Using Black Hole Algorithm to Improve EEG-Based Emotion Recognition

Table 2

Computational results of the approximate approach.

It.	Accuracy
	Minimum	Average	Standard Deviation	Maximum
1	85.34	87.45	1.18E+04	89.33
2	86.20	88.05	8.89E+03	89.61
3	87.43	88.84	6.67E+03	90.28
4	87.95	89.14	7.32E+03	91.18
5	87.95	89.61	1.10E+04	92.13
6	88.19	89.95	1.15E+04	92.13
7	88.47	90.26	1.13E+04	92.27
8	88.66	90.53	1.15E+04	92.46
9	89.09	90.81	1.05E+04	92.46
10	89.23	91.08	9.90E+03	92.50
11	89.52	91.23	9.35E+03	92.50
12	89.52	91.45	7.81E+03	92.55
13	89.56	91.53	7.74E+03	92.55
14	90.09	91.65	6.72E+03	92.55
15	90.09	91.70	6.37E+03	92.55
16	90.32	91.75	5.98E+03	92.60
17	90.42	91.80	5.61E+03	92.60
18	90.42	91.83	5.58E+03	92.60
19	90.65	91.87	5.43E+03	92.60
20	90.80	91.89	5.28E+03	92.60