Table 4.
Results for the cross-validation for the parameter definition of the support vector machine. The area under the ROC curve and the accuracy are presented as mean ± standard deviation. The optimal values for cost (C) and gamma (γ) are also shown. The random threshold was set to 50 for all tests.
| Combination | AUC | Accuracy | C Value | r Value |
|---|---|---|---|---|
| 2 indices | 0.8339 ± 0.0655 | 82.14 ± 8.18 | 7.5 | 0.1250 |
| 3 indices | 0.8433 ± 0.0827 | 84.55 ± 7.25 | 9.0 | 1.0000 |
| 4 indices | 0.8557 ± 0.0799 | 85.80 ± 6.71 & | 5.0 | 8.0000 |
| 5 indices | 0.8578 ± 0.0768 * | 84.64 ± 6.61 | 8.5 | 0.7071 |
| 6 indices | 0.8403 ± 0.0716 | 85.27 ± 5.06 | 8.5 | 0.7071 |
| 7 indices | 0.8397 ± 0.0811 | 84.02 ± 5.13 | 2.0 | 0.7071 |
| 8 indices | 0.8534 ± 0.0700 | 83.75 ± 9.09 | 8.0 | 0.1250 |
| 9 indices | 0.8379 ± 0.0671 | 81.34 ± 5.65 | 8.0 | 0.7071 |
| 10 indices | 0.8421 ± 0.0708 | 82.77 ± 5.91 | 1.5 | 1.0000 |
| 11 indices | 0.8378 ± 0.1001 | 84.20 ± 8.91 | 6.0 | 0.1768 |
| 12 indices | 0.8271 ± 0.0841 | 81.25 ± 6.13 | 8.0 | 0.2500 |
| 13 indices | 0.7972 ± 0.0705 | 79.55 ± 6.24 | 10.0 | 0.1250 |
| 14 indices | 0.8022 ± 0.1060 | 80.27 ± 10.25 | 2.0 | 0.7071 |
AUC: Area under the ROC curve; * best AUC; & best accuracy.