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

Table 4

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

Subject	A01	A02	A03	A04	A05	A06	A07	A08	A09	Mean	Std
L/R	90.95	67.29	94.52	63.87	64.48	70.33	70.29	97.95	95.00	79.41	13.85
L/F	95.19	87.43	93.93	81.84	68.10	77.14	98.57	88.29	93.81	87.14	9.29
L/T	96.52	64.24	96.57	83.24	73.67	69.91	97.95	97.23	99.29	86.51	13.16
R/F	95.90	87.52	95.05	84.84	66.71	72.88	97.24	93.18	87.43	86.75	10.01
R/T	99.33	79.82	96.48	79.12	72.22	71.48	97.24	95.05	92.29	87.00	10.61
F/T	83.94	84.17	86.62	75.10	62.62	74.21	88.31	93.10	90.33	82.04	9.10