On 01/15/2016 01:16 PM, Fabrizio Fasano wrote: > 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)? Yes > 2) Is this enough to exclude I'm introducing a problem in generalization? > Yes if your data is i.i.d. If your data is not i.i.d. you might need to change your cross-validation strategy.
------------------------------------------------------------------------------ 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
