I am trying to use k-fold cross validation in Matlab. I analyze the examples and Matlab documents about it but I am confused at one point. Can you tell me which usage is correct ?
SVMModel = fitcecoc(trainingData,classes);
cp = cvpartition(classes, 'k', 10);
CVM = crossval(SVMModel, 'CVPartition', cp);
Also, does the usage of this line of code change according to the classifier used in the code? For example, if I use fitcsvm instead of fitcknn, should I remove any function? (I think, I should not.)