Table 5.

Decision-level fusion supervised network classification results.

Subject/Session	Correct	Hits	False alarms	AUC	Balanced accuracy
A-1	87.62 ± 2.11	76.72 ± 2.01	11.78 ± 2.26	0.9 ± 0.02	82.47 ± 1.65
A-2	86.59 ± 1.14	74.2 ± 2.55	12.24 ± 0.97	0.89 ± 0.03	80.98 ± 1.24
A-3	85.45 ± 2.16	71.43 ± 2.3	13.41 ± 2.53	0.88 ± 0.03	79.01 ± 1.2
A-4	85.07 ± 3.38	77.51 ± 3.86	14.51 ± 3.61	0.91 ± 0.03	81.5 ± 2.35
A-5	91.38 ± 1.56	74.43 ± 3.25	7.49 ± 1.69	0.92 ± 0.03	83.53 ± 1.75
A-6	89.08 ± 1.55	73.42 ± 2.34	9.56 ± 1.8	0.94 ± 0.02	81.77 ± 0.72
B-1	88.87 ± 3.65	77.68 ± 3.96	10.38 ± 3.96	0.92 ± 0.03	83.55 ± 2.89
B-2	87.74 ± 1.51	75.77 ± 4.52	11.31 ± 1.83	0.9 ± 0.05	82.2 ± 2.2
B-3	88.77 ± 2.82	72.86 ± 3.68	10.13 ± 3.11	0.9 ± 0.04	81.47 ± 2.36
B-4	86.83 ± 1.6	74.53 ± 5.93	12.1 ± 1.9	0.92 ± 0.02	81.62 ± 2.86
B-5	87.82 ± 1.99	74.47 ± 2.4	11.09 ± 2.09	0.91 ± 0.03	81.89 ± 1.78
B-6	91.96 ± 1.19	73.84 ± 3.12	6.85 ± 1.2	0.9 ± 0.03	83.48 ± 1.83
Mean	88.1 ± 2.09	74.74 ± 1.88	10.9 ± 2.22	0.91 ± 0.02	81.96 ± 1.28