[scikit-learn] scikit-learn Digest, Vol 6, Issue 40

[Naoya Kanai]

What if you split the data pairwise(i.e. X_success, X_fail, etc) with subjects matched by row index, then run train_test_split on each one with the same random_state?

Naoya Kanai

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On Mon, Sep 26, 2016 at 2:06 PM Afarin Famili

<
mailto:Afarin Famili <Afarin.Famili at utsouthwestern.edu>
> wrote:

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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

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