Table 6 Evaluation results of Breast dataset using different sampling strategies with three metrics across ten classification algorithms.

PSO

AUC

0.580

0.610

0.602

0.603

0.736

0.570

0.625

0.670

0.637

0.549

0.618

FMeasure

0.418

0.423

0.393

0.369

0.489

0.394

0.425

0.487

0.392

0.359

0.415

GMean

0.593

0.599

0.577

0.550

0.661

0.553

0.595

0.660

0.577

0.544

0.591

C. Avg.

0.530

0.544

0.524

0.507

0.629

0.506

0.548

0.606

0.535

0.484

0.541

RU

AUC

0.562

0.597

0.587

0.604

0.722

0.515

0.612

0.650

0.639

0.568

0.606

FMeasure

0.393

0.407

0.378

0.403

0.479

0.345

0.422

0.466

0.399

0.388

0.408

GMean

0.552

0.583

0.558

0.571

0.656

0.502

0.597

0.637

0.581

0.568

0.581

C. Avg.

0.502

0.529

0.508

0.526

0.619

0.454

0.544

0.584

0.540

0.508

0.532

RO

AUC

0.569

0.564

0.596

0.593

0.789

0.544

0.582

0.688

0.639

0.480

0.604

FMeasure

0.327

0.391

0.384

0.354

0.560

0.325

0.382

0.509

0.297

0.286

0.382

GMean

0.508

0.565

0.569

0.522

0.701

0.512

0.560

0.683

0.452

0.475

0.555

C. Avg.

0.468

0.507

0.516

0.490

0.683

0.460

0.508

0.627

0.463

0.414

0.514

Cluster

AUC

0.543

0.616

0.538

0.554

0.711

0.547

0.603

0.641

0.586

0.528

0.587

FMeasure

0.384

0.402

0.356

0.325

0.466

0.371

0.417

0.450

0.342

0.332

0.385

GMean

0.579

0.585

0.550

0.508

0.648

0.527

0.583

0.638

0.540

0.529

0.569

C. Avg.

0.502

0.534

0.481

0.462

0.608

0.482

0.534

0.576

0.489

0.463

0.514