[pymvpa] Consistently bad accuracy?

[Raúl Hernández]

No, it is balanced. It has the same number of observations for each class.

On Mon, Nov 26, 2018 at 12:52 PM Kaustubh Patil <kaustubh.patil at gmail.com>
wrote:

> 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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