Table 7.

Classification results with LPP algorithm for configurations with 8 channels.

	EEG Orig.	EEG 8 Channels
	8 Channels	LPP 3	LPP 5	LPP 10	LPP 15
Fine Tree	73.8	53.2	50.8	50.7	49.8
Medium Tree	75.5	53.8	49.8	51.2	52.2
Coarse Tree	75.8	50.4	48.6	50.3	55.6
Linear Discriminant	77.2	56.3	51.9	54.9	56.6
Quadratic Discriminant	63.4	55	50.7	53.1	52.1
Logistic Regression	50.5	56.3	52	54.8	57.5
Naïve Bayes	81.7	53.2	54.2	51.3	57
Kernel Naïve Bayes	79.8	53.8	51.2	50.2	55.6
Linear SVM	84.1	55.7	49.5	54	59.4
Quadratic SVM	84.4	56.2	52.5	52.7	58.8
Cubic SVM	83.7	52	54	52.1	54.9
Fine Gaussian SVM	50.5	51.8	50.5	53.5	54.5
Medium Gaussian SVM	85.4	52.5	50	51	55.1
Coarce Gaussian SVM	82.1	52.9	49.2	52.9	58.8
Fine KNN	69.2	49.8	48.9	52.1	53.1
Medium KNN	77.8	51.3	50.3	49.7	54.2
Coarse KNN	78.7	51.7	48.9	50.8	53.7
Cosine KNN	78.5	49.6	48.5	52.7	56.4
Cubic KNN	75.9	49.4	49.7	50.6	52.7
Weighted KNN	77.9	51.3	49.9	51.8	57.3
Ensemble Boosted Trees	82.3	51	48.3	51.7	54.9
Ensemble Bagged Trees	77.5	51.3	47.9	50.8	52.8
Ensemble Subspace Discriminant	71.8	55	51	53.5	58.4
Ensemble Subspace KNN	71.1	53	48.5	51.3	53.2
Ensemble RUSBoosted Trees	77	54	48.8	51.9	52.1