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  2. A decision tree is a flowchart or tree-like commonly used to visualize the decision-making process of different courses and outcomes. This diagram comprises three basic parts and components: the root node that symbolizes the decisions, the branch node that symbolizes the interventions, lastly, the leaf nodes that symbolize the outcomes.
    gitmind.com/decision-tree-diagram.html
    In its simplest form, a decision tree is a type of flowchart that shows a clear pathway to a decision. In terms of data analytics, it is a type of algorithm that includes conditional ‘control’ statements to classify data. A decision tree starts at a single point (or ‘node’) which then branches (or ‘splits’) in two or more directions.
    careerfoundry.com/en/blog/data-analytics/what-is-…
    A decision tree is a flowchart -like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip comes up heads or tails), each branch represents the outcome of the test, and each leaf node represents a class label (decision taken after computing all attributes).
    en.wikipedia.org/wiki/Decision_tree
    A decision tree is a specific type of flowchart (or flow chart) used to visualize the decision-making process by mapping out different courses of action, as well as their potential outcomes.
    venngage.com/blog/what-is-a-decision-tree/
    A decision tree is a visual map that shows two or more distinct decision pathways. Part flowchart, part cost-benefit evaluation, a decision tree diagram lays out the potential consequences of various solutions via a network of one-directional branches.
    blog.mindmanager.com/decision-tree-diagrams/
     
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