[pymvpa] Interpreting mis-classification

[Yaroslav Halchenko]

On Fri, 11 Sep 2009, Jo Etzel wrote:
> In the other cases I have not been able to find any errors (though
> of course they may still exist!). I sometimes find classifications
> in the range of 30-45% (balanced two-class) in some subjects, while
> other subjects are classifying above chance. I have tried various
> types of scaling, partitioning, and classifiers, but have not had
> much luck; often accuracies stay below chance regardless.

So, once again, may be it is that 'chance' performance estimation is too
"optimistic"? or, as you pointed out, data/labeling is not compliant
with the taken assumption for chance performance estimation?

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