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QUESTION 4 All of the following describes a decision tree EXCEPT: It is a type of decision model showing possible consequences. It can be learned
QUESTION 4 All of the following describes a decision tree EXCEPT: It is a type of decision model showing possible consequences. It can be "learned" by splitting the source set into subsets by using an algorithm. It is a model that generates very complex rules and perform classifications via numerous and elaborate computations. It is an information flowchart
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