Table 8 The reduct size and running time of the four algorithms(number/time).

From: A block matrix incremental feature selection method based on fuzzy rough minimum classification error

Data set

RAW

FRDM

AFFS

MPRB

MCEFS

MGT

10

6.5/2441.73

3.7/4148.52

5.6/2704.46

5.2/2862.28

ROE

18

4.8/1512.25

8.8/4545.23

4.1/1155.61

9.3/2408.32

SHB

9

3.4/94.45

5.3/275.62

4.0/188.60

1.0/48.92

WQ

11

5.1/271.88

5.8/938.26

4.7/312.07

5.6/357.77

IC

13

1.0/82.25

8.4/461.91

9.1/192.03

6.2/231.63

HCE

28

14.3/143.75

18.4/358.61

12.5/128.68

6.9/98.03

TME

50

34.2/136.51

29.5/70.67

29.5/70.6765

25.1/149.22

TR

241

10/13.08

124/2362.56

1.9/1.86

64.0/2072.05

SHD

256

6/14.96

28/386.49

7.2/55.85

8.5/21.46

GL

10

6.3/1.29

6.7/3.42

5.0/2.65

6.1/1.468

CB

60

26.5/21.21

37.4/29.58

24.5/18.78

26.1/32.41

IR

4

2.5/0.2329

2.7/0.36

3/2.88

2.3/0.26

Average

21.3

10.05/835.60

23.22/1934.44

9.26/858.51

13.86/1241.76