Caesar AI Atlas

Decision Tree

Caesar AI Atlas Definition

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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Decision Tree Source

A supervised learning model composed of a set of conditions and leaves organized hierarchically. For example, the following is a decision tree: !A decision tree consisting of four conditions arranged hierarchically, which lead to five leaves.

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