Monte Carlo Cross Validation
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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!
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