Table 3.
Dataset | Method | Number | Precision | Recall | F-score |
---|---|---|---|---|---|
DIP | MCODE | 72 | 0.5138 | 0.1010 | 0.1689 |
COACH | 747 | 0.4310 | 0.4685 | 0.4490 | |
CMC | 709 | 0.3004 | 0.4631 | 0.3644 | |
ClusterONE | 363 | 0.5041 | 0.3661 | 0.4241 | |
GANE | 326 | 0.6012 | 0.4303 | 0.5016 | |
EWCA | 1028 | 0.5642 | 0.4767 | 0.5168 | |
SLPC | 766 | 0.6057 | 0.4631 | 0.5249 | |
SVCC only | 946 | 0.5898 | 0.4699 | 0.5231 | |
Our | 514 | 0.7684 | 0.4330 | 0.5539 | |
HPRD | COACH | 1914 | 0.3322 | 0.5805 | 0.4226 |
CMC | 2399 | 0.3384 | 0.7741 | 0.4710 | |
ClusterONE | 875 | 0.3942 | 0.3348 | 0.3621 | |
GANE | 755 | 0.3668 | 0.3124 | 0.3374 | |
EWCA | 1915 | 0.4976 | 0.5832 | 0.5370 | |
SLPC | 2431 | 0.4452 | 0.6901 | 0.5412 | |
MCODE | 137 | 0.5182 | 0.1050 | 0.1746 | |
SVCC only | 2649 | 0.3812 | 0.8243 | 0.5213 | |
Our | 1252 | 0.5559 | 0.7186 | 0.6268 |
The highest F-score is in bold