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Results of SVM prediction using Bayes Feature Extraction
| SVM classifier | Sensitivity (%) | Specificity (%) | Accuracy (%) | AROC |
|---|---|---|---|---|
| P2P2’-Bayes | 71.00 | 71.00 | 71.00 | 0.78 |
| P4P1-Bayes | 79.00 | 74.00 | 76.50 | 0.84 |
| P4P2’-Bayes | 82.00 | 80.00 | 81.00 | 0.89 |
| P4P4’-Bayes | 82.00 | 81.00 | 81.50 | 0.91 |
| P6P6’-Bayes | 86.00 | 84.00 | 85.00 | 0.91 |
| P8P8’-Bayes | 89.00 | 84.00 | 86.50 | 0.93 |
| P10P10’-Bayes | 87.00 | 85.00 | 86.00 | 0.94 |
| P14P10’-Bayes | 88.00 | 82.00 | 85.00 | 0.94 |
