[pymvpa] Sensitivity analysis with GNB

[Thomas Nickson]

On Fri, Dec 12, 2014 at 3:17 PM, Nick Oosterhof <
n.n.oosterhof at googlemail.com> wrote:

>
> On 12 Dec 2014, at 16:13, Thomas Nickson <thomas.nickson at gmail.com> wrote:
>
> >> >    # XXX Later come up with some
> >> >    # could be a simple t-test maps using distributions
> >> >    # per each class
> >>
> >> yeah -- something like that might prove being useful, but probably not
> >> too far from omnibus or ad-hoc Anovas which we have.  So that is why
> >> they were never implemented
> > You mean using ANOVAs to calculate the sensitivity? How do I do that?
>
> See e.g.
> http://www.pymvpa.org/generated/mvpa2.measures.anova.OneWayAnova.html
>
> Since the GNB classifier works feature-wise (does not consider any
> covariance across voxels) the F value is a measure of how sensitive a
> feature is in discriminating between the classes.
>

Ah, great, thanks!


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