Table 3 Performances of HIV-1 predictors on complete genome classification
From: A machine learning approach for viral genome classification
| Â | Â | Â | COMET | REGA | CASTOR | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Â | Â | # of instances | TPR | FPR | F-measure | TPR | FPR | F-measure | TPR | FPR | F-measure |
CRFs | HIV1_01_AE | 100 | 0.960 | 0.000 | 0.980 | 0.970 | 0.000 | 0.985 | 1.000 | 0.000 | 1.000 |
| Â | HIV1_02_AG | 10 | 0.900 | 0.000 | 0.947 | 0.700 | 0.000 | 0.824 | 0.900 | 0.007 | 0.818 |
| Â | Mean | Â | 0.930 | 0.000 | 0.964 | 0.835 | 0.000 | 0.905 | 0.950 | 0.004 | 0.909 |
Pure subtypes | HIV1_A | 100 | 0.660 | 0.000 | 0.795 | 0.990 | 0.000 | 0.995 | 0.940 | 0.000 | 0.969 |
| Â | HIV1_B | 100 | 0.910 | 0.000 | 0.953 | 1.000 | 0.000 | 1.000 | 0.960 | 0.003 | 0.975 |
| Â | HIV1_C | 100 | 0.970 | 0.000 | 0.985 | 1.000 | 0.000 | 1.000 | 0.970 | 0.003 | 0.980 |
| Â | Mean | Â | 0.847 | 0.000 | 0.911 | 0.997 | 0.000 | 0.998 | 0.957 | 0.002 | 0.975 |