Pearson correlation between y_true and y_pred is also a standard evaluation
metric in genomic selection. In a sense, it can be seen as a ranking
measure since y_true and y_pred don't need to be equal: they only need to
be collinear to achieve perfect correlation.

+1 for adding pearson_correlation_score

Mathieu

On Tue, Sep 8, 2015 at 9:16 AM, Alexandre Gramfort <
alexandre.gramf...@m4x.org> wrote:

> FYI it's quite common in brain imaging to use correlation of y_pred
> and y_test as metric and not MSE. It's for the same reasons Stylanos
> explains so I am inclined to say it could be a valuable contrib.
>
> Alex
>
>
> On Mon, Sep 7, 2015 at 10:24 PM, Stylianos Kampakis
> <stylianos.kampa...@gmail.com> wrote:
> > Hi Andy,
> >
> > It is because it loses the useful interpretation it has for linear
> > regression. That is, it is no longer the variance explained by the
> model. It
> > is rather a measure that includes the MSE scaled by the variance.
> >
> > There might be some contexts where this might be useful. However, on one
> > hand we lose the a sense of the unit of measurement using this metric
> (which
> > not the case for example for metrics such as MAE). On the other hand, the
> > correlation between true and predicted values can be a quite simpler and
> > clearer measure to use (even though this can, of course, be a matter of
> > preference). The concordance correlation coefficient builds on top of
> that.
> >
> > 2015-09-07 20:38 GMT+01:00 Andy <t3k...@gmail.com>:
> >>
> >> On 09/07/2015 06:03 AM, Stylianos Kampakis wrote:
> >> >
> >> > The interpretation of R^2 is less useful for machine learning models.
> >> > For example, Weka omits it all together for regression models. A
> >> > useful alternative is to simply use the correlation between the true
> >> > and the predicted values.
> >> Can you explain this?
> >> Why do you think it is not useful?
> >>
> >>
> >>
> ------------------------------------------------------------------------------
> >> _______________________________________________
> >> Scikit-learn-general mailing list
> >> Scikit-learn-general@lists.sourceforge.net
> >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
> >
> >
> >
> >
> ------------------------------------------------------------------------------
> >
> > _______________________________________________
> > Scikit-learn-general mailing list
> > Scikit-learn-general@lists.sourceforge.net
> > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
> >
>
>
> ------------------------------------------------------------------------------
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
------------------------------------------------------------------------------
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to