Research Article

Recursive Feature Selection with Significant Variables of Support Vectors

Table 9

The CV results on the lung cancer dataset.


Num. of genes
RSVMSVM-RFESVM-
CV2Mean SVCV2Mean SVCV2Mean SV

51.34 51.34 51.34
6060 46.78 51.35 50.85
5151 45.07 51.40 50.20
4378 44.24 51.42 49.24
3721 43.99 51.35 48.22
3163 43.53 51.34 47.60
2689 43.38 51.36 47.38
2286 43.12 51.86 46.71
1943 43.17 52.79 46.05
1652 43.26 52.51 45.10
1404 43.12 51.84 43.78
1193 42.87 52.33 42.60
1014 42.86 51.15 41.84
862 42.24 51.64 41.50
733 41.47 52.21 41.03
623 41.55 51.72 40.07
530 40.85 51.28 39.71
450 40.40 50.59 39.20
382 39.08 50.70 38.34
325 38.62 50.77 37.43
276 38.52 49.21 36.62
235 38.71 48.27 36.06
200 37.28 47.67 35.59
170 36.33 45.84 35.13
144 36.19 44.64 33.88
122 35.43 42.81 33.48
104 34.30 40.87 32.59
88 32.87 39.02 31.99
75 31.28 36.56 31.92
64 29.84 34.08 31.80
54 27.41 30.07 31.97
46 25.94 27.50 31.90
39 24.42 25.10 32.30
33 22.53 23.09 32.66
28 20.42 19.87 32.97
24 18.86 19.31 33.16
20 16.94 16.59 33.51
17 15.83 15.71 33.58
14 16.42 16.15 34.08
12 17.72 17.03 34.55
10 19.76 19.95 35.15
8 22.45 22.60 36.01
7 23.64 24.16 36.44
6 25.35 25.97 36.87
5 27.86 28.73 37.50

Num. of genes: the number of selected genes in the recursive steps. CV2: total cross-validation error rate (CV2 error rate). Mean SV: mean number of support vectors used in the cross-validation at each level.