmax	✓					86.3	94.8453
		✓				85.4	96.0985
			✓			91.6	69.3345
				✓		90.2	69.5884
					✓	95.8	53.9484
Naïve Bayes	✓					84.2	89.2322
		✓				85.7	85.9505
			✓			88.3	57.2754
				✓		89.6	62.9576
					✓	93.4	59.2328
MCSVM	✓					85.6	88.5445
		✓				85.0	86.6544
			✓			89.9	62.8432
				✓		90.0	67.4454
					✓	94.8	53.4935
ELM	✓					87.8	74.5563
		✓				84.1	71.0054
			✓			93.4	54.5374
				✓		92.8	51.0588
					✓	96.7	43.2084