On Fri, Jul 25, 2014 at 1:46 AM, Alexandre Gramfort <
alexandre.gramf...@telecom-paristech.fr> wrote:
>
> indeed but squared loss is cheap to use and can reach pretty good
> classif performance in practice.
>
Indeed the squared loss works surprisingly well in practice for
classification and it has cheap closed-form coordinate updates, contrary to
the squared hinge and log losses.
Mathieu
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