The user wants to understand Decision Tree in the context of Machine Learning Foundations and apply it to practical AI governance or compliance work.
A decision tree is an interpretable supervised learning model that represents decision rules in a tree-like structure. Inference follows a path from a root node through feature-based conditions to a leaf node that provides the predicted class or value.
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