Hands-On Neural Network Programming with C#

Decision trees

Decision trees can be used for both classification and regression. Decision trees answer sequential questions with a yes/no, true/false response. Based upon those responses, the tree follows predetermined paths to reach its goal. Trees are more formally a version of what is known as a directed acyclic graph. Finally, a decision tree is built using the entire dataset and all features.

Here is an example of a decision tree. You may not know it as a decision tree, but for sure you know the process. Anyone for a doughnut?

As you can see, the flow of a decision tree starts at the top and works its way downward until a specific result ...