From: A unified frame of predicting side effects of drugs by using linear neighborhood similarity
Dataset | Method | AUC | AUPR | Hamming Loss | Ranking Loss | One Error | Coverage | Average Precision |
---|---|---|---|---|---|---|---|---|
Pauwels’s dataset | Pauwels’s method | 0.8827 | 0.3883 | 0.0577 | 0.0827 | 0.1779 | 832.7827 | 0.4616 |
LNSM | 0.8941 | 0.4491 | 0.0444 | 0.0713 | 0.1633 | 790.9471 | 0.5126 | |
Mizutani’s dataset | Mizutani’s method | 0.8665 | 0.4107 | 0.0557 | 0.0888 | 0.1854 | 862.9757 | 0.4795 |
LNSM | 0.8946 | 0.4624 | 0.0499 | 0.0746 | 0.1581 | 805.8875 | 0.5170 | |
Liu’s dataset | Liu’s method | 0.8850 | 0.2514 | 0.0721 | 0.0927 | 0.9291 | 837.4579 | 0.2610 |
FS-MLKNN | 0.9034 | 0.4802 | 0.0524 | 0.0703 | 0.1202 | 795.9435 | 0.5134 | |
LNSM-SMI | 0.8986 | 0.5053 | 0.0435 | 0.0670 | 0.1154 | 789.8486 | 0.5476 |