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Table 24 The comparison between the PFBS-RFS-RFE and other RFE hybrid methods

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

Algorithm

ACC%

NO.F

Pre

Rec

F1-score

AUC

Var.

MIFS and RFE

99.501

4500

0.794

0.715

0.723

1.000

0.000041

GA and RFE

99.750

3123

0.999

0.997

0.998

1.000

0.000028

Ridge regression and RFE

99.627

10,265

0.998

0.830

0.831

1.000

0.000036

Proposed method (PFBS-RFS-RFE)

100.000

10.000

1.000

1.000

1.000

1.000

0.0