Machine Learning with Quantum Seagull Optimization Model for COVID-19 Chest X-Ray Image Classification

Table 1

Results of the analysis of QSGOA-DL model against different training/testing datasets.

Measures	Precision	Sensitivity	Specificity	Accuracy	F-score	MCC
Training/testing (80 : 20)	0.9984	0.9981	0.9984	0.9983	0.9983	0.9966
Training/testing (70 : 30)	0.9972	0.9969	0.9972	0.9971	0.9971	0.9941
Training/testing (60 : 40)	0.9963	0.9953	0.9963	0.9958	0.9958	0.9916
Average	0.9973	0.9968	0.9973	0.9971	0.9971	0.9941