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Table 7 Evaluation results of AMD-CGA dataset using different sampling strategies with three metrics across ten classification algorithms.

From: A particle swarm based hybrid system for imbalanced medical data sampling

Method

Metric

Classifier

  

J48

3NN

NB

RF5

LOG

1NN

7NN

SMO

RF10

RBFNet

R. Avg.

PSO

AUC

0.609

0.559

0.606

0.591

0.566

0.599

0.590

0.572

0.573

0.540

0.581

 

FMeasure

0.481

0.462

0.489

0.464

0.448

0.485

0.468

0.460

0.465

0.455

0.468

 

GMean

0.580

0.557

0.572

0.551

0.538

0.576

0.573

0.550

0.545

0.539

0.558

 

C. Avg.

0.557

0.526

0.556

0.535

0.517

0.553

0.544

0.527

0.528

0.511

0.536

RU

AUC

0.569

0.547

0.549

0.594

0.567

0.569

0.579

0.556

0.604

0.570

0.570

 

FMeasure

0.434

0.457

0.439

0.476

0.453

0.439

0.446

0.417

0.456

0.446

0.446

 

GMean

0.538

0.556

0.538

0.580

0.551

0.547

0.553

0.523

0.550

0.549

0.549

 

C. Avg.

0.514

0.520

0.509

0.550

0.524

0.518

0.526

0.499

0.537

0.522

0.522

RO

AUC

0.566

0.568

0.565

0.597

0.581

0.569

0.586

0.558

0.576

0.586

0.575

 

FMeasure

0.394

0.405

0.375

0.442

0.420

0.415

0.407

0.358

0.421

0.428

0.407

 

GMean

0.523

0.530

0.505

0.564

0.544

0.539

0.537

0.490

0.547

0.555

0.533

 

C. Avg.

0.494

0.501

0.482

0.534

0.515

0.508

0.510

0.469

0.515

0.523

0.505

Cluster

AUC

0.519

0.595

0.560

0.601

0.580

0.580

0.566

0.545

0.581

0.576

0.570

 

FMeasure

0.306

0.343

0.358

0.357

0.332

0.270

0.301

0.368

0.387

0.339

0.445

 

GMean

0.499

0.558

0.532

0.566

0.548

0.569

0.546

0.511

0.554

0.548

0.543

 

C. Avg.

0.441

0.499

0.483

0.508

0.487

0.473

0.471

0.475

0.507

0.488

0.519