does anybody have expertise with matlab SVM classifier?
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Does anybody know if it's possible to extract more information from SVM classify than just the group? I'm hoping I'll be able to determine the distance from the class boundary. It can serve as a measure of confidence in the classification, or a fuzziness to the membership definition. It seems like that should be possible, I'm wondering if matlab has already implemented that functionality. If not, can anybody suggest a way to implement this as an accessory function to matlab's svm classification?
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Ilya
le 22 Fév 2013
See my comments at the bottom of this thread http://www.mathworks.com/matlabcentral/answers/62757-how-do-i-find-slack-variables-in-svm-distance-to-the-boundary
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Matthijs
le 12 Sep 2013
I don't understand, how do you get a scalar value from Confidence? My sample is a 1x3000 or so vector and Confidence gives me a vector with 3000 or so values. If this is normal, how to obtain a scalar score for the confidence?
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