Table 4. Markov network (MN) and SVMcon comparison.
Mean specificity, sensitivity, and Fmax of Markov networks (all guesses and top-L guesses) and SVMcon across different sequence separations.
| Method | Sep. ≥6 | Sep. ≥12 | Sep. ≥24 | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Spec. | Sen. | Fmax | Spec. | Sen. | Fmax | Spec. | Sen. | Fmax | |
| MN, all guesses | 0.144 | 0.349 | 0.102 | 0.132 | 0.281 | 0.090 | 0.108 | 0.209 | 0.071 |
| MN, top-L guesses | 0.268 | 0.136 | 0.090 | 0.218 | 0.123 | 0.079 | 0.155 | 0.119 | 0.067 |
| SVMcon | 0.37 | 0.21 | 0.13 | 0.30 | 0.20 | 0.12 | 0.21 | 0.19 | 0.01 |