Table 4.

Results of the proposed CNN without hyperparameter optimization.

Classifier	A	R	P	F	K	AUROC	AUPRC
SARS-COV-2 CT-Scan Dataset
Random forest	0.979	0.980	0.979	0.979	0.959	0.910	0.913
MLP	0.981	0.981	0.982	0.981	0.963	0.935	0.944
SVM	0.979	0.979	0.980	0.979	0,959	0.908	0.911
XGBoost	0.985	0.985	0.985	0.985	0.971	0.937	0.958
COVID-CT Dataset
Random forest	0.917	0.916	0.912	0.914	0.829	0.906	0.904
MLP	0.905	0.902	0.910	0.904	0.810	0.899	0.879
SVM	0.905	0.906	0.907	0.904	0.809	0.900	0.889
XGBoost	0.917	0.917	0.917	0.917	0.835	0.908	0.905

Values in bold indicate the best results found for all classifiers.