6.1 Briefly outline the major steps of decision tree classification.?
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Answer:A Decision Tree is a simple representation for classifying examples. It is a Supervised Machine Learning where the data is continuously split according to a certain parameter.
Decision Tree consists of :
Nodes : Test for the value of a certain attribute.
Edges/ Branch : Correspond to the outcome of a test and connect to the next node or leaf.
Leaf nodes : Terminal nodes that predict the outcome (represent class labels or class distribution).
Explanation:
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