Table 2.

Classification results of DarknNet53 using ultrasound images, where the training/testing ratio is 50:50.

Classifier	Sensitivity (%)	Precision (%)	F1 Score (%)	Accuracy (%)	FNR	Classification Time (s)
CSVM	99.2	99.2	99.2	99.3	0.8	200.697
MGSVM	99.2	99.2	99.2	99.2	0.8	207.879
QSVM	99.16	99.16	99.16	99.2	0.84	159.21
ESD	98.8	98.8	98.8	98.9	1.2	198.053
LSVM	98.93	98.93	98.93	98.9	1.07	122.98
ESKNN	98.6	98.6	98.6	98.7	1.4	189.79
FKNN	98.7	98.7	98.7	98.7	1.3	130.664
LD	98.6	98.6	98.6	98.6	1.4	120.909
CGSVM	98.16	98.2	98.17	98.2	1.84	133.085
WKNN	97.9	97.93	97.91	97.9	2.1	129.357