After the first split, the decision tree algorithm examines each of the two subsets of data and finds a predictor variable and a value that gives the most information. ... Displaying the Decision Tree ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of decision tree regression using the C# language. Unlike most implementations, this one does not use recursion ...

After training decision trees against data, the algorithm is then run against new data in a test set. Before algorithm training, a test set is randomly extracted from the original set.