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 <[email protected]> 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 <[email protected] > <mailto:[email protected]>>: > 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 > [email protected] <mailto:[email protected]> > https://mail.python.org/mailman/listinfo/scikit-learn > <https://mail.python.org/mailman/listinfo/scikit-learn> > > _______________________________________________ > scikit-learn mailing list > [email protected] > https://mail.python.org/mailman/listinfo/scikit-learn
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