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

Table 10.

Proposed modified MobileNet-V2 Bayesian optimized features results on chest X-ray dataset.

Classifiers Sensitivity Precision FPR F1-score Accuracy Time
QSVM 96.02 96.6 0.009 96.05 97.0 23.671
CSVM 96.52 96.68 0.011 96.67 96.7 38.324
M G SVM 95.42 95.85 0.013 95.84 95.9 41.99
C G SVM 96.35 96.45 0.011 96.45 96.5 36.792
ESD 96.72 96.81 0.010 96.85 96.9 114.75
LSVM 96.58 96.83 0.010 96.82 96.9 30.087
SVM Kernel 96.69 96.75 0.010 96.82 96.8 878.01
LRK 96.06 96.21 0.012 96.40 96.4 276.76
LD 95.65 95.80 0.014 95.79 95.8 15.669
WNN 96.28 96.34 0.012 96.35 96.4 19.3

Bold represent best values.