Table 3.

All performances of 5 different models on each fold for COVID-19/viral pneumonia binary classification

Models/fold	Confusion matrix and Performance results (%)
	TP	TN	FP	FN	ACC	REC	SPE	PRE	F1
InceptionV3
Fold-1	68	292	6	0	98.4	100	98.0	91.9	95.8
Fold-2	68	292	6	0	98.4	100	98.0	91.9	95.8
Fold-3	67	295	4	1	98.6	98.5	98.7	94.4	96.4
Fold-4	68	290	9	0	97.5	100	97.0	88.3	93.8
Fold-5	69	299	0	0	100	100	100	100	100
Total/average	340	1468	25	1	98.6	99.7	98.3	93.2	96.3
ResNet50
Fold-1	68	297	1	0	99.7	100	99.7	98.6	99.3
Fold-2	68	293	5	0	98.6	100	98.3	93.2	96.5
Fold-3	68	298	1	0	99.7	100	99.7	98.6	99.3
Fold-4	66	299	0	2	99.5	97.1	100	100	98.5
Fold-5	69	299	0	0	100	100	100	100	100
Total/average	339	1486	7	2	99.5	99.4	99.5	98.0	98.7
ResNet101
Fold-1	61	294	4	7	97.0	89.7	98.7	93.8	91.7
Fold-2	62	293	5	6	97.0	91.2	98.3	92.5	91.9
Fold-3	68	295	4	0	98.9	100	98.7	94.4	97.1
Fold-4	65	298	1	3	98.9	95.6	99.7	98.5	97.0
Fold-5	45	299	0	24	93.5	65.2	100	100	78.9
Total/average	301	1479	14	40	97.1	88.3	99.1	95.6	91.8
ResNet152
Fold-1	63	291	7	5	96.7	92.6	97.7	90.0	91.3
Fold-2	67	293	5	1	98.4	98.5	98.3	93.1	95.7
Fold-3	66	298	1	2	99.2	97.1	99.7	98.5	97.8
Fold-4	56	299	0	13	96.5	81.2	100	100	89.6
Fold-5	58	298	1	10	97.0	85.3	99.7	98.3	91.3
Total/average	310	1479	14	31	97.5	90.9	99.1	95.7	93.2
Inception-ResNetV2
Fold-1	68	283	15	0	95.9	100	95.0	81.9	90.1
Fold-2	68	267	31	0	91.5	100	89.6	68.7	81.4
Fold-3	68	278	21	0	94.3	100	93.0	76.4	86.6
Fold-4	41	296	3	27	91.8	60.3	99.0	93.2	73.2
Fold-5	69	293	6	0	98.4	100	98.0	92.0	95.8
Total/average	314	1417	76	27	94.4	92.1	94.9	80.5	85.9