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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