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I’m using the svmtrain function to train the support vectors and after that the svmclassify function for the classification step. This function returns the label of the class of the classified data in a binary way (0 or 1), so I can’t use any confidence value for a multiclass classification.
Is there any way to obtain the soft-margin value for each classified data in Matlab?
I used
Libsvm, that can be implemented in Matlab. You can find it at CSIE Libsvm.