2013/7/3 Josh Wasserstein <ribonucle...@gmail.com>: > Hmm, I noticed that if I run > > from sklearn import preprocessing > X = preprocessing.scale(X) > > beforehand, it runs extremely fast! > > Why is that?
Because support vector machines are quite sensitive to extreme feature values. You should always scale anything that goes into an SVM. This is documented: http://scikit-learn.org/stable/modules/svm.html#tips-on-practical-use -- Lars Buitinck Scientific programmer, ILPS University of Amsterdam ------------------------------------------------------------------------------ This SF.net email is sponsored by Windows: Build for Windows Store. http://p.sf.net/sfu/windows-dev2dev _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
