[pymvpa] Confusion matrix and boxcars

[Yaroslav Halchenko]

I thought about ROC... but haven't thought it through yet -- problem
comes with multiclass classification -- there are ways to pull in ROCs
in there but needs thinking.

event related -- imho we just need ability to append 1 feature into the
'mapping' - offset (in sec) from first volume onset which got into
mapped 'sample'. That would account for what we need I think

On Sun, 14 Sep 2008, Per B. Sederberg wrote:

> Howdy All:

> How hard would it be to add the area under the ROC (AUC) to the
> confusion matrix?  The method is already in pymvpa, but one issue is
> that you need to pass the predicted values (not the actual
> predictions.)  We've talked about this a bit in the past.

> Also, I'd like to explore how we should deal with event-related fMRI
> data where the timing of the events do not line up with the start of a
> TR.  The BoxcarMapper seems to be the way to go, but it'll take some
> thinking to deal with random event offsets.

> Perhaps we can chat about this next week after the paper is out.

> Latros,
> P

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-- 
Yaroslav Halchenko
Research Assistant, Psychology Department, Rutgers-Newark
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