I think this question was based on a misinterpretation of what the event-related analysis actually does. I was assuming that it conducted a separate classification analysis for each timepoint, but now I'm inferring that it conducts a single analysis, treating the timepoints as independent features. Is that true? Is there a way to automate separate analyses for different timepoints in PyMVPA?
Thanks, Dan On Thu, Jan 9, 2014 at 1:32 PM, Daniel P. Bliss <[email protected]> wrote: > Hi PyMVPAers, > > Part 7 of the tutorial has taught me how to assess the sensitivity of a > voxel for each timepoint in an event-related analysis, but what I'd really > like to do is look at the classification accuracy for each timepoint (a > measure that would incorporate all the voxels). I can access the overall > accuracy in that tutorial with > > sclf.ca.stats.stats['ACC%'] > > but I can't find any information about how to get the accuracy for > individual timepoints (or, for that matter, for individual folds). > > I've inspected the keys in sclf.ca.stats.stats, and the contents of > sclf.ca.stats, but nothing jumps out as being particularly relevant. > > Many thanks! > Dan >
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