Table 18.1 in the Elements of Statistical Learning summarizes the performance of several classifiers on a 14 class data set. I am comparing a new algorithm with the lasso and elastic net for such multiclass classification problems.
glmnet version 1.5.3 (R 2.13.0) I am not able to reproduce point 7. (the $L_1$-penalized multinomial) in the table, where the number of genes used is reported to be 269 and the test error is 13 out of 54. The data used is this 14-cancer microarray data set. Whatever I have tried, I get a best performing model using in the neighborhood of 170-180 genes with a test error of 16 out of 54.
Note that in the beginning of Section 18.3, on page 654, some preprocessing of the data is described.
I have contacted the authors -- so far without response -- and I ask if anybody can either confirm that there is a problem in reproducing the table or provide a solution on how to reproduce the table.