[Retracted] Automated COVID-19 Classification Using Heap-Based Optimization with the Deep Transfer Learning Model

Table 2

Comparative analysis of the HBODTL-DC technique with existing approaches.

Methods	Sensitivity	Specificity	Accuracy	Precision	F-score
DBHL	0.9900	0.9800	0.9853	0.9800	0.9800
DHL-2	0.9900	0.9700	0.9829	0.9700	0.9800
DHL-1	0.9800	0.9800	0.9814	0.9800	0.9800
ResNet-2	0.9700	0.9700	0.9721	0.9700	0.9700
TL-ResNet-2	0.9800	0.9800	0.9814	0.9800	0.9800
ResNet-1	0.9700	0.9700	0.9721	0.9700	0.9700
TL-RENet-1	0.9700	0.9900	0.9806	0.9900	0.9800
QSGOA-DL	0.9972	0.9986	0.9979	0.9986	0.9979
HBODTL-DC	0.9983	0.9993	0.9992	0.9991	0.9987