How to get result for each k-fold cross validation

The function crossval returns the partitioned model and 10 trained models for a 10-fold cross validation, and kfoldloss calculates the loss. However, I want to see the accuracy of each trained models within the partitioned model, what should I do?

Answer 1

[ayca firtin]

SVM = fitcsvm(X,y,'KernelFunction', 'rbf', 'Standardize',true,'KernelScale', 'auto') ;

CVS = crossval(SVM);

classLoss = kfoldLoss(CVS, 'Mode', 'individual')