RandomForest classifier implementation in MATLAB - repost

A Matlab implementation of the Random Forest classifier is required. The classifier should be implemented the exact way as it’s implemented in WEKA but in Matlab code i.e. it should be able to load the dataset from .csv file , perform 10 fold cross validation , and then the output should be as follows: 1- Classification accuracy. 2- Number of true positives. 3- Sensitivity. 4- Precision. 5- Recall. 6- F-measure. 7- ROC area. 8- Plot ROC curve. As I mentioned before same as the WEKA random forest classifier but the code should be written in Matlab. Success in implementing this project will guarantee award for the next project which will be the same as this one but for BayesNet classififer.