In this example of 10-fold cross validation https://www.mathworks.com/help/bioinfo/ref/crossvalind.html#:~:text=collapse%20all-,Perform,-10%2DFold%20Cross, the testing accuracies can be recorded (which is just 1 - error rate) for each fold like this -
accuracies = zeros(10,1)
for i = 1:10
test = (indices == i);
train = ~test;
class = classify(meas(test,:),meas(train,:),species(train,:));
classperf(cp,class,test);
accuracies(i) = 1 - cp.ErrorRate
end
After this loop, you can find the mean and the standard deviation of the "accuracies" vector using the "mean" and "std" functions -
Be sure to adapt this example based on your workflow and requirements.
Hope this helps!
