Investigating Feature Ranking Methods for Sub-Band and Relative Power Features in Motor Imagery Task Classification

Table 1

Classification accuracy of different classifiers.

Subjects	Classification accuracy (in %)
	Tree	Fine KNN	Weighted KNN	Quadratic SVM	Random forest
S01	89.1	92.9	94.3	65.3	89.4
S02	87.3	91.9	92.8	70.5	91.1
S03	89.5	92.9	94.2	71	91.34
S04	88.2	90.6	93.6	67.3	90.625
S05	85.5	91.8	93.1	66.1	86.77
S06	87.7	90.2	93.1	58.4	90.86
S07	88.7	89.1	91.6	69	87.01
S08	86.7	91.3	92.9	64.4	89.66
S09	92	92.7	95.2	73.7	92.78
S10	87.7	92.9	94.3	67.5	91.34
AVG	88.24	91.63	93.51	67.32	90.0885

Bold letters show the maximum classification accuracy of the classifier.