On Mon, Oct 03, 2011 at 07:47:03PM -0400, Satrajit Ghosh wrote: > i didn't look at that at all. i just looked at the docstring of > permutation_test_score and since i was using mean_square_error to evaluate > my models, i simply inserted that and got exactly 1-p. when i plotted the > distribution, i realized the problem.
Actually, I hadn't realized, but 'permutation_test_score' is named 'score', and it does not follow the 'bigger is better rule'. So, in addition to there being a documentation problem, there is a consistency problem. I think that I would favor changing it so that it returns -log(p) (yay, another API breakage :$ ). What do people think? Gaël ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
