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Table 3 Classification results of algorithms on the melanoma cell line dataset A375

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