how to get accuracy using K-fold cross validation with multiclass svm?

Please help me, I want to know accuracy from my classification using K-fold cross validation with multiclass svm. this is my code

if true %please delete this code
  load trainingData
[g, gn] = grp2idx(Group);
TrainingSet=Data;
GroupTrain=g;
TestSet=Data;
end %please delete this code
u=unique(GroupTrain);
numClasses=length(u);
result = zeros(length(TestSet(:,1)),1);
for k=1:numClasses
  %Vectorized statement that binarizes Group
  %where 1 is the current class and 0 is all other classes
  G1vAll=(GroupTrain==u(k))

    models(k) = svmtrain(TrainingSet,G1vAll, ...
                 'Autoscale',true, 'Showplot',false, 'Method','QP', ...
                 'BoxConstraint',2e-1, 'Kernel_Function','rbf', 'RBF_Sigma',1)
end
for j=1:size(TestSet,1)
    for k=1:numClasses
        if(svmclassify(models(k),TestSet(j,:))) 
            break;
        end
    end
    result(j) = k;
end