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Table 7 The obtained results for MMCC from boosting algorithms using decision tree as a base learner

From: Boosting methods for multi-class imbalanced data classification: an experimental review

Dataset

Algorithm

AdaBoost.MH

SAMME

CatBoost

LogitBoost

GradientBoost

XGBoost

MEBoost

SMOTEBoost

RUSBoost

LightGBM

AdaC1

AdaC2

AdaC3

AdaCost

Wine

0.8134

0.8318

0.9546

0.9155

0.9823

0.9343

0.9664

0.9013

0.923

0.9382

0.865

0.8388

0.9176

0.8696

± 0.0254

± 0.0236

± 0.0086

± 0.0188

± 0.0050

± 0.0237

± 0.0155

± 0.0325

± 0.0178

± 0.0280

± 0.0320

± 0.0327

± 0.0254

± 0.0262

Hayes-Roth

0.6109

0.5911

0.5229

0.6026

0.611

0.5967

0.5916

0.5876

0.5401

0.0649

0.6027

0.622

0.6325

0.6157

± 0.0274

± 0.0212

± 0.0267

± 0.0228

± 0.0222

± 0.0302

± 0.0374

± 0.0300

± 0.0554

± 0.0682

± 0.0255

± 0.0199

± 0.0288

± 0.0325

Contraceptive

0.0562

− 0.0104

0.0615

− 0.0181

− 0.0111

0.073

0.0078

− 0.0395

− 0.1068

0.0018

0.0894

− 0.3029

− 0.1027

0.1025

± 0.0098

± 0.0142

± 0.0089

± 0.0119

± 0.0199

± 0.0143

± 0.0099

± 0.0239

± 0.0074

± 0.0086

± 0.0111

± 0.0044

± 0.0237

± 0.0185

Pen-based

0.8073

0.918

0.9252

0.9125

0.9049

0.8684

0.946

0.9026

0.92

0.9076

0.8119

0.8121

0.8105

0.8111

± 0.0106

± 0.0108

± 0.0087

± 0.0105

± 0.0056

± 0.0116

± 0.0073

± 0.0053

± 0.0091

± 0.0035

± 0.0183

± 0.0109

± 0.0113

± 0.0151

Vertebral column

0.5894

0.5914

0.6373

0.6061

0.6072

0.604

0.604

0.6468

0.6148

0.6348

0.6167

0.6249

0.6048

0.6095

± 0.0386

± 0.0412

± 0.0449

± 0.0292

± 0.0251

± 0.0282

± 0.0385

± 0.0412

± 0.0361

± 0.0464

± 0.0156

± 0.0251

± 0.0194

± 0.0204

New thyroid

0.7741

0.7586

0.8003

0.8215

0.8317

0.792

0.2416

0.8057

0.7983

0.823

0.7842

0.7431

0.7684

0.7587

± 0.0335

± 0.04565

± 0.0190

± 0.0339

± 0.0222

± 0.0421

± 0.0385

± 0.0499

± 0.0311

± 0.0205

± 0.0521

± 0.0690

± 0.0707

± 0.580

Dermatology

0.9089

0.9301

0.9559

0.9344

0.9434

0.9386

0.8412

0.9317

0.8889

0.8172

0.9115

0.9171

0.9024

0.9063

± 0.0150

± 0.0091

± 0.0068

± 0.0170

± 0.0100

± 0.0233

± 0.0321

± 0.0119

± 0.0204

± 0.0176

± 0.0141

± 0.0135

± 0.0206

± 0.0173

Balance scale

0.2229

0.256

0.3643

0.2154

0.2083

0.2247

0.2516

0.2116

0.3379

0.429

− 0.2735

0.1405

0.1339

0.3307

± 0.0239

± 0.0352

± 0.0706

± 0.0217

± 0.0293

± 0.0178

± 0.0180

± 0.0189

± 0.0492

± 0.0364

± 0.0178

± 0.0110

± 0.0320

± 0.0214

Glass

0.2494

0.301

0.3623

0.4125

0.2796

0.3909

0.2321

0.3011

0.0595

− 0.1694

0.2539

0.2713

0.1628

0.2529

± 0.0496

± 0.0596

± 0.0439

± 0.0512

± 0.0915

± 0.0489

± 0.0805

± 0.0389

± 0.0894

± 0.0081

± 0.0624

± 0.0398

± 0.0666

± 0.0314

Heart

− 0.4132

− 0.3978

− 0.3753

− 0.444

− 0.4106

− 0.4353

− 0.4389

− 0.3518

− 0.3794

− 0.3506

− 0.4077

− 0.3952

− 0.3878

− 0.3841

± 0.0261

± 0.0269

± 0.0278

± 0.0327

± 0.0376

± 0.0393

± 0.02901

± 0.0429

± 0.0357

± 0.08237

± 0.0301

± 0.0476

± 0.0302

± 0.0324

Car evaluation

0.9731

0.8248

0.9697

0.9921

0.9701

0.6457

0.9843

0.8061

0.5592

0.9767

0.3903

0.6436

0.7439

0.8122

± 0.0166

± 0.0172

± 0.0085

± 0.0070

± 0.0139

± 0.0230

± 0.0072

± 0.0208

± 0.0273

± 0.0057

± 0.0382

± 0.0084

± 0.0122

± 0.0160

Thyroid

0.9494

0.943

0.9569

0.9471

0.9431

0.9537

0.9358

0.9603

0.8774

0.7566

0.3333

0.9604

0.9561

0.3335

± 0.0044

± 0.0049

± 0.0065

± 0.0062

± 0.0065

± 0.0023

± 0.01143

± 0.0038

± 0.0306

± 0.0351

± 0.0000

± 0.0049

± 0.0029

± 0.0004

Yeast

− 0.0095

− 0.1297

− 0.0283

− 0.0228

− 0.0796

0.0415

− 0.0822

− 0.0437

− 0.2991

− 0.1124

− 0.2593

− 0.0542

− 0.0061

− 0.0483

± 0.0361

± 0.0132

± 0.0192

± 0.0244

± 0.0266

± 0.0195

± 0.0148

± 0.0194

± 0.0269

± 0.0098

± 0.0293

± 0.0224

± 0.0333

± 0.0361

Page blocks

0.5489

0.4927

0.6272

0.5448

− 0.3273

0.572

0.5375

0.5423

0.4592

0.1063

0.4042

0.4137

0.5912

0.3993

± 0.0244

± 0.0325

± 0.0170

± 0.0239

± 0.0693

± 0.0341

± 0.0273

± 0.0325

± 0.0337

± 0.0125

± 0.0112

± 0.0192

± 0.0129

± 0.0235

Shuttle

0.8751

0.9385

0.9176

0.9266

− 0.2663

0.9156

0.6635

0.9682

0.7336

− 0.1741

0.8661

0.873

0.8784

0.8767

± 0.0302

± 0.0190

± 0.0170

± 0.0244

± 0.0498

± 0.0262

± 0.0248

± 0.0139

± 0.0256

± 0.0282

± 0.0226

± 0.0250

± 0.0154

± 0.0283

Average

0.5304

0.5226

0.5768

0.5564

0.4124

0.5411

0.4855

0.5420

0.4618

0.3766

0.3992

0.4739

0.5071

0.4831

  1. The best performance is shown in italic for each dataset