Research Article
Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification
Table 3
Best model parameters and sigmoid parameters for each subject in BCI Competition IV Dataset 2a.
| Subjects | TSVM (PPTSVM) | SVM (PPSVM) | / | | / | | | / |
| A1 | 0.25/0.25 | 2.25 | 0.0021/−10.8360 | 1.25 | 3.25 | 0.5137/−3.1760 | A2 | 2.25/2.25 | 2.25 | 0.1625/−143.8536 | 2.25 | 2.25 | 0.5102/−2.9896 | A3 | 0.25/0.25 | 2.25 | 0.0550/−13.2102 | 0.25 | 1.25 | −0.2401/−3.8991 | A4 | 0.25/2.25 | 2.25 | 0.1680/−126.5687 | 1.25 | 1.25 | −0.3945/−3.1796 | A5 | 0.25/0.25 | 0.25 | 0.0059/−186.2766 | 3.25 | 1.25 | 0.6197/−3.5109 | A6 | 0.25/2.25 | 1.25 | 0.1853/−85.6740 | 2.25 | 2.25 | −0.4072/−2.6546 | A7 | 0.25/0.25 | 2.25 | 0.0806/−21.3598 | 3.25 | 2.25 | −0.1001/−2.9976 | A8 | 0.25/1.25 | 1.25 | 0.5234/−229.3538 | 1.25 | 1.25 | −0.5236/−3.7116 | A9 | 0.25/0.25 | 2.25 | −0.1761/−19.3798 | 2.25 | 2.25 | 0.3187/−3.3938 |
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