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Table 3 Summary the speed of three embedded methods

From: Optimal combination of feature selection and classification via local hyperplane based learning strategy

Irrelevant feature NO.

Cost time(s)

 

LHDA

SVM-RFE

RF

100

18.82

26.71

1.44

200

40.24

86.21

2.91

300

87.96

165.85

3.46

400

139.13

278.81

4.49

500

203.28

468.72

5.76

600

285.81

705.27

6.91

700

366.59

1010.30

8.69

800

505.73

1365.20

9.73

900

655.34

1833.64

11.90

1000

699.42

2029.50

11.41