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

Table 1

Result analysis of EDLFM-SI model with distinct measures under data set-1.

No. of runs	Precision	Sensitivity	Specificity	Accuracy	F-score
Run-1	0.9872	0.9856	0.9870	0.9863	0.9864
Run-2	0.9888	0.9904	0.9886	0.9895	0.9896
Run-3	0.9880	0.9880	0.9878	0.9879	0.9880
Run-4	0.9873	0.9912	0.9870	0.9891	0.9892
Run-5	0.9881	0.9920	0.9878	0.9899	0.9900
Run-6	0.9888	0.9880	0.9886	0.9883	0.9884
Run-7	0.9864	0.9864	0.9862	0.9863	0.9864
Run-8	0.9880	0.9872	0.9878	0.9875	0.9876
Run-9	0.9904	0.9872	0.9902	0.9887	0.9888
Run-10	0.9904	0.9888	0.9902	0.9895	0.9896
Average	0.9883	0.9885	0.9881	0.9883	0.9884