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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.