changed the plotROCS function to return the AUC of the roc it calculated. changed the iter threshold to 200. changed the run class to, 10 times: partition the data, instantiate and train a classifier, plot the rocs and get auc for that fold.after all 10 folds it averages the AUCS and prints that average