Speeding up sklearn logistic regression

Question

I have a model I\'m trying to build using LogisticRegression in sklearn that has a couple thousand features and approximately 60,000 samples. I\'m try

Answer 1

Try reducing data set size and changing tolerance parameter. For example you can try classifier = LogisticRegression(tol = 0.1)