[pymvpa] Cross validation model selection.

Roberto Guidotti robbenson18 at gmail.com
Thu Jul 3 15:49:10 UTC 2014

Hi all,

I have a technical question about pymvpa cross-validation:
I have a classifier inside my cross-validation procedure, after cv(ds) call
I have error rate for each fold, if then I run clf.predict(brand_new_ds)
will I have predictions based on last cross-validated classifier or based
on best cross-validation classifier or something else?

Does It make sense to look for the "best" cross-validated classifier, to
make predictions on a unseen and unlabeled dataset (like resting-state) ?

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