Thread: Question 12
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  #17  
Old 09-17-2012, 09:58 PM
JohnH JohnH is offline
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Join Date: Jul 2012
Posts: 43
Default Re: Question 13

As a quick (read minimal effort) check of model equivalence, I compared the predicted results of 1,000,000 randomly selected points within [-3,3][-3,3] using the support vectors from both Octave/QP and Python/libsvm. Only three points were classified differently despite the difference in the number of support vectors returned by the two approaches. I'm certain that an analytical comparison of the support vectors would prove their equivalence; however, it hardly seems necessary given the empirical results.
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