Table 4 Evaluation results of Survival dataset using different sampling strategies with three metrics across ten classification algorithms.

PSO

AUC

0.660

0.626

0.660

0.668

0.698

0.614

0.618

0.617

0.680

0.700

0.654

FMeasure

0.495

0.422

0.495

0.469

0.542

0.459

0.421

0.447

0.464

0.492

0.471

GMean

0.641

0.580

0.635

0.618

0.687

0.612

0.581

0.587

0.614

0.643

0.620

C. Avg.

0.599

0.543

0.597

0.585

0.642

0.562

0.540

0.550

0.586

0.612

0.582

RU

AUC

0.636

0.565

0.633

0.628

0.668

0.589

0.619

0.586

0.659

0.651

0.623

FMeasure

0.482

0.406

0.459

0.455

0.486

0.436

0.429

0.399

0.460

0.477

0.449

GMean

0.626

0.562

0.598

0.599

0.637

0.589

0.587

0.554

0.608

0.619

0.598

C. Avg.

0.581

0.511

0.563

0.561

0.597

0.538

0.545

0.513

0.576

0.582

0.557

RO

AUC

0.619

0.617

0.641

0.631

0.684

0.588

0.602

0.615

0.639

0.663

0.631

FMeasure

0.465

0.433

0.427

0.389

0.487

0.354

0.413

0.411

0.368

0.459

0.422

GMean

0.617

0.579

0.561

0.553

0.632

0.514

0.573

0.547

0.534

0.608

0.574

C. Avg.

0.567

0.543

0.543

0.524

0.601

0.485

0.529

0.524

0.514

0.577

0.542

Cluster

AUC

0.623

0.564

0.642

0.601

0.664

0.546

0.570

0.595

0.616

0.634

0.606

FMeasure

0.451

0.376

0.443

0.366

0.460

0.325

0.397

0.380

0.389

0.436

0.402

GMean

0.602

0.538

0.559

0.539

0.636

0.497

0.546

0.512

0.570

0.601

0.560

C. Avg.

0.559

0.493

0.548

0.502

0.587

0.456

0.504

0.496

0.525

0.557

0.523