Decision Tree
A decision tree is a graphical representation of a decision-making process, showing different outcomes and paths based on various conditions or choices. It is used in several fields, including business, data science, artificial intelligence, and machine learning, to visualize, analyze, and solve complex problems.
Components of a Decision Tree
A decision tree has three main types of components:
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Root Node: The starting point of the tree, representing the primary question or condition from which the decision process begins.
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Internal Nodes: Nodes that represent further questions or conditions that need to be evaluated. Each internal node leads to multiple branches, representing different outcomes or choices based on the answer to the node's question.
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Leaves (Terminal Nodes): The end points of the decision tree. These nodes represent final outcomes, decisions, _________ ___ _______ _________ _____.
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