DOC Explain solver choices for LogisticRegression
@@ -817,11 +817,10 @@ The following table summarizes the penalties supported by each solver:
| Robust to unscaled datasets | yes | yes | yes | no | no |
+------------------------------+-----------------+-------------+-----------------+-----------+------------+
-The "saga" solver is often the best choice but requires scaling. The
-"lbfgs" solver is used by default for historical reasons.
-
+The "lbfgs" solver is used by default for its robustness. For large datasets
+the "saga" solver is usually faster.
For large dataset, you may also consider using :class:`SGDClassifier`
-with 'log' loss.
+with 'log' loss, which might be even faster but require more tuning.
.. topic:: Examples:
