Regarding decision trees, which of the following statements is true?

A decision tree is a graphical model used for making decisions based on certain conditions. Each internal node represents a decision point based on a feature, while each branch signifies the outcome of that decision leading to further nodes or leaves, which represent the final outcomes or classifications.

The statement that the number of branches is at least the number of internal nodes is correct because for each internal node, there must be at least one branch that extends from it to represent its outcomes. Consequently, each internal node produces branches that lead to either further decision points or to leaves.

In a well-structured decision tree, every internal node branches out into possible outcomes (or decisions), and this inherently means that the number of branches must equal to or exceed the number of internal nodes. This aligns with the design of trees in computer science, where a tree with 'n' nodes can have between 'n-1' (in the case of a minimal tree) and 'n' branches (where every node is connected optimally).

Other statements may not hold true across all scenarios encountered with decision trees, such as a decision tree with n leaves having n branches, which is not accurate since it could have fewer branches depending on the structure of the tree. A stump is defined as a