EDST: a decision stump based ensemble algorithm for synergistic drug combination prediction

BMC Bioinformatics

Table 8 Classification results of algorithms using leave drug combinations out on HT29

HT29	AUC	F1 score	F1 score*	Recall			Precision			Rank	Rank*
HT29	AUC	F1 score	F1 score*	Additive	Antagonism	Synergy	Additive	Antagonism	Synergy	Rank	Rank*
SVM	0.5963	0.3566	0.1974	0.8117	0.1560	0.1381	0.6231	0.2758	0.3253	5.8	5.8
KNN	0.5574	0.3429	0.1641	0.8660	0.1154	0.1147	0.6306	0.3209	0.2517	6.3	8.0
XGB	0.6046	0.3559	0.1864	0.8737	0.1145	0.1378	0.6258	0.3090	0.4061	4.7	5.8
MLP	0.5989	0.3448	0.1826	0.8462	0.1190	0.1418	0.6220	0.3028	0.3072	6.1	6.3
DT	0.5067	0.3710	0.2527	0.6153	0.2574	0.2611	0.6238	0.2332	0.2597	6.1	6.0
GDBT	0.6073	0.3655	0.2009	0.8641	0.1424	0.1435	0.6374	0.3020	0.3738	3.7	4.5
RF	0.6121	0.3451	0.1884	0.8180	0.1137	0.1763	0.6279	0.2123	0.3260	5.7	6.1
Single-layer Network	0.5284	0.2031	0.2482	0.3675	0.1728	0.4745	0.3439	0.1454	0.2572	8.1	6.0
DeepSynergy	0.5118	0.2526	0.0576	0.8470	0.1346	0.0000	0.6155	0.1007	0.0000	9.1	10.1
MatchMaker	0.5777	0.3124	0.3177	0.3759	0.5420	0.3039	0.5733	0.2605	0.2483	7.1	5.0
EDST	0.6129	0.4159	0.3283	0.5945	0.3464	0.3453	0.6499	0.3504	0.2746	2.8	2.1

ISSN: 1471-2105