[pymvpa] Bad accuracy results for cross subject classification

gal star gal.star3051 at gmail.com
Mon Jan 12 08:23:46 UTC 2015

Hello All,
I am wondering how to perform classification over
a cross subject nifti file i've created using FSL.

I've tried to use NFoldPartitioner with LinearCSVMC, though
the results are always 100% accuracy (which looks fishy).

I've assured there is no contamination in the data (no scan from trainset
exists also in testset).

What is the correct way to perform cross subject classification
over functional datasets?

Also attached below is confusion matrix of the described classification.

Your help would be appreciated,
Gal Star
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