From: EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction
A375 | AUC | F1 score | F1 score* | Recall | Precision | Rank | Rank* | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Additive | Antagonism | Synergy | Additive | Antagonism | Synergy | ||||||
SVM | 0.5128 | 0.2565 | 0.1858 | 0.5351 | 0.2106 | 0.1655 | 0.5014 | 0.1139 | 0.2535 | 9.0 | 8.5 |
KNN | 0.5487 | 0.2940 | 0.1568 | 0.6722 | 0.2153 | 0.0625 | 0.5445 | 0.2354 | 0.1250 | 8.1 | 8.6 |
XGB | 0.6226 | 0.3924 | 0.2792 | 0.7867 | 0.3134 | 0.2060 | 0.6089 | 0.4181 | 0.1857 | 4.0 | 4.3 |
MLP | 0.6039 | 0.3989 | 0.3320 | 0.7193 | 0.3244 | 0.2286 | 0.6109 | 0.4274 | 0.4037 | 3.0 | 2.6 |
DT | 0.5433 | 0.3813 | 0.3145 | 0.5745 | 0.2805 | 0.3667 | 0.5600 | 0.2718 | 0.3400 | 6.0 | 5.0 |
GDBT | 0.6141 | 0.4037 | 0.3114 | 0.7990 | 0.2887 | 0.1810 | 0.5809 | 0.5357 | 0.3889 | 3.5 | 3.6 |
RF | 0.5820 | 0.3629 | 0.2521 | 0.8190 | 0.2203 | 0.1298 | 0.5694 | 0.3258 | 0.5750 | 5.3 | 5.6 |
Single-layer Network | 0.5077 | 0.2221 | 0.1408 | 0.4365 | 0.2619 | 0.1667 | 0.3684 | 0.1580 | 0.0519 | 9.6 | 9.0 |
DeepSynergy | 0.5097 | 0.2906 | 0.0791 | 0.9627 | 0.0000 | 0.1005 | 0.5703 | 0.0000 | 0.3730 | 7.7 | 9.6 |
MatchMaker | 0.5728 | 0.2515 | 0.1778 | 0.4577 | 0.3839 | 0.1944 | 0.5980 | 0.1469 | 0.1099 | 6.8 | 6.5 |
EDST | 0.6278 | 0.4236 | 0.3539 | 0.6540 | 0.3330 | 0.3190 | 0.6113 | 0.4009 | 0.3732 | 2.7 | 2.3 |