Chunk #58 — 5 Timings — 5.2 Lasso-logistic regression

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Regularization Paths for Generalized Linear Models via Coordinate Descent.

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Table 3 shows some results when the feature matrix is sparse: we randomly set 95% of the feature values to zero. Again, the glmnet procedure is significantly faster than l1lognet.