Am 04.12.2012 15:15, schrieb Olivier Grisel: > 2012/12/4 Philipp Singer <kill...@gmail.com>: >> >>> Have you scaled your additional features to the [0-1] range as the >>> probability features from the text classifier? >>> >> >> Until now I performed Scaler() (im on 0.12 atm) on the new feature >> space. Should I do this on my appended features only? But well, they are >> not exactly between 0 or 1 then. I would probably need MinMaxScaler from >> 0.13 which I cant access atm. > > Variance based scaling should be good enough. >
Interestingly, I get worse results when I scale using an ExtraTreesClassifier than if I just leave the features as they are (i.e., probability features between 0 and 1 and the rest something else). Also normalizing with axis 0 doesn't help. Regarding the low number of samples: I agree, but cant change that atm :( ------------------------------------------------------------------------------ LogMeIn Rescue: Anywhere, Anytime Remote support for IT. Free Trial Remotely access PCs and mobile devices and provide instant support Improve your efficiency, and focus on delivering more value-add services Discover what IT Professionals Know. Rescue delivers http://p.sf.net/sfu/logmein_12329d2d _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
