Choice of solver and accuracy

M7. Evaluating model performance M7. Quiz M7.04
#1

Hi,

Is there an impact on Accuracy in regard with the choice of the solver in a LogisticRegression ?

#2

Since the loss function of LogisticRegression is convex, until you get to full convergence, all the solvers will get to the same solution. So the question would be: why do you have so many solvers?

Basically, some solvers will be more efficient than other and may have been added later. A second possibility is that some solvers only work with some combination of parameters. In LogisticRegression, it is usually linked to using sparse vs. dense data and the type of penalty L1/L2/ElasticNet.