paperKB
coga / coga-kb
Help
Sign in

Chunk #61 — 5 Timings — 5.3 Real data

Source
Regularization Paths for Generalized Linear Models via Coordinate Descent.
Embedded
yes

Text

For the Leukemia and Internet-Ad datasets, the BBR program used fewer than 100 λ values so we estimated the total time by scaling up the time for smaller number of values. The Internet-Ad and Newsgroup datasets are both sparse: 1% nonzero values for the former, 0.06% for the latter. Again glmnet is considerably faster than the competing methods.