Table 7 The binary classification results

Connectionist Bench

Accuracy

0.6442

0.6442

0.6058

0.6635

0.6538

0.7308

0.6827

Sensitive

0.5882

0.6122

0.6500

0.7556

0.5741

0.6744

0.5870

Precision

0.6522

0.6250

0.4906

0.5862

0.7045

0.6744

0.6585

Specificity

0.6981

0.6727

0.5781

0.5932

0.7400

0.7705

0.7586

F

0.6186

0.6186

0.5591

0.6602

0.6327

0.6744

0.6207

G-mean

0.6408

0.6418

0.6130

0.6695

0.6518

0.7209

0.6673

AUC

0.4107

0.4119

0.3758

0.4482

0.4248

0.5196

0.4453

OOB

0.3808

0.3889

0.3344

0.3391

0.3314

0.3085

0.2932

margin

0.1078

0.1632

0.1991

0.2084

0.2056

0.1468

0.2418

nTree

100

100

100

100

315

193

151

κ

1

4

5

17

6

8

4

num (Attribute)

17

17

17

17

13

16

15

Wine

Accuracy

0.9846

0.9692

0.9846

0.9692

0.9846

0.9846

0.9692

Sensitive

1.0000

0.9286

1.0000

1.0000

1.0000

1.0000

1.0000

Precision

0.9655

1.0000

0.9677

0.9333

0.9706

0.9643

0.9355

Specificity

0.9730

1.0000

0.9714

0.9459

0.9688

0.9737

0.9444

F

0.9825

0.9630

0.9836

0.9655

0.9851

0.9818

0.9667

G-mean

0.9864

0.9636

0.9856

0.9726

0.9843

0.9868

0.9718

AUC

0.9730

0.9286

0.9714

0.9459

0.9688

0.9737

0.9444

OOB

0.0442

0.0502

0.0288

0.0748

0.0246

0.0156

0.0238

margin

0.6951

0.7553

0.8149

0.7995

0.7863

0.7890

0.8345

nTree

100

100

100

100

349

354

90

κ

1

3

4

13

5

1

5

num (Attribute)

13

13

13

13

12

11

12

Ionosphere

Accuracy

0.9200

0.9314

0.9371

0.9257

0.9371

0.9257

0.9314

Sensitive

0.9107

0.8475

0.8889

0.8824

0.8333

0.9032

0.9107

Precision

0.8500

0.9434

0.9057

0.9231

0.9804

0.8889

0.8793

Specificity

0.9244

0.9741

0.9587

0.9533

0.9913

0.9381

0.9412

F

0.8793

0.8929

0.8972

0.9003

0.9009

0.8960

0.8947

G-mean

0.9175

0.9086

0.9231

0.9171

0.9089

0.9205

0.9258

AUC

0.8956

0.8651

0.9002

0.8975

0.8548

0.8835

0.9029

OOB

0.1096

0.0860

0.1132

0.0884

0.0668

0.0831

0.0825

margin

0.5696

0.6918

0.6511

0.7041

0.7349

0.6934

0.6351

nTree

100

100

100

100

339

321

350

κ

1

5

6

34

9

15

2

num (Attribute)

34

34

34

34

29

30

28

Breast -cancer -wisconsin

Accuracy

0.9801

0.9658

0.9715

0.9573

0.9544

0.9801

0.9658

Sensitive

0.9914

0.9474

0.9583

0.9748

0.9919

1.0000

0.9474

Precision

0.9504

0.9474

0.9583

0.9063

0.8905

0.9421

0.9474

Specificity

0.9745

0.9747

0.9784

0.9483

0.9342

0.9705

0.9747

F

0.9701

0.9474

0.9583

0.9393

0.9385

0.9702

0.9474

G-mean

0.9829

0.9609

0.9683

0.9614

0.9626

0.9851

0.9609

AUC

0.9844

0.9555

0.9595

0.9547

0.9601

0.9850

0.9474

OOB

0.0422

0.0399

0.0433

0.0467

0.0304

0.0411

0.0372

margin

0.8247

0.8569

0.8509

0.8652

0.8842

0.8179

0.8616

nTree

100

100

100

100

319

420

351

κ

1

3

4

10

3

1

3

num (Attribute)

10

10

10

10

9

9

7