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

Table 3

Classification output of the proposed method using ResNet101 and EFA.

Classifier	Recall rate (%)	Precision rate (%)	FNR (%)	AUC	Accuracy (%)	Time (sec)
Linear SVM	95.0	95.1	5	0.993	95.0	31.799
Quadratic SVM	97.0	97.06	3	1	97.0	33.323
Cubic SVM	97.5	97.5	2.5	1	97.5	35.945
Medium Gaussian SVM	95.56	95.56	4.44	0.993	95.6	42.995
Fine KNN	95.36	95.4	4.64	0.963	95.4	21.224
Medium KNN	90.83	91.43	9.17	0.983	90.8	20.741
Cosine KNN	95.06	95.1	4.94	0.993	95.1	22.4
Cubic KNN	90.36	90.6	9.64	0.98	90.4	146.63
Weighted SVM	91.6	92.66	8.4	0.986	91.6	20.812
Subspace KNN	95.56	95.56	4.44	0.99	95.6	92.172