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

[Andreas Mueller]

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
>
>