Table 2.

Classification accuracies in (%) for all channel selection with different brain areas using different classification techniques

Subjects	BA1						BA2						BA3
	ELM	Polynomial-SVM	Linear-SVM	LDA	KNN	NB	ELM	Polynomial-SVM	Linear-SVM	LDA	KNN	NB	ELM	Polynomial-SVM	Linear-SVM	LDA	KNN	NB
S1	33.17	38.50	29.37	21.15	18.20	15.21	34.27	39.12	30.32	22.43	18.76	17.60	37.28	40.32	32.23	24.23	20.34	18.34
S2	36.45	39.20	26.47	22.26	17.98	16.92	37.52	40.72	27.51	23.13	18.20	16.22	38.16	42.54	30.19	26.90	19.29	18.78
S3	37.80	36.50	30.13	23.00	16.45	13.30	38.16	38.50	31.23	22.67	16.40	16.30	40.27	40.23	33.13	24.80	17.15	16.78
S4	34.78	33.20	26.78	24.90	19.12	16.91	37.19	34.20	27.78	22.12	20.00	18.17	38.88	36.45	29.18	25.18	19.89	19.21
S5	35.93	35.89	30.97	21.60	18.56	16.29	36.91	36.81	29.17	24.19	19.45	17.78	38.23	37.88	32.50	27.13	19.14	19.10
S6	35.15	37.17	28.56	23.90	17.83	16.84	34.8	37.67	28.51	24.86	18.81	19.4	37.02	39.10	30.45	23.54	19.10	18.82
AVG	35.55	36.74	28.71	22.80	18.02	15.91	36.48	37.84	29.09	23.23	18.60	17.58	38.31	39.42	31.28	25.30	19.15	18.51
SD	9.45	7.36	8.91	9.29	10.34	8.23	5.38	6.36	9.67	10.39	6.40	11.32	9.67	5.76	10.12	8.17	7.39	9.55