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. Author manuscript; available in PMC: 2010 Jan 14.
Published in final edited form as: J R Stat Soc Series B Stat Methodol. 2009 Feb 20;71(3):615–636. doi: 10.1111/j.1467-9868.2009.00699.x

Table 8.

Cross-validation and test set errors for the following methods are compared on the Ramaswamy Data: Scout(2, ·), Scout(2, ·) using the genes with highest t-statistics on the training set, regularized discriminant analysis, nearest shrunken centroids, support vector machine using one-versus-all classification, and the L2 penalized multinomial. With the exception of RDA, all methods were performed after cube roots of the data were taken and the patients were standardized. RDA was run on the standardized patients, without taking cube roots, as this led to much better performance.

Method CV Err. (of 144) Test Err. (of 54) No. Genes
NSC 35 17 5217
L2 Penalized Mult. 29 15 16063
SVM 33 14 16063
RDA 34 10 16063
Scout(2, ·) 38 11 16063
Scout(2, ·) High T-stat. 21 8 4000