Decision Trees Another Example Problem
Top-Down Induction of Decision Trees Main loop: 1. A = the “best” decision attribute for next node 2. Assign A as decision attribute for node 3. For each value of A, create descendant of node 4. Divide training examples among child nodes 5. If training examples perfectly classified, STOP Else iterate over new leaf nodes
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