Sean Tierney

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Practically speaking, this means that a decision tree algorithm selects the best attribute to split but does not backtrack to test other possibilities or reconsider other scenarios.
Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
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