[pymvpa] Results from individual folds
andersson.j.p at gmail.com
Tue Aug 11 09:15:50 UTC 2009
(The email bounced when I sent this question the first time so I try
again. I hope it wont show up as double.)
I am just getting started using PyMVPA so my question is very basic. I
am sure the answer must be available already but I just cant seem to
find it. Sorry about this, but I hope someone can help me out.
My question is how to get the classification results from the N
individual tests using the NFoldSplitter.
#Lets say I have a 10 chunks dataset 'ds' and run:
clf = FeatureSelectionClassifier(
enable_states = ['feature_ids'])
terr = TransferError(clf)
cvterr = CrossValidatedTransferError(terr,
error = cvterr(ds)
#If I now do:
#it gives me one confusion matrix which I guess is the mean one over
all N folds(?)
Any hints or help is much appreciated!
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