Table 4.

Classification accuracy of modified MobileNet-v2 Bayesian optimization features on COVID-19 radiography dataset.

Classifiers	Sensitivity	Precision	FPR	F1-score	Accuracy	Time
QSVM	92.85	92.92	0.022	92.88	92.8	28.351
CSVM	92.20	92.27	0.025	92.23	92.2	33.41
M G SVM	91.05	91.20	0.027	91.12	91.0	33.386
C G SVM	87.52	88.90	0.04	88.20	87.5	50.183
ESD	94.25	94.32	0.02	94.28	94.2	106.56
LSVM	93.75	93.80	0.022	93.77	93.8	20.353
SVM Kernel	94.25	94.32	0.017	94.28	94.2	89.6
LRK	90.45	90.62	0.032	90.53	90.8	127.41
LD	83.92	87.05	0.052	85.45	83.9	15.743
WNN	91.37	91.42	0.027	91.39	91.5	42.71

Bold represent best values.