[pymvpa] Train and test on different classes from a dataset

Yaroslav Halchenko debian at onerussian.com
Tue Feb 5 13:52:32 UTC 2013

On Tue, 05 Feb 2013, MS Al-Rawi wrote:

> Interesting discussion, 

> I have similar expectations to those of Michael, and I find this 4% hard to justify. Could this be due to the randomization algorithm used to permute the training set? Non-perfect randomization could be one reason for this difference. 

since we had only a limited set of permutations/samples -- there is an
error of estimation as well.  But my concern was primarily triggered
by widening of chance distribution with growing SNR.

Yaroslav O. Halchenko
Postdoctoral Fellow,   Department of Psychological and Brain Sciences
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        

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