Table 1 |
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|
Comparison of R-SVM and SVM-RFE on Data-G (with gene outliers) |
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|
Levela |
ReduceSVb |
P(sv-diff)c |
ReduceTestd |
P(test-diff)e |
ImproveRecf |
P(rec-diff)g |
|
|
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|
800 |
4.01% |
1.81E-42 |
-7.70% |
4.72E-03 |
-3.90% |
1.71E-39 |
|
600 |
5.77% |
1.74E-49 |
-2.50% |
4.64E-01 |
-1.70% |
5.21E-15 |
|
500 |
6.83% |
2.75E-51 |
-4.00% |
1.62E-01 |
-0.30% |
0.079189 |
|
400 |
8.35% |
3. 26E-60 |
2.80% |
3.48E-01 |
1.10% |
4.48E-06 |
|
300 |
9.33% |
3.83E-58 |
7.40% |
3.65E-02 |
3.70% |
1.77E-31 |
|
200 |
8.22% |
1.28E-48 |
19.20% |
6.36E-09 |
6.30% |
5.79E-44 |
|
150 |
8.55% |
1.51E-53 |
19.50% |
1.16E-08 |
7.10% |
9.76E-46 |
|
100 |
4.97% |
6.20E-22 |
11.90% |
1.83E-04 |
6.00% |
6.43E-40 |
|
90 |
5.84% |
1.66E-27 |
13.70% |
4.20E-06 |
4.60% |
1.07E-30 |
|
80 |
5.17% |
8.20E-29 |
12.40% |
4.14E-06 |
4.50% |
7.12E-29 |
|
70 |
4.14% |
1.46E-27 |
8.50% |
4.77E-04 |
3.80% |
1.05E-24 |
|
60 |
3.10% |
1.23E-20 |
10.20% |
3.14E-05 |
3.40% |
4.99E-24 |
|
50 |
2.27% |
2.01E-15 |
10.20% |
4.11E-06 |
2.90% |
2.37E-21 |
|
|
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|
a Level: The number of features selected in each recursive step. With all of the 1000 features, there is no difference between R-SVM and SVM-RFE because no feature selection happened. b ReduceSV: Relative reduction in the mean number of support vectors used by R-SVM comparing to that by SVM-RFE, calculated as: (average #SVSVM-RFE - average #SVR-SVM)/(average #svSVM-RFE). c P(sv-diff): The p-value of the observed difference in numbers of SVs, by paired t-test. d ReduceTest: Relative reduction in the mean test error rates of SVM models with R-SVM-selected features comparing to that with SVM-RFE selected features, calculated as: (average TestErrorSVM-RFE - average TestErrorR-SVM)/(average TestErrorSVM-RFE). e P(test-diff): The p-value of the observed difference in test error rates, by paired t-test. f ImproveRec: Relative improvement in the proportion of recovered informative genes by R-SVM than that by SVM-RFE, calculated as: (average #RECR-SVM - average #RECSVM-RFE)/(average #RECSVM-RFE), where #REC is the number of recovered true informative genes with the method stated in the subscript. g P(rec-diff): The p-value of the observed difference in proportion of recovered true informative genes, by paired t-test. |
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|
Zhang et al. BMC Bioinformatics 2006 7:197 doi:10.1186/1471-2105-7-197 |
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