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Comparisons of training and test accuracies (ACC, %), sensitivity (SN), specificity (SP), and MCC for the HP dataset.
| Method | No. of used features (C, γ) | 10-CV HPL | Independent test HPT | ||||||
|---|---|---|---|---|---|---|---|---|---|
| ACC | SN | SP | MCC | ACC | SN | SP | MCC | ||
| SVM-GSD | 36 (28, 2−2) | 97.4 | 0.972 | 0.976 | 0.949 | 93.6 | 0.930 | 0.941 | 0.872 |
| SVM-4mer | 128 (23, 2−3) | 94.2 | 0.949 | 0.936 | 0.885 | 91.0 | 0.953 | 0.867 | 0.823 |
| SVM-RBS | 82 (27, 2−5) | 96.0 | 0.964 | 0.956 | 0.920 | 91.9 | 0.885 | 0.962 | 0.840 |
| PromHD | 99 (27, 2−5) | 98.9 | 0.979 | 0.979 | 0.979 | 96.4 | 0.967 | 0.960 | 0.927 |
