Thanks Eibe, bust the length of the this attribute (not class) how better it can be  (ie., the long, the better)? 

On Sat, Sep 17, 2016 at 6:04 PM, Eibe Frank <eibe@waikato.ac.nz> wrote:
If you only have one attribute (plus a class attribute that you want to predict), it's probably overkill to use an SVM classifier.

Every instance in the data must have the same set of attributes from the SVMs in WEKA, if that's what you are asking.

Cheers,
Eibe

> On 17 Sep 2016, at 21:55, Fernando Lavin <fernandolavin78@gmail.com> wrote:
>
> I meant that, for  feature construction for activity recognition, should the length of feature vector to be feed for SVM classifier necessarily with attribute (column) of the data?
>
> Fernando
>
> On Sat, Sep 17, 2016 at 5:51 PM, Eibe Frank <eibe@waikato.ac.nz> wrote:
> Not quite sure what you are asking. Can you perhaps rephrase the question and/or give an example?
>
> Cheers,
> Eibe
>
> > On 17 Sep 2016, at 18:46, Fernando Lavin <fernandolavin78@gmail.com> wrote:
> >
> > Hi all,
> >
> > I'm wondering if the length of feature vector to be feed for SVM classifier necessarily with one column?
> >
> > Thanks in advance,
> > Fernando
> >
> >
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