An Introduction to Decision Trees with R

The Decision Tree is one of the widely used powerful toolset in Machine Learning. This seminar is a practical introduction to the Decision Trees – including when to use the decision tree, popular packages in R, how to differentiate a classification tree and a regression tree, how to build the tree model, how to visualize the tree model, how to cross validate the tree, how to read the cross validation plot, how to identify the over-fit if any, and how to prune the tree when necessary. You don’t need to have R language knowledge. I will use .NET developer’s terminology to explain the concepts when necessary.