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_noskin, and phishing datasets.
data_mediumhard
A data frame with 800 rows and 5 variables:
dataset
package, glmnet or saga
runtime in seconds
value of objective function