Skip to main content

Table 2 Classification error rates of difference methods

From: Random bits regression: a strong general predictor for big data

Error%

Sample

Feature

LR

KNN

NN

SVM

ELM

GBM

RF

RBR

banknote_authentication

1372

4

1.018

0.146

0.000

0.000

0.000

0.801

0.656

0.000

Blood_Transfusion_Service_Center

748

4

22.863

19.649

24.458

20.186

23.802

23.667

24.596

19.521

Breast_Cancer_Wisconsin_Diagnostic

569

30

5.091

2.810

8.446

2.456

8.800

3.863

4.211

2.281

Climate_Model_Simulation_Crashes

540

18

4.259

7.037

5.556

7.778

5.926

6.296

7.593

3.888

Connectionist_Bench

208

60

26.000

13.023

21.667

13.476

14.429

16.833

13.452

11.571

EEG_Eye_State

14980

14

35.748

15.374

31.569

19.519

42.336

24.172

6.001

6.612

Fertility

100

9

15.000

12.000

15.000

12.000

24.000

12.000

14.000

12.000

habermans_survival

306

3

25.849

25.160

30.710

26.742

27.400

27.774

27.409

25.118

Hill_Valley_with_noise

1212

100

42.001

45.707

5.280

46.283

23.422

50.906

43.065

4.041

Hill_Valley_without_noise

1212

100

41.340

41.668

0.000

46.618

15.596

51.734

39.602

0.744

Indian_Liver_Patient

579

10

27.828

27.822

30.206

28.684

28.336

28.336

29.189

27.644

Ionosphere

351

34

10.262

10.246

11.984

5.405

10.278

6.825

7.405

5.413

MAGIC_Gamma_Telescope

19020

10

20.878

15.857

13.170

12.976

22.639

13.991

11.725

11.435

QSAR_biodegradation

1055

41

13.366

13.754

14.978

12.144

22.381

14.884

13.180

12.043

Skin_Segmentation

245057

3

8.121

0.040

0.056

0.081

0.263

1.550

0.043

0.039

Psoriasis

1590

68–88

40.566

37.044

42.327

38.176

38.616

40.818

40.440

37.170

  1. The bold means the first place result of all methods compared