Tree based models such as ExtraTrees do not need scaling at all. So the difference you see is probably just cross validation (especially with such a small number of samples).
Scaling is only useful for models that makes a prior assumption on the feature distributions such as a the L2 regularizer (C) of SVC, linear or not and the shape of the gaussian kernel for SVC(kernel="rbf") for instance. -- Olivier ------------------------------------------------------------------------------ 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
