[closed] How do I conduct churn prediction of telecom customer dataset with and without bagging by Matlab?

I want to identify graphically the global error in my telecom training and test data set with up to 120 outputs by comparing the result when I apply bagging to logistic regression, linear regression, linear discriminant analysis(LDA), classification tree, neural net and global additive model(GAM) and without bagging (a smoothed global error).