A hierarchical tree that is used to make decisions in an if-then-else fashion. A type of supervised machine learning, a decision tree comprises decision nodes with two possible outcomes. See machine ...

Business owners have to make decisions every day on issues fraught with uncertainty. Information is not perfect, and the best choice is not always clear. One way to handle these vague situations is to ...

Decision tree regression is a machine learning technique . To predict the output y for an input vector X, the tree structure encodes a set of if-then rules such as, "If the value of X at index [2] is ...

One of the most important components of decision making is process organization. Using a decision tree to choose between different courses of action presents possible outcomes in graphic form, making ...

In last month’s article, we touched on the importance of probability in our daily lives. We shared brain teasers and non-intuitive facts that highlighted how an understanding of probability can help ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...