Haven't try to tune the parameters of the combined normal data though (dont know why i forget that..) I'll do that. Thanks Andy
Regards, Ady On Wednesday, August 5, 2015, Andreas Mueller <t3k...@gmail.com> wrote: > Do you have ground-truth? Then you should tune the parameters. > Have you done that? > > > On 08/04/2015 01:45 PM, Ady Wahyudi Paundu wrote: > > Hi Andy, thank you for the swift reply. > > > > No, for both case I was using the same set of parameters (nu and gamma > > = 0.01, kernel=rbf) > > > > Thank you for your suggestion, I will look into it. > > > > Regards, > > Ady > > > > On 8/5/15, Andreas Mueller <t3k...@gmail.com <javascript:;>> wrote: > >> Hi Ady. > >> Are you selecting parameters separately for the two models in the > >> separate case? > >> Btw, if you are modelling a single normal, maybe EllipticEnvelope would > >> work better. > >> > >> Best, > >> Andy > >> > >> On 08/04/2015 01:07 PM, Ady Wahyudi Paundu wrote: > >>> Hi all, > >>> > >>> How am I supposed to work with multiple set of normal data for > one-class > >>> SVM? > >>> If I have two normal scenario data set, A and B for learning phase, > >>> should I create predictor model separately (M(A) + M(B)) or can I > >>> combine A and B to create just a single predictor model (M(A+B))? > >>> > >>> I have try both approach using one-class SVM in scikit-learn, and my > >>> results shows that FPR for combined normal data set is significantly > >>> higher (more than 30% in average) than separate prediction (suggesting > >>> that separate prediction is better than combined prediction). I just > >>> want to confirmed this findings, is that how it supposed to be? > >>> > >>> Are there any way to improved combined prediction model for one-class > >>> SVM? > >>> > >>> Thank you in advance. > >>> > >>> Best regards, > >>> Ady > >>> > >>> > ------------------------------------------------------------------------------ > >>> _______________________________________________ > >>> Scikit-learn-general mailing list > >>> Scikit-learn-general@lists.sourceforge.net <javascript:;> > >>> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >> > >> > ------------------------------------------------------------------------------ > >> _______________________________________________ > >> Scikit-learn-general mailing list > >> Scikit-learn-general@lists.sourceforge.net <javascript:;> > >> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > >> > > > ------------------------------------------------------------------------------ > > _______________________________________________ > > Scikit-learn-general mailing list > > Scikit-learn-general@lists.sourceforge.net <javascript:;> > > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > > > > ------------------------------------------------------------------------------ > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net <javascript:;> > 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
