Classification versus Regression

Classification and Regression Trees are made up of two major categories: Classification Trees and Regression Trees. Classification trees work with models that use categorical variables. Regression trees work with numerical variables. In our analysis we use regression trees where we look at the percentage access of a country and groups within that country. To the right you can see a standard decision tree, our analyses are run in R and this is the output from the R program. You will be happy to see soon that we have changed the trees so that they are easier to interpret and hopefully easier on the eyes, but we will let you all be the judge of that.