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The highest classification accuracy using the ordinary linear support vector machine (SVM) and the l1-regularized SVM, respectively.
| Methods | Stimulus | λ | No. of selected features | Accuracy (%) |
|---|---|---|---|---|
| Ordinal linear SVM | Positive | – | – | 81.3 |
| Negative | – | – | 78.1 | |
| l1-regurarized SVM | Positive | 0.13 | 10 | 93.8 |
| Negative | 0.24 | 21 | 87.5 |
