Table 3 Errors of prediction models

Decision tree

cent

0.775

35.091

0.717

3.375

0.687

3.267

clst

0.768

35.076

0.717

3.375

0.719

3.322

cos

0.809

35.187

0.717

3.375

0.666

3.280

count

0.710

34.853

0.717

3.375

0.727

3.402

Gaussian process

cent

0.587

34.314

0.570

2.699

0.566

2.689

clst

0.587

34.311

0.570

2.699

0.571

2.703

cos

0.586

34.309

0.570

2.699

0.567

2.706

count

0.589

34.312

0.570

2.699

0.565

2.730

KernelRidge

cent

2.347

50.602

0.611

3.084

1.243

7.191

clst

1.981

42.257

0.611

3.084

2.478

18.887

cos

2.743

57.785

0.611

3.084

1.242

11.319

count

1.227

35.929

0.611

3.084

2.709

32.986

Linear regression

cent

2.644

55.001

0.612

3.096

3.244

40.500

clst

2.932

62.219

0.612

3.096

4.134

57.534

cos

2.969

62.224

0.612

3.096

3.391

62.338

count

2.967

65.251

0.612

3.096

3.291

73.918

Nearest neighbors

cent

0.559

34.293

0.661

2.844

0.618

2.694

clst

0.579

34.403

0.661

2.844

0.642

2.796

cos

0.542

34.375

0.661

2.844

0.617

2.779

count

0.562

34.379

0.661

2.844

0.667

2.797

Neural net

cent

0.801

35.289

1.513

21.822

0.700

3.587

clst

0.922

36.004

1.491

20.703

0.743

3.726

cos

0.730

34.990

1.493

20.175

0.755

4.007

count

1.150

36.867

1.482

20.203

0.943

5.766

Random forest

cent

0.699

34.401

0.660

2.880

0.627

2.804

clst

0.697

34.397

0.660

2.880

0.638

2.695

cos

0.697

34.416

0.660

2.880

0.635

2.904

count

0.662

34.325

0.660

2.880

0.662

2.861