Dear community, I was wondering if it is possible to combine permutation test score with leaveOneOut cross validation
My code: >>>loo = cross_validation.LeaveOneOut(len(age)) >>> score, permutation_scores, pvalue = >>> cross_validation.permutation_test_score(svr_rbf, ALL,age, >>> scoring='mean_squared_error', cv=loo, n_permutations=10, n_jobs=-1) returned me the same permutation score for all the permutations... >>> permutation_scores array([-8.37920475, -8.37920475, -8.37920475, -8.37920475, -8.37920475, -8.37920475, -8.37920475, -8.37920475, -8.37920475, -8.37920475]) Thanks a lot for any suggestion, Fabrizio ------------------------------------------------------------------------------ One dashboard for servers and applications across Physical-Virtual-Cloud Widest out-of-the-box monitoring support with 50+ applications Performance metrics, stats and reports that give you Actionable Insights Deep dive visibility with transaction tracing using APM Insight. http://ad.doubleclick.net/ddm/clk/290420510;117567292;y _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general