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. 2022 Nov 4;10:1046296. doi: 10.3389/fpubh.2022.1046296

Table 3.

Classification accuracy of modified EfficientNet-B0 Bayesian optimization features on COVID-19 radiography dataset.

Classifiers Sensitivity Precision FPR F1-score Accuracy Time
QSVM 97.12 97.15 0.0075 97.13 97.2 19.996
CSVM 97.22 97.22 0.0075 97.22 97.2 21.042
M G SVM 97.02 97.05 0.01 97.03 97.0 21.943
C G SVM 96.70 96.75 0.01 96.72 96.08 21.283
ESD 96.75 96.77 0.01 96.75 96.9 82.864
LSVM 97.05 97.07 0.10 97.05 97.0 18.952
SVM Kernel 96.92 96.95 0.0075 96.93 96.9 688.63
LRK 96.55 96.57 0.035 96.55 96.5 212.31
LD 96.55 96.57 0.010 96.55 96.5 18.935
WNN 95.52 96.57 0.015 96.04 96.5 18.004

Bold represent best values.