Classification of Motor Imagery EEG Signals with Support Vector Machines and Particle Swarm Optimization

Table 3

The classification results of PSO-SVM and traditional methods for 2008 Dataset 1.

Accuracy (%)	a		b		f		e
	Max	Average	Max	Average	Max	Average	Max	Average
Decision tree	84.5	81.4	74.6	72.5	86.2	84.5	84.6	78.2
BP	85.6	82.2	74.8	73.2	87.6	85.4	83.4	81.5
KNN	90.6	86.5	78.6	76.8	91.4	87.1	84.2	82.8
LDA	89.4	86.2	80.5	76.6	90.8	86.0	86.4	82.2
SVM	91.7	86.8	78.0	76.3	95.0	86.1	90.5	78.3
PSO-SVM	91.3	88.1	83.5	80.1	95.2	89.7	92.0	83.1