hi oliver,
i didn't look at that at all. i just looked at the docstring of
permutation_test_score and since i was using mean_square_error to evaluate
my models, i simply inserted that and got exactly 1-p. when i plotted the
distribution, i realized the problem.
cheers,
satra
On Mon, Oct 3, 2011 at 7:40 PM, Olivier Grisel <[email protected]>wrote:
> 2011/10/4 Satrajit Ghosh <[email protected]>:
> >
> >> I wouldn't try to have a too simple message by fitting all the metrics
> in
> >> the framework. I don't think that it can work: they test for different
> >> things.
> >
> > i think just a note to say 'bigger is better' would suffice wherever a
> score
> > func is used.
> > cheers,
>
> It's already the case isn't it?
>
> https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/metrics/metrics.py
>
> Can you see a docstring where this convention is not stated explicitly?
>
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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threats, fraudulent activity and more. Splunk takes this data and makes
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