[pymvpa] Category specific accuracy

[Yaroslav Halchenko]

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
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