[pymvpa] Consistently bad accuracy?

[Kaustubh Patil]

Just for clarification.

Is that data imbalanced, i.e. many more observations from one class?

Best,
Kaustubh

On Mon, Nov 26, 2018 at 12:50 PM Raúl Hernández <raul at lafuentelab.org>
wrote:

> 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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