Could you please paste the y_true and y_probas you use to calculate the
roc_curve? Sometimes the roc curve may look very strange as the denominator
for precision is "relevant document" retrieved which varies with
thresholds. Could please also check that whether recall is decreasing in
your case?
On Mon, Nov 26, 2012 at 11:09 PM, Olivier Grisel
<olivier.gri...@ensta.org>wrote:
> 2012/11/26 François Kawala <francois.kaw...@gmail.com>:
> > Hello everybody,
> >
> > I'm interacting with "Scikit-learn peoples" for the first time, and I
> have
> > to say that is an amazing work that you've done here. I am very grateful
> for
> > the time you've spent in order that beginners like could play with such
> > great tools.
> >
> > Having seen this example
> > http://scikit-learn.org/dev/auto_examples/plot_precision_recall.htmlI've
> > tried to plot the precision / recall curve on my own data.
> >
> > The result is surprising, in fact most of the curves are consistent,
> > however, sometimes the output looks like that :
> > http://s10.postimage.org/d8uazvjt5/pr_curve_1353936568.png
> >
> > Does it make sense to you ?
>
> Which version of scikit-learn are you using. Have you tried to use an
> up-to-date clone of the git master branch?
>
>
> > I've seen in the bug tracker, a couple of weeks ago, a bug fix on the
> > precision_recall_curve function, could It be an explanation ?
>
> Maybe.
>
> --
> Olivier
> http://twitter.com/ogrisel - http://github.com/ogrisel
>
>
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--
LI, Wei
Tsinghua/CUHK
http://kuantkid.github.com/
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