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Results of SVM with a sigmoid kernel.
| Sigmoid | Mean | St. deviation | Best |
|---|---|---|---|
| Sensitivity (8 features) | 56.33% | 12.61% | 77.78% |
| Specificity (8 features) | 60.62% | 14.35% | 84.61% |
| Accuracy (8 features) | 58.13% | 9.17% | 80.65% |
| Sensitivity (12 features) | 56.50% | 12.41% | 66.67% |
| Specificity (12 features) | 60.77% | 14.36% | 100.00% |
| Accuracy (12 features) | 58.29% | 9.16% | 80.65% |
