> 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? 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?
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