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Table 9 The proposed methods compared with the MIFS method

From: Effective hybrid feature selection using different bootstrap enhances cancers classification performance

Datasets

Train

Data %

Test

Data %

Over-fitting

Diff. %

Pre

Rec

F1-score

NO.F

F-Time

(sec)

C-Time

(sec)

AUC

Var.

ACC

%

LR classifier

 RNA gene

100.000

99.875

0.125

0.999

0.998

0.988

10,000

192.552

2.896

1.000

0.000016

99.875

 DNA CNV

96.597

84.978

11.619

0.817

0.782

0.788

9000

173.955

25.195

0.954

0.000416

84.978

 Parkinson’s

disease

77.058

75.525

1.533

0.620

0.556

0.538

300

0.377

0.037

0.682

0.001001

75.525

 Dermatology

diseases

97.845

96.989

0.856

0.971

0.965

0.966

25

0.203

0.003

0.997

0.000585

96.989

 BreastEW

94.396

93.678

0.718

0.938

0.928

0.932

20

0.067

0.002

0.988

0.000694

93.678

SVM classifier

 RNA gene

100.000

99.750

0.250

0.998

0.997

0.997

10,000

192.552

2.534

1.000

0.000028

99.750

 DNA CNV

91.606

84.122

7.484

0.860

0.756

0.775

9000

173.955

75.394

0.949

0.000668

84.122

 Parkinson’s

disease

75.676

72.228

3.448

0.472

0.498

0.448

300

0.203

0.138

0.627

0.000814

72.228

 Dermatology

diseases

98.421

97.523

0.898

0.976

0.967

0.969

25

0.203

0.028

0.998

0.000924

97.523

 BreastEW

92.013

91.563

0.450

0.929

0.895

0.906

20

0.067

0.017

0.976

0.001014

91.563

RF classifier

 RNA gene

100.000

99.627

0.373

0.998

0.996

0.997

10,000

192.552

1.252

1.000

0.000036

99.627

 DNA CNV

92.962

80.623

12.339

0.771

0.719

0.718

9000

173.955

3.528

0.942

0.000614

80.623

 Parkinson’s

disease

100.000

84.782

15.218

0.827

0.748

0.773

300

0.377

0.376

0.876

0.002303

84.782

 Dermatology

diseases

100.000

96.456

3.544

0.972

0.950

0.955

25

0.203

0.148

0.999

0.001473

96.456

 BreastEW

100.000

96.140

3.860

0.963

0.956

0.958

20

0.067

0.110

0.990

0.000944

96.140

Bagg classifier

 RNA gene

99.847

98.628

1.219

0.989

0.985

0.987

10,000

192.552

7.322

0.999

0.000036

98.628

 DNA CNV

98.960

78.806

20.154

0.733

0.699

0.707

9000

173.955

25.309

0.912

0.000613

78.806

 Parkinson’s

disease

99.574

79.239

20.335

0.729

0.729

0.727

300

0.377

0.673

0.794

0.002002

79.239

 Dermatology

diseases

99.696

95.105

4.591

0.955

0.940

0.939

25

0.203

0.021

0.995

0.001473

95.105

 BreastEW

99.492

95.435

4.057

0.957

0.947

0.950

20

0.067

0.022

0.986

.000901

95.435