Table 7 Comparison of the average F1-measure and training times (in seconds) for ELM and MLP

Breast Cancer (Ljubljana)

0.4722

0.4755

0.0010

0.1013

Breast Cancer (Wisconsin)

0.9729

0.9699

0.0015

0.4296

CNAE-9

0.9261

0.9306

0.1278

28.5683

Forest Cover Type

0.7140

0.6395

2.1873

292.6776

Glass

0.6418

0.5197

0.0004

0.2415

Landsat

0.8613

0.7762

0.0104

1.7258

Sonar

0.7767

0.7387

0.0009

0.1666

Urban Land Cover

0.7824

0.7559

0.0075

0.6181

Wine

0.9787

0.9820

0.0004

0.3228

Hypercube vertices (2 dim.)

1.0000

1.0000

0.0008

1.1139

Hypercube vertices (3 d.)

1.0000

1.0000

0.0004

1.9344

Hypercube vertices (5 d.)

0.9859

0.9545

0.0004

3.7209

Hypercube vertices (7 d.)

0.7575

0.7140

0.0006

1.9322

Hypercube vertices (10 d.)

0.5672

0.4536

0.0011

0.3202

Hyperspheres (2 d.)

0.7828

0.9154

0.0003

5.5755

Hyperspheres (3 d.)

0.9144

0.9142

0.0004

4.3765

Hyperspheres (10 d.)

0.9272

0.7180

0.0009

1.6621

Hyperspheres (30 d.)

0.9362

0.4153

0.0040

0.2685

Hyperspheres (100 d.)

0.8683

0.4789

0.0312

0.6166

Hyperspheres (300 d.)

0.6671

0.3035

0.1288

3.3525

Hyperspheres (1000 d.)

0.5480

0.4274

0.4061

46.9665

Spirals (2 d.)

0.6960

0.6655

0.0004

0.7449

Spirals (3 d.)

0.6195

0.5705

0.0004

0.5910

Number of outcomes with results significantly better than the competing model’s

8

0

23

0