Monte Carlo Cross Validation

Hi, I am going to implement the Monte Carlo Cross Validation method in MATLAB. Basically, I gonna use this method to divide the original data into training subset and test subset. Then the training/test subsets are used for SVM classification. The whole process is similar to that of k-fold cross validation.

If anyone one knows how to write the codes, please help!