From: EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction
HT29 | AUC | F1 score | F1 score* | Recall | Precision | Rank | Rank* | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Additive | Antagonism | Synergy | Additive | Antagonism | Synergy | ||||||
SVM | 0.6363 | 0.4294 | 0.2879 | 0.8247 | 0.1578 | 0.2929 | 0.6462 | 0.2933 | 0.5040 | 5.1 | 5.6 |
KNN | 0.5769 | 0.3892 | 0.2188 | 0.8714 | 0.0969 | 0.2143 | 0.6464 | 0.3128 | 0.4242 | 6.2 | 7.6 |
XGB | 0.6523 | 0.4494 | 0.3143 | 0.8224 | 0.1860 | 0.3143 | 0.6373 | 0.3279 | 0.5178 | 4.0 | 3.3 |
MLP | 0.6441 | 0.3961 | 0.2411 | 0.8602 | 0.1123 | 0.2214 | 0.6347 | 0.3694 | 0.4995 | 5.3 | 5.6 |
DT | 0.5673 | 0.4018 | 0.2922 | 0.6251 | 0.2906 | 0.2929 | 0.6285 | 0.2746 | 0.3110 | 7.0 | 6.3 |
GDBT | 0.6574 | 0.4257 | 0.2802 | 0.8115 | 0.1712 | 0.2786 | 0.6495 | 0.3091 | 0.4344 | 4.8 | 5.3 |
RF | 0.6569 | 0.4041 | 0.2468 | 0.8449 | 0.2017 | 0.1571 | 0.6404 | 0.3957 | 0.3953 | 4.8 | 5.3 |
Single-layer Network | 0.4829 | 0.2101 | 0.1821 | 0.2985 | 0.4966 | 0.1643 | 0.5861 | 0.1602 | 0.0913 | 9.5 | 9.1 |
DeepSynergy | 0.5073 | 0.3739 | 0.0411 | 0.9665 | 0.0200 | 0.0240 | 0.6203 | 0.3400 | 0.3000 | 7.8 | 9.1 |
MatchMaker | 0.6142 | 0.2922 | 0.3040 | 0.2067 | 0.6496 | 0.4286 | 0.4965 | 0.2434 | 0.1801 | 7.7 | 5.5 |
EDST | 0.6593 | 0.4603 | 0.42825 | 0.4189 | 0.5148 | 0.6286 | 0.7231 | 0.3223 | 0.3824 | 3.3 | 2.8 |