Table 7.

Proposed method modified MobileNet-V2 utilizing Bayesian optimization results on COVID-GAN and COVID-Net mini chest X-ray dataset.

Classifiers	Sensitivity	Precision	FPR	F1-score	Accuracy	Time
QSVM	93.43	93.44	0.032	93.37	93.4	21.75
CSVM	93.35	93.46	0.032	93.47	93.5	19.246
M G SVM	92.25	92.54	0.037	92.43	92.5	23.361
C G SVM	91.30	76.26	0.060	79.77	91.3	17.924
ESD	93.03	92.13	0.034	92.94	92.9	148.03
LSVM	93.16	93.24	0.034	93.09	93.1	15.974
SVM Kernel	92.37	92.41	0.038	92.28	92.4	396.83
LRK	91.82	91.83	0.040	91.73	91.7	140.18
LD	86.20	86.46	0.069	85.98	86.2	24.760
WNN	92.52	92.68	0.036	92.66	92.7	95.177

Bold represent best values.