A benchmark of SAGA L1-regularized logistic regression in the scikit-learn python package and the python version of glmnet based on subsets of the covtype, ijcnn1, a9a, mushrooms, skin_nonskin, and phishing datasets.
A data frame with 800 rows and 5 variables:
package, glmnet or saga
runtime in seconds
value of objective function
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