Hi,

The main question is, what is your definition of an "important" variable?

Gilles

On 1 June 2013 14:22, o m <oda...@gmail.com> wrote:
> I've been playing around with Lasso and Lars, but there's something that
> bothers me about standardization.
>
> If I don't standardize to N(0, 1), these procedures indicate that a certain
> set of variables are the most important. Yet, if I standardize, I get a
> completely different set of variables. As expected, the lars or lasso plots
> from varying alpha look very different. I know there's  a good reason for
> this, but then what's the right way to identify the important variables from
> a large set?
>
> I could take prediction quality on testing data, but there's a conflict if
> the important variables are so different under standardization.
>
> Any help or pointers is appreciated.
>
> Best Regards.
>
>
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