[pymvpa] Consistently bad accuracy?

[Raúl Hernández]

Dear PyMVPA community,

I'm doing classification in ROI's, I'm performing a simple 2 way
classification using LSVM, and a leave-one-run-out cross-validation on 4
acquisitions. On some ROI's, I get a good accuracy for the number of
participants (60%), but in others I get consistently bad accuracy (30%). To
test whether the performance is above chance, I use a one sample t test (I
know that it is not the best test for this type of data, I just use it as
quick overview). When I test the bad accuracies, those are also significant.

What does it mean a consistently bad accuracy?

Regards,

Raul
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