Table 2 Performance of gene feature selection methods with KNN classifier (high) and SVM classifier (low) in two-class datasets

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

0.9821

0.9664

0.9875

0.9779

0.9038

0.9548

0.9986

0.9716

TNR

1.0000

0.9500

0.9367

1.0000

0.9500

0.9800

1.0000

0.9755

TPR

0.9818

0.9677

0.9969

0.9759

0.8771

0.9498

1.0000

0.9826

TIME(s)

0.0846

0.7349

1.4736

0.7542

9.7452

4.2604

0.9007

0.6518

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

0.9833

0.9615

0.9865

0.9712

0.9123

0.9245

0.9341

0.9795

TNR

0.9943

0.9456

0.9422

0.9854

0.9457

0.9456

0.9654

1.0000

TPR

0.9863

0.9513

0.9645

0.9541

0.9024

0.9234

0.9432

0.9712

TIME(s)

0.1215

0.2257

0.1954

0.1857

0.1678

0.5111

0.0931

0.2148

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

1.0000

0.9768

0.9855

0.9623

0.9168

0.973

0.9988

0.9822

TNR

1.0000

0.9611

0.95

0.9158

0.9316

0.9433

1.0000

1.0000

TPR

1.0000

0.9929

0.9971

0.9776

0.9121

0.9827

1.0000

0.9755

TIME(s)

0.0846

0.7349

1.4736

0.7542

9.7452

4.2604

0.9007

0.7418

DKBCGS

GINI

Χ²-Statistic

Info.Gain

KW

RF

MRMR

KBCGS

ACC

1.0000

1

0.9975

1.0000

0.9975

0.9750

0.9975

0.9845

TNR

1.0000

1.0000

1.0000

1.0000

0.9683

0.9733

0.9571

0.9579

TPR

1.0000

1.0000

1.0000

1.0000

0.8383

0.9437

0.9917

0.9931

TIME(s)

0.1215

0.2257

0.1954

0.1857

1.6478

0.5111

0.0931

0.2148