Table 4.

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

Models/fold	Confusion matrix and Performance results (%)
	TP	TN	FP	FN	ACC	REC	SPE	PRE	F1
InceptionV3
Fold-1	68	554	0	0	100	100	100	100	100
Fold-2	68	551	3	0	99.5	100	99.5	95.8	97.8
Fold-3	68	541	13	0	97.9	100	97.7	84.0	91.3
Fold-4	68	532	23	0	96.3	100	95.9	74.7	85.5
Fold-5	69	521	34	0	94.6	100	93.9	67.0	80.2
Total/average	341	2699	73	0	97.7	100	97.4	82.4	90.3
ResNet50
Fold-1	68	554	0	0	100	100	100	100	100
Fold-2	67	551	3	1	99.4	98.5	99.5	95.7	97.1
Fold-3	68	554	0	0	100	100	100	100	100
Fold-4	65	555	0	3	99.5	95.6	100	100	97.7
Fold-5	69	552	3	0	99.5	100	99.5	95.8	97.9
Total/average	337	2766	6	4	99.7	98.8	99.8	98.3	98.5
ResNet101
Fold-1	42	554	0	26	95.8	61.8	100	100	76.4
Fold-2	33	553	1	35	94.2	48.5	99.8	97.1	64.7
Fold-3	68	554	0	0	100	100	100	100	100
Fold-4	14	554	1	54	91.2	20.6	99.8	93.3	33.7
Fold-5	22	555	0	47	92.5	31.9	100	100	48.4
Total/average	179	2770	2	162	94.7	52.5	99.9	98.9	68.6
ResNet152
Fold-1	9	554	0	59	90.5	13.2	100	100	23.4
Fold-2	64	552	2	4	99.0	94.1	99.6	97.0	95.5
Fold-3	26	554	0	42	93.2	38.2	100	100	55.3
Fold-4	28	554	1	40	93.4	41.2	99.8	96.6	57.7
Fold-5	47	502	53	22	88.0	68.1	90.5	47.0	55.6
Total/average	174	2716	56	167	92.8	51.0	98.0	75.7	60.9
Inception-ResNetV2
Fold-1	60	540	14	8	96.5	88.2	97.5	81.1	84.5
Fold-2	39	552	2	29	95.0	57.4	99.6	95.1	71.6
Fold-3	66	547	7	2	98.6	97.1	98.7	90.4	93.6
Fold-4	34	551	4	34	93.9	50.0	99.3	89.5	64.2
Fold-5	42	536	19	27	92.6	60.9	96.6	68.9	64.6
Total/average	241	2726	46	100	95.3	70.7	98.3	84.0	76.8