Recursive Feature Selection with Significant Variables of Support Vectors
Table 7
The CV results on the breast cancer dataset.
Num. of genes
RSVM
SVM-RFE
SVM-
CV2
Mean SV
CV2
Mean SV
CV2
Mean SV
47.02
47.02
47.02
6060
45.94
47.02
46.88
5151
45.31
47.02
44.88
4378
44.55
47.02
42.84
3721
43.20
47.00
39.55
3163
41.98
47.00
37.41
2689
40.92
46.84
35.67
2286
39.63
46.78
35.18
1943
38.41
46.61
34.31
1652
37.47
46.06
32.43
1404
36.41
45.39
32.31
1193
35.31
44.80
30.90
1014
34.12
44.39
30.24
862
33.04
43.14
29.76
733
32.10
42.27
29.02
623
30.84
41.31
27.10
530
30.10
40.96
26.16
450
29.29
39.49
24.35
382
29.00
38.04
23.37
325
28.78
37.49
22.33
276
28.14
36.59
20.78
235
27.55
35.27
19.94
200
26.67
34.14
19.24
170
25.98
33.53
18.14
144
25.12
31.67
17.94
122
23.84
30.67
17.63
104
22.12
29.65
17.53
88
21.02
27.67
16.76
75
20.39
25.92
16.78
64
19.39
24.61
16.43
54
18.37
22.14
16.33
46
18.10
21.57
15.57
39
16.61
19.24
15.57
33
15.55
16.86
15.04
28
13.98
15.96
14.31
24
13.04
15.02
13.69
20
12.02
12.78
13.39
17
11.20
11.65
12.76
14
10.29
10.59
12.43
12
9.16
9.73
12.04
10
8.35
8.69
12.16
8
7.29
7.51
12.22
7
7.22
6.86
12.86
6
6.29
6.20
13.43
5
5.98
6.20
13.63
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.