Afarin, can you please describe your full data set, as maybe you are making a mistake in how you are setting up the data.
My understanding of what Afarin is saying is that for each person he has a row for successes and a row for failures (but cannot understand why only two rows - would expect multiple rows according to different feature configurations) So what Afarin wants to do is split by person rather than by row? Sean On Wed, Sep 28, 2016 at 5:26 PM, Andreas Mueller <t3k...@gmail.com> wrote: > It's not really clear to me what you want to achieve. > What do you mean by "does not lead to a biased accuracy"? > > > On 09/26/2016 05:06 PM, Afarin Famili wrote: > >> Hi David, >> >> When applying Train_test_split to the sample space, we have a single row >> per subject. I am looking for some other function like Train_test_split >> that can deal with pairs of rows (for each subject), which does not lead to >> a biased accuracy. We are studying memory and have a row of features for >> successful memory encoding, and a second row for unsuccessful memory >> encoding in each of the subjects. Our target space being 1 for successful >> and 0 for unsuccessful encoding respectively. >> How do you recommend me to split this set of data in order to get a >> reasonable/unbiased accuracy? >> >> Thanks, >> Afarin >> >> >> > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn >
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