Dear community, I would like to use ANOVA + SVM pipeline to check 2 group classification performances of neuroimaging datasets,
My questions are: 1) In pipeline approach implemented by Scikit-learn (http://scikit-learn.org/stable/auto_examples/svm/plot_svm_anova.html) is the cross validation implemented on the whole pipeline (different univariate feature selection for every fold)? 2) Is this enough to exclude I'm introducing a problem in generalization? Thank you very much for your help, Fabrizio ------------------------------------------------------------------------------ Site24x7 APM Insight: Get Deep Visibility into Application Performance APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month Monitor end-to-end web transactions and take corrective actions now Troubleshoot faster and improve end-user experience. Signup Now! http://pubads.g.doubleclick.net/gampad/clk?id=267308311&iu=/4140 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
