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Table 3 Comparison of R-SVM and SVM-RFE on Data-R

From: Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data

Levela

ReduceSVb

P(sv-diff)c

ReduceTestd

P(test-diff)e

ImproveRecf

P(rec-diff)g

800

15.35%

1.24E-53

-3.59%

1.26E-05

-3.60%

1.50E-23

600

18.65%

3.14E-56

-7.06%

4.09E-04

2.69%

2.20E-09

500

19.58%

7.71E-58

-6.46%

1.79E-03

9.18%

1.24E-37

400

21.07%

1.80E-63

-2.74%

3.22E-05

17.32%

4.25E-59

300

22.51%

5.12E-67

-4.64%

1.26E-05

24.14%

5.43E-65

200

22.16%

9.38E-68

-0.93%

1.83E-04

30.64%

2.25E-71

150

21.78%

4.57E-64

-3.44%

8.74E-04

29.14%

5.86E-71

100

21.01%

3.21E-57

0.31%

3.22E-05

29.95%

7.74E-69

90

22.57%

1.88E-60

-2.52%

3.52E-03

27.51%

9.74E-66

80

22.88%

1.67E-65

1.84%

7.85E-05

27.92%

4.03E-62

70

21.42%

2.96E-59

0.59%

4.09E-04

27.16%

1.15E-58

60

20.20%

1.64E-55

6.16%

1.83E-04

26.83%

2.55E-60

50

18.67%

4.40E-52

4.23%

8.74E-04

25.89%

9.63E-53

40

15.37%

5.66E-46

8.99%

4.69E-06

25.39%

1.09E-55

30

11.85%

6.90E-33

9.61%

1.67E-06

24.19%

2.07E-45

20

7.87%

2.19E-18

11.43%

3.22E-05

20.86%

1.09E-34

  1. a,b,c,d,e,f,g same as in Table 1.