[Retracted] A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images

Table 1

Classification output of the proposed method using VGG16 and EFA.

Classifier	Recall rate (%)	Precision rate (%)	FNR (%)	AUC	Accuracy (%)	Time (sec)
Linear SVM	95.26	95.33	4.74	0.993	95.3	157.58
Quadratic SVM	97.13	97.16	2.87	1.0	97.2	176.35
Cubic SVM	97.63	97.63	2.37	1.0	97.6	189.19
Medium Gaussian SVM	96.43	96.43	3.57	0.993	96.4	229.82
Fine KNN	96.96	96.96	3.04	0.976	97.0	247.06
Medium KNN	93.83	93.86	6.17	0.986	93.8	254.59
Cosine KNN	94.9	94.9	5.1	0.993	94.9	273.3
Cubic KNN	92.86	92.93	7.14	0.986	92.19	1471.3
Weighted SVM	94.86	94.86	5.14	0.993	94.8	305.36
Subspace KNN	96.83	96.83	3.17	0.993	96.8	975.05