Table 5 Comparison of H-SVM-LR with the method of Tang et al. [22].
From: Predicting beta-turns in proteins using support vector machines with fractional polynomials
Prediction method | Dataset | Qtotal | Qpredicted | Qobserved | MCC |
|---|---|---|---|---|---|
H-SVM-LR | BT426 | 87.37 | 74.99 | 75.20 | 0.67 |
Tang et al. | 87.2 | 73.8 | 75.9 | 0.66 | |
H-SVM-LR | BT547 | 88.64 | 77.79 | 76.31 | 0.70 |
Tang et al. | 87.3 | 69.8 | 86.5 | 0.69 | |
H-SVM-LR | BT823 | 89.55 | 79.53 | 77.73 | 0.72 |
Tang et al. | 88.7 | 72.6 | 88.1 | 0.73 |