Table 3 The obtained mean and standard deviation values of the algorithms with [mean] ± [standard deviation] pattern.

From: Trader as a new optimization algorithm predicts drug-target interactions efficiently

 

Trader

WCC

PSO

TE

VIR

DVBA

CEFOA

EPO

ION

TGA

HTS

F1

253.1526 ± 91.38444

841.7066 ± 31.64796

477.6466 ± 18.94408

267.309375 ± 95.324573

959.4107 ± 5.94061

984.8087 ± 3.682139

950.7273 ± 11.24574

296.88529 ± 53.116245

976.356 ± 3.531292

301.05265 ± 124.06458

967.8077 ± 3.767768

F2

241.6875 ± 87.64757

839.1354 ± 34.11527

477.5999 ± 16.72475

264.262762 ± 0.2740584

960.1196 ± 5.092073

985.5377 ± 2.865412

948.5616 ± 12.12369

247.59292 ± 11.962224

977.6307 ± 2.102615

24.02758 ± 0.0752910

968.2255 ± 4.680692

F3

247.4043 ± 98.93201

850.3819 ± 37.43831

478.2538 ± 19.38222

235.281881 ± 0.3718979

959.8414 ± 6.465041

985.1427 ± 3.265755

948.7011 ± 10.60998

247.20669 ± 25.180205

976.7359 ± 4.132642

224.04293 ± 0.0750508

967.5905 ± 3.589742

F4

254.8232 ± 70.79901

847.9573 ± 42.10005

480.1671 ± 16.30009

262.355633 ± 96.352460

959.6194 ± 6.010377

985.1864 ± 3.512979

948.769 ± 11.73818

74.56383 ± 26.100591

976.3783 ± 3.778037

154.0341 ± 0.0900080

967.3514 ± 3.921301

F5

278.0891 ± 101.3598

848.5671 ± 37.93419

475.6191 ± 18.63996

216.298908 ± 0.4138509

959.3906 ± 5.015376

985.3614 ± 3.462716

952.145 ± 12.92692

366.49984 ± 17.768409

977.4732 ± 2.668033

297.03107 ± 39.083350

967.0254 ± 5.551571

F6

250.9852 ± 81.59639

838.3908 ± 35.51018

479.2404 ± 17.91999

299.244924 ± 102.31963

959.7162 ± 5.834993

985.3645 ± 3.358163

946.9678 ± 12.91631

305.46687 ± 67.032709

977.2192 ± 3.438642

300.01504 ± 49.081595

967.4208 ± 4.269639

F7

251.3358 ± 108.8897

841.1641 ± 39.66158

479.4888 ± 14.50753

2.367119 ± 0.3282396

961.0597 ± 6.120448

985.2691 ± 4.110173

948.9477 ± 11.33569

47.58055 ± 2.014534

976.1429 ± 3.420905

24.02266 ± 0.0841355

967.9891 ± 3.429372

F8

253.9236 ± 92.58586

846.1772 ± 39.51895

476.0835 ± 16.47731

29.276181 ± 3.40998

959.46 ± 6.371902

984.5531 ± 3.213782

949.5816 ± 11.30967

47.08275 ± 2.257234

977.3502 ± 2.663908

24.03074 ± 0.0772274

967.606 ± 4.560412

F9

260.6851 ± 102.8401

855.9507 ± 29.35375

479.3728 ± 21.17523

260.311927 ± 25.333143

959.9554 ± 5.546612

984.9158 ± 3.203462

947.1605 ± 13.9521

165.73816 ± 21.956847

977.6 ± 3.671616

233.0349 ± 44.073838

967.3254 ± 4.316765

F10

1.7736e-32 ± 1.253e-31

145.9045 ± 83.05286

29.76548 ± 5.045027

4.743712 ± 0.6323218

525.0646 ± 51.02185

288.105 ± 35.46705

51.30359 ± 11.50775

13.47461 ± 1.575858

99.40116 ± 15.27536

17.35812 ± 1.41808

74.66727 ± 10.12832

F11

5.1198e-72 ± 2.634e-71

0.03253717 ± 0.0231875

2.2715e-08 ± 1.502e-08

1.025448 ± 0.245046

0.2861472 ± 0.2577325

0.06544539 ± 0.0364154

0.00349084 ± 0.0016383

0.00548362 ± 0.0031898

0.01487591 ± 0.0094282

0.00577078 ± 0.0053602

0 ± 0

F12

0 ± 0

0.00220911 ± 0.0021401

1.7413e-09 ± 1.302e-09

0.08037839 ± 0.0154615

0.02280964 ± 0.0188935

0.00475016 ± 0.0028673

0.00034019 ± 0.0001791

0.00035483 ± 0.0001949

0.00093730 ± 0.0005838

0.00057121 ± 0.0006454

0 ± 0

F13

4.8004e-63 ± 2.968e-62

0.00166645 ± 0.0016165

7.6484e-09 ± 3.888e-09

0.01628576 ± 0.001229

0.01011512 ± 0.0110870

0.00235245 ± 0.000852

0.00022412 ± 9.119e-05

0.00036907 ± 0.0001605

6.8835e-05 ± 8.987e-05

0.00047189 ± 0.0004179

5.928e-12 ± 0

F14

4.6657e-36 ± 3.262e-35

147.8289 ± 92.29859

30.23713 ± 4.95025

4.773464 ± 0.6929691

508.2296 ± 54.1219

281.2291 ± 45.63714

52.49834 ± 14.60957

13.56846 ± 1.401647

101.3417 ± 17.26803

17.00028 ± 1.862734

76.718 ± 10.14181

F15

258.9922 ± 107.4624

852.0461 ± 41.73354

480.807 ± 19.48127

222.342933 ± 0.3350069

960.0506 ± 5.331034

984.5826 ± 3.527149

945.3247 ± 13.84791

47.6192 ± 2.178289

977.731 ± 2.914132

334.02932 ± 0.0848916

967.8714 ± 4.844288

F16

2.3816e-32 ± 1.426e-31

157.1937 ± 88.66653

30.07814 ± 5.658763

4.887573 ± 0.5766644

524.5626 ± 47.10672

278.6976 ± 36.47537

54.55871 ± 16.3804

13.60383 ± 1.502604

101.7394 ± 17.00099

17.07861 ± 1.607762

74.4641 ± 11.54133

F17

5.3552e-28 ± 3.786e-27

169.7363 ± 88.32107

30.85688 ± 5.256397

4.706465 ± 0.6551469

515.5718 ± 53.29598

278.9005 ± 35.72971

53.5587 ± 13.27707

13.91615 ± 1.720058

98.84173 ± 16.28048

17.30378 ± 1.511352

78.45175 ± 11.01959

F18

1.0635e-28 ± 7.520e-28

151.4619 ± 89.5036

29.90848 ± 5.2751

4.76432 ± 0.7214757

499.9788 ± 55.48298

282.8907 ± 42.3109

54.82297 ± 11.80817

13.47419 ± 1.497829

98.37421 ± 15.05355

17.385 ± 1.539785

0 ± 0

F19

4.6354e-35 ± 2.960e-34

156.6053 ± 61.30125

30.35593 ± 5.681104

4.930016 ± 0.9168929

516.1155 ± 47.98521

278.2041 ± 38.58286

52.01463 ± 10.74207

13.48662 ± 1.561745

99.91899 ± 16.78486

17.39819 ± 1.618368

73.81935 ± 10.6238

F20

1.4363e-33 ± 8.344e-33

161.686 ± 91.38573

30.15713 ± 5.526973

4.607396 ± 0.487521

511.36 ± 55.23571

285.4784 ± 40.22137

53.02054 ± 15.04198

13.6743 ± 1.550832

97.17674 ± 14.64385

17.10843 ± 1.49111

78.12226 ± 10.41774

  1. WCC: World Competitive Contests; PSO: Particles Swarm Optimization; TE: Thermal Exchange; VIR: Virulence; Dynamic Virtual Bat Algorithm; CEFOA: Co-Evolution Fruit fly Optimization; EPO: Emperor Penguin Optimizer; ION: Ion Motion; TGA: Tree Growth Algorithm; HTS: Heat Transfer Search.