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

Table 4

Classification output of the proposed method using fusion of all optimal features.

Classifier	Recall rate (%)	Precision rate (%)	FNR (%)	AUC	Accuracy (%)	Time (sec)
Linear SVM	95.2	95.3	4.8	0.993	95.2	30.564
Quadratic SVM	97.2	97.26	2.8	1	97.2	34.323
Cubic SVM	97.9	97.9	2.1	1	97.9	34.323
Medium Gaussian SVM	95.86	95.9	4.14	0.993	95.9	49.809
Fine KNN	95.26	95.23	4.77	0.96	95.3	22.065
Medium KNN	90.73	91.36	9.27	0.98	90.8	22.441
Cosine KNN	94.8	94.83	5.2	2.98	94.8	27.401
Cubic KNN	89.9	90.3	10.1	0.97	89.9	163.2
Weighted SVM	91.7	92.7	8.3	0.986	91.7	26.045
Subspace KNN	95.16	95.2	4.84	0.986	95.2	93.763