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Table 9 The comparison of R-SVM vs. WV on Data-S

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

Levela ReduceTestd P(test-diff)e ImproveRecf P(rec-diff)g
800 -12.32% 1.58E-04 -4.01% 8.77E-33
600 -30.90% 1.38E-19 -0.16% 0.482
500 -40.09% 2.98E-32 -0.03% 0.940
400 -48.92% 2.95E-37 -2.21% 1.29E-11
300 -58.87% 1.54E-44 -6.81% 2.56E-35
200 -64.05% 1.72E-48 -13.73% 2.35E-53
150 -60.96% 1.83E-47 -15.52% 2.15E-52
100 -56.41% 2.62E-49 -19.58% 1.29E-57
90 -52.91% 1.58E-42 -19.14% 1.18E-51
80 -50.73% 2.35E-41 -19.08% 1.31E-51
70 -47.11% 4.02E-40 -18.27% 6.03E-47
60 -43.29% 6.80E-38 -17.58% 1.18E-42
50 -36.01% 1.06E-34 -16.35% 1.34E-37
  1. a,d,e,f,g Same as in Table 8.