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

Table 2

Classification output of the proposed method using ResNet50 and EFA.

Classifier	Recall rate (%)	Precision rate (%)	FNR (%)	AUC	Accuracy (%)	Time (sec)
Linear SVM	95.96	96.06	3.04	0.993	96.0	95.626
Quadratic SVM	96.93	97	3.07	0.996	96.9	107.41
Cubic SVM	97.20	97.23	2.8	1	97.2	121.81
Medium Gaussian SVM	95.0	95.0	5.0	0.993	95.0	140.97
Fine KNN	93.03	93.13	6.97	0.95	93.1	143.19
Medium KNN	89.9	90.86	10.1	0.98	89.9	151.14
Cosine KNN	93.36	93.33	6.64	0.986	93.4	162.94
Cubic KNN	89.9	90.43	10.1	0.976	89.9	609.23
Weighted SVM	89.76	91.1	10.24	8.986	89.8	178.37
Subspace KNN	94.13	94.1	5.87	0.986	94.1	440.78