Practical decision tree learning algorithms are based on heuristics.

Practical decision tree learning algorithms are based on heuristics. Correct Answer True

Practical decision tree learning algorithms are based on heuristics such as a greedy approach, where the tree is constructed gradually, and locally optimal decisions are made at the construction of each node. Such algorithms cannot guarantee to return the globally optimal decision tree but tend to work reasonably well in practice.
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