I would also like to have a high dim regression data set.

2012/5/31 Vlad Niculae <[email protected]>:
>
> On May 31, 2012, at 12:42 , Immanuel B wrote:
>
>>> Does N mean n_samples and p n_features?
>> yes
>>
>>> What about number of targets, is it 1 everywhere?
>> not sure what you mean...
>> The first table contains binary classification data, in the second table the
>> number of classes is given by #class.
>>
>> for the regression problem, I belief,  the lpsa variable has been predicted.
>>
>> or are you asking if there is more then one outcome (target) vector?
>> Then its 1 everywhere as in Ax=b when b is a vector.
>
> Yes, this is what I meant, we also need a benchmark with several regression 
> targets.
>
>>
>> I hope this makes sense to you :P
>>
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> ------------------
> Vlad N.
> http://vene.ro
>
>
>
>
>
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