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 | 0.5256 | 0.3291 | 0.2164 | 0.5800 | 0.2500 | 0.1714 | 0.5463 | 0.2500 | 0.1950 | 8.3 | 9.0 |
KNN | 0.5729 | 0.3934 | 0.2678 | 0.7867 | 0.1400 | 0.2286 | 0.5787 | 0.5000 | 0.4800 | 4.7 | 5.5 |
XGB | 0.5946 | 0.3905 | 0.3104 | 0.5543 | 0.3000 | 0.3714 | 0.5745 | 0.2500 | 0.3274 | 5.6 | 4.6 |
MLP | 0.6441 | 0.3980 | 0.2921 | 0.6771 | 0.3000 | 0.2286 | 0.5828 | 0.2733 | 0.3800 | 4.2 | 4.8 |
DT | 0.5673 | 0.3330 | 0.2679 | 0.4305 | 0.3429 | 0.2500 | 0.5152 | 0.2756 | 0.2133 | 7.0 | 5.6 |
GDBT | 0.6574 | 0.3538 | 0.2620 | 0.5552 | 0.2857 | 0.2500 | 0.5635 | 0.2530 | 0.2600 | 6.1 | 5.8 |
RF | 0.6569 | 0.4000 | 0.3070 | 0.6762 | 0.2000 | 0.3143 | 0.5789 | 0.3300 | 0.4321 | 3.8 | 4.0 |
Single-layer Network | 0.5086 | 0.2242 | 0.0994 | 0.6000 | 0.2857 | 0.0500 | 0.4325 | 0.1288 | 0.0125 | 9.2 | 10.0 |
DeepSynergy | 0.5071 | 0.3791 | 0.2345 | 0.8124 | 0.1500 | 0.2286 | 0.6037 | 0.3000 | 0.3167 | 5.8 | 7.8 |
MatchMaker | 0.5120 | 0.2124 | 0.2346 | 0.3000 | 0.4800 | 0.1500 | 0.1435 | 0.3308 | 0.0429 | 8.3 | 7.0 |
EDST | 0.6625 | 0.4680 | 0.4220 | 0.5286 | 0.5143 | 0.3900 | 0.6216 | 0.4593 | 0.3319 | 2.5 | 1.6 |