[scikit-learn] Probability values from OneClassSVM

[Mamun Rashid]

Hi Nicolas,
Thanks for your reply. Apology for the naive question.
I can see from the example that we can plot the decision boundary using the decision function. 
Not sure how can I extract the ROC and PRC metric from there. A small example would greatly help. 

Thanks,
Mamun

> On 3 Jun 2016, at 17:16, Nicolas Goix <goix.nicolas at gmail.com> wrote:
> 
> Hi Mamun,
> You can draw ROC and PR curves using the OCSVM decision_function
> Nicolas
> 
> 2016-06-03 11:54 GMT-04:00 Mamun Rashid <mamunbabu2001 at gmail.com <mailto:mamunbabu2001 at gmail.com>>:
> Hi everyone,
> I am running OneClassSVM method. It seems unlike the normal SVC, which has an option to return probability, this method does not have any option to retrieve probability values.
> I would like to draw some performance metric such as the ROC and Precision Recall about the performance of the classifier.
> 
> Thanks,
> Mamun
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org <mailto:scikit-learn at python.org>
> https://mail.python.org/mailman/listinfo/scikit-learn <https://mail.python.org/mailman/listinfo/scikit-learn>
> 
> _______________________________________________
> scikit-learn mailing list
> scikit-learn at python.org
> https://mail.python.org/mailman/listinfo/scikit-learn

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20160607/d1f984b5/attachment.html>