Optimal Deep-Learning-Enabled Intelligent Decision Support System for SARS-CoV-2 Classification

Table 2

Comparative analysis of EDLFM-SI model with existing approaches under data set-1.

Methods	Precision	Sensitivity	Accuracy	F-score
EDLFM-SI	0.9904	0.9920	0.9899	0.9900
xDNN model	0.0916	0.9553	0.9738	0.9731
RN model	0.9300	0.9715	0.9496	0.9503
GN model	0.9020	0.9350	0.9173	0.9182
VGG-16	0.9402	0.9543	0.9496	0.9497
AN model	0.9498	0.9228	0.9375	0.9361
DT model	0.7681	0.8313	0.7944	0.7984