Table 6.
Methods | Classifier | SPE | SEN | PRE | ACC | F1 | MCC | |
---|---|---|---|---|---|---|---|---|
HEP | SVM | 0.76 | 0.6 | 0.84 | 0.79 | 0.70 | 0.56 | |
PredHS-SVM | SVM | 0.93 | 0.79 | 0.59 | 0.83 | 0.68 | 0.57 | |
iPPHOT | SVM | 0.586 | 0.462 | 0.794 | 0.650 | 0.584 | 0.353 | |
KFC2a | SVM | 0.73 | 0.55 | 0.74 | 0.73 | 0.63 | 0.44 | |
KFC2b | SVM | 0.87 | 0.64 | 0.55 | 0.77 | 0.60 | 0.44 | |
PCRPi | Bayesian network | 0.75 | 0.51 | 0.39 | 0.69 | 0.44 | 0.25 | |
MINERVA | SVM | 0.90 | 0.65 | 0.44 | 0.76 | 0.52 | 0.38 | |
APIS | SVM | 0.76 | 0.57 | 0.72 | 0.75 | 0.64 | 0.45 | |
KFC | Decision trees | 0.85 | 0.48 | 0.31 | 0.69 | 0.38 | 0.19 | |
Robetta | Knowledge-based method | 0.88 | 0.52 | 0.33 | 0.72 | 0.41 | 0.25 | |
FOLDEF | Knowledge-based method | 0.88 | 0.48 | 0.26 | 0.69 | 0.34 | 0.17 |