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> 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 >> 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
