Hi, Oh, I had skimmed over the page and had not noticed the algorithm was expecting accuracy maps, so I was passing it error maps (thus lower is better), hence my confusion.
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? The docs say the accuracy maps must be the result of classification, but is there a specific reason regression won't work? Thanks, Bill On Sep 28, 2015 5:21 AM, "Richard Dinga" <[email protected]> wrote: > Hi, > I am pretty sure, that they are added to a cluster if they are higher than > a threshold. > You are looking for voxels with the accuracy significantly higher than a > chance. > > Best, > Richard > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa >
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