Table 5 Evaluation results of Diabetes dataset using different sampling strategies with three metrics across ten classification algorithms.

PSO

AUC

0.746

0.761

0.808

0.801

0.827

0.693

0.793

0.740

0.817

0.786

0.777

FMeasure

0.660

0.618

0.638

0.662

0.661

0.612

0.651

0.662

0.671

0.639

0.647

GMean

0.734

0.698

0.717

0.736

0.734

0.691

0.727

0.738

0.745

0.719

0.724

C. Avg.

0.713

0.692

0.721

0.733

0.741

0.665

0.724

0.713

0.744

0.715

0.716

RU

AUC

0.697

0.739

0.801

0.765

0.829

0.665

0.773

0.737

0.791

0.759

0.756

FMeasure

0.635

0.603

0.635

0.628

0.665

0.581

0.636

0.657

0.659

0.609

0.631

GMean

0.707

0.686

0.714

0.705

0.740

0.660

0.714

0.734

0.734

0.694

0.709

C. Avg.

0.680

0.676

0.717

0.699

0.745

0.635

0.708

0.709

0.728

0.687

0.699

RO

AUC

0.709

0.722

0.799

0.774

0.831

0.653

0.774

0.735

0.796

0.797

0.760

FMeasure

0.634

0.592

0.628

0.612

0.665

0.549

0.621

0.656

0.616

0.636

0.622

GMean

0.713

0.675

0.705

0.696

0.739

0.643

0.699

0.733

0.696

0.716

0.702

C. Avg.

0.685

0.663

0.711

0.694

0.745

0.615

0.698

0.708

0.703

0.716

0.695

Cluster

AUC

0.701

0.729

0.801

0.759

0.813

0.608

0.769

0.753

0.788

0.784

0.751

FMeasure

0.624

0.603

0.635

0.598

0.684

0.513

0.626

0.680

0.643

0.629

0.624

GMean

0.702

0.678

0.711

0.686

0.723

0.615

0.698

0.752

0.721

0.711

0.700

C. Avg.

0.676

0.670

0.716

0.681

0.740

0.579

0.698

0.728

0.717

0.708

0.692