> 1. Unfortunately "lazy" us didn't implement such a dedicated error > function yet, BUT you have that value as a part of the
> In [84]: print cm.stats['mean(TPR)'] > 0.5 > which is the mean of TPRs per each label, which in turn is what > we are interested here FWIW now it is coming: https://github.com/PyMVPA/PyMVPA/pull/541 and it might better fit your usecase. Chance distribution should be more "reliably" centered around chance of 0.5 regardless of the classifier. I would be happy to be proven wrong -- Yaroslav O. Halchenko Center for Open Neuroscience http://centerforopenneuroscience.org Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755 Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419 WWW: http://www.linkedin.com/in/yarik _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list Pkg-ExpPsy-PyMVPA@lists.alioth.debian.org http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa