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

Table 1

Result analysis of the HBODTL-DC technique with various measures and runs.

Class labels	Accuracy	Precision	Sensitivity	Specificity	F-score
Run-1
COVID-19	99.41	99.20	99.38	99.43	99.29
Healthy	99.24	99.53	98.64	99.67	99.08
Viral pneumonia	99.47	97.66	99.33	99.50	98.49
Average	99.38	98.80	99.12	99.54	98.95
Run-2
COVID-19	99.51	99.32	99.50	99.52	99.41
Healthy	99.45	99.66	99.01	99.76	99.33
Viral pneumonia	99.58	98.24	99.33	99.63	98.78
Average	99.51	99.07	99.28	99.64	99.17
Run-3
COVID-19	99.72	99.69	99.63	99.78	99.66
Healthy	99.73	100.00	99.35	100.00	99.67
Viral pneumonia	99.70	98.32	100.00	99.64	99.15
Average	99.72	99.34	99.66	99.81	99.49
Run-4
COVID-19	99.88	99.75	99.97	99.82	99.86
Healthy	99.95	99.97	99.91	99.98	99.94
Viral pneumonia	99.94	100.00	99.63	100.00	99.81
Average	99.92	99.91	99.83	99.93	99.87
Run-5
COVID-19	99.81	99.66	99.88	99.76	99.77
Healthy	99.87	99.88	99.81	99.91	99.84
Viral pneumonia	99.88	99.85	99.48	99.97	99.66
Average	99.85	99.80	99.72	99.88	99.76