Motor Imagery EEG Classification Based on Decision Tree Framework and Riemannian Geometry

Table 3

Ten-folder cross-validation results (%) obtained using SJGDA and KNN in OVR scheme applied on BCI competition dataset 2A.

Subject	A01	A02	A03	A04	A05	A06	A07	A08	A09	Mean	Std
L/RE	90.29	74.62	93.05	75.02	75.31	78.15	85.08	92.35	95.14	84.33	8.12
R/RE	91.34	77.11	94.47	77.07	73.61	75.74	81.58	93.41	87.53	83.54	7.75
F/RE	85.06	83.70	84.77	77.11	75.36	77.09	88.17	82.30	85.44	82.11	4.24
T/RE	88.89	76.72	89.25	80.91	78.51	76.04	89.27	94.08	93.41	85.23	6.76