How to implement multi-class SVM with kfold in Matlab?

See more:

MatLab

image-processing

How I can classify a data set (has 11 classes) using SVM with kfold method? Any help to modify below code will be appreciated.

N = 1500; % Number of samples
indices = crossvalind('Kfold', train_label, N);
    for i = 1:N
        Test = (indices == i);
        Train = ~Test;
        SVMStruct = svmtrain(Data_Set (Train,:), train_label (Train,:));
        Age = svmclassify(SVMStruct, Data_Set (Test,:));
    end