Table 8.

The effect of different feature selection methods on average classification accuracy of various datasets.

Feature Extraction	Feature Selection	Dataset 1	Dataset 2	Dataset 3	Dataset 4	All Data
CSP-Wavelet	F-score	82.86	80.79	75.83	76.79	79.76
	GA	79.29	80.09	75.97	75.12	78.76
	BPSO	81.29	80.17	78.47	76.43	79.46
	LASSO	82.71	82.69	77.64	78.57	81.46
	LOG	84.29	83.4	78.19	79.4	82.25
CSP-WPD	F-score	81.57	80.56	75.56	77.97	79.67
	GA	81.57	80.59	74.72	77.14	79.47
	BPSO	81.14	80.08	74.86	75.59	78.86
	LASSO	85.43	82.91	75.97	79.17	81.75
	LOG	85	83.05	78.75	80.83	82.38
CSP-FB	F-score	82.29	80.74	78.75	77.26	80.07
	GA	81.86	80.03	78.75	74.05	79.05
	BPSO	81.86	79.49	79.17	73.81	78.7
	LASSO	86	82.57	80.97	78.81	82.06
	LOG	88.86	82.15	81.53	80.12	82.3