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Old 09-03-2012, 06:44 AM
Keith Keith is offline
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Join Date: Jul 2012
Posts: 16
Default Re: Should SVMs ALWAYS converge to the same solution given the same data?

I see different cross validation errors, but the models always give the same Ein and Eout. There is variation in the svmtrain output, different iterations, values of obj, rho, and even nBSV change, but the models always seem to work the same with svmpredict.
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