or did I misunderstood the question: subject talks about category specific ones which could be get from diagonal of stats.matrix or from various .stats.stats (IIRC and that is not confusing!!! ;-)), and then question is "for each validation run": confusion matrices per each run could be found under cvte.ca.stats.matrices IIRC
On Fri, 17 Jan 2014, Jiang, Zhiguo wrote: > Hi, All > I am totally new to PyMVPA tool. and forgive me this beginner's question.� > I am trying to follow the tutorials > :�[1]http://dev.pymvpa.org/tutorial_classifiers.html. is there a simply > way to pull out the accuracy for each category (bottle, cat, chair,.. > respectively in the worked example) for each validation run? I know it is > all in cvte.ca.stats.as_string(description=true) but i am sure there is a > better and more elegant way to do so .� -- Yaroslav O. Halchenko, Ph.D. http://neuro.debian.net http://www.pymvpa.org http://www.fail2ban.org Senior Research Associate, Psychological and Brain Sciences Dept. 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 [email protected] http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa
