How to perform cross-validation using svmtrain polynomial function?

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Moon Inder
Moon Inder on 21 Feb 2016
I am using SVM polynomial kernel(Statistics tool box) with order ranging from 3 to 9 (Say). When we perform cross validation with rbf function, we intend to determine sigma and C values. With the best sigma and cost factor value the trained network is tested on the test set. Do we determine cost function and sigma as well while performing cross-validation using SVM polynomial kernel? The commands that I intend to use are
structtr = svmtrain(z1,trainoutput,'Kernel_Function','Polynomial','Polyorder',i,'showplot',false);
grouparousallat = svmclassify(structtr,w1,'showplot',false);

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