This document discusses decision making trees. It defines a decision tree as a graphical representation of possible solutions to a decision based on certain conditions. It describes the key elements of a decision tree including decision nodes, chance nodes, and end nodes. An example decision tree is provided showing a scenario of weekend plans depending on parents' visit and weather conditions. Advantages of decision trees are that they are simple to understand, can provide insights even with little data, use a transparent model, and can be combined with other techniques.