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. 2006 Dec 14;35(2):540–549. doi: 10.1093/nar/gkl1083

Table 1.

ROC analysis of the classification accuracy achieved with different kernel functions

Organism Accession no. Linear Polynomial Gaussian Δbest-linear
E.coli O157:H7 BA000007 0.960 0.960 0.968 0.008
T.pallidum subsp. Pallidum str. Nichols AE000520 0.920 0.930 0.929 0.010
C.trachomatis D/UW-3/CX AE001273 0.976 0.982 0.987 0.009
B.aphidicola str. APS BA000003 0.986 0.991 0.989 0.005

The ROC0.1 measures the discriminatory power of the SVM in gene identification based on sequence composition with a linear, polynomial or Gaussian kernel function.