[Retracted] Advanced Cognitive Algorithm for Biomedical Data Processing: COVID-19 Pattern Recognition as a Case Study

Table 4

Output results for SVM, AlexNet, and GoogLeNet.

Dataset	Model	Accuracy	Sensitivity	Specificity	Precision	F1-score
DS_1	SVM	80.96	79.65	81.91	76.33	77.96
DS_2		62.47	71.88	45.78	70.16	71.01
DS_3		99.23	99.23	99.23	99.23	99.23
DS_4		83.83	79.44	88.11	86.67	82.90
DS_5		98.94	98.95	98.94	98.21	98.57
DS_6		61.11	100	22.22	56.25	72
DS_1	AlexNet	88.82	92	86.50	83.31	87.44
DS_2		63.94	62.24	67.47	79.83	69.95
DS_3		100	100	100	100	100
DS_4		88.21	85.56	90.81	90.06	87.75
DS_5		99	98.50	99.29	98.79	98.64
DS_6		80.56	88.89	72.22	76.19	82.05
DS_1	GoogLeNet	89.12	90.43	88.15	84.83	87.54
DS_2		51.08	45.49	62.67	71.60	55.63
DS_3		100	100	100	100	100
DS_4		82.47	79.44	85.41	84.12	81.71
DS_5		99.67	99.55	99.73	99.55	99.55
DS_6		87.5	97.22	77.77	81.40	88.60
DS_1	BOA + NN	91.54	92.35	90.93	88.58	90.42
DS_2		70.46	69.37	71.89	76.39	72.71
DS_3		100.00	100.00	100.00	100.00	100.00
DS_4		89.86	89.82	89.90	88.24	89.02
DS_5		99.72	99.70	99.73	99.55	99.62
DS_6		91.30	97.22	84.85	87.50	92.11