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) ? Bests, Roberto
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