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Table 7 The comparison between results before and after PFBS-RFS-RFE

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

Datasets

Before PFBS-RFS-RFE

After PFBS-RFS-RFE

ACC

%

Overfitting

Diff%

No.F

C-time

Var.

ACC

%

Overfitting

Diff%

NO. F

C-time

Var.

RNA gene

99.800

0.200

20,531

16.547

0.000015

99.994

0.006

119.200

0.307 s

0.0000004

DNA CNV

85.000

12.600

16,381

170 s

0.000580

92.762

2.763

675.000

0.981 s

0.000230

Parkinson’s

disease

93.677

0.800

753

2.000 s

0.000634

95.000

5.000

113.850

1.134 s

0.000620

Dermatology diseases

97.807

0.493

34

0.003 s

0.000810

100.000

0.0

10.000

0.500 s

0.0

BreastEW

75.928

2.072

30

0.500 s

0.002092

98.000

2.000

13.300

0.428 s

0.000300