[pymvpa] Problems interpreting GroupClusterThresholding results

[Michael Hanke]

Hi,

On Mon, Sep 28, 2015 at 4:42 PM, Richard Dinga <dinga92 at gmail.com> wrote:

> > I'm performing searchlight support vector regression, not classification,
> > so my error goes from 0 to 2 instead of 0 to 1. Can I simply take `2 -
> > error` (so higher is better) or does the algorithm require the values to
> > lie between 0 and 1?
>
> You can do that, as long as higher is better. Algorithm will just sort them and find nth biggest value.
>
> > The docs say the accuracy maps must be the result of
> > classification, but is there a specific reason regression won't work?
>
> I have no idea :) Original paper doesn't mention regression. Will p-values and FDR still make sense?
>
> Right now I cannot think of a reason we it wouldn't work -- as long as
"bigger is better".

The algorithm converts pretty much anything into probabilities/frequencies.
1. Value corresponding to a particular probability under H0 -> threshold.
2. frequency with which a particular blob size has been observered in a
group average map under H0.

Should work.

Michael




-- 
Michael Hanke
http://mih.voxindeserto.de
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