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MODULE-3
DECISION TREE LEARNING
Decision Tree Representation
• Decision trees classify instances by sorting them down the tree from
the root to some leaf node, which provides the classification of the
instance.
• Each node in the tree specifies a test of some attribute of the instance,
and each branch descending from that node corresponds to one of the
possible values for this attribute.
• An instance is classified by starting at the root node of the tree, testing
the attribute specified by this node, then moving down the tree branch
corresponding to the value of the attribute in the given example. This
process is then repeated for the subtree rooted at the new node.
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MODULE-3-ML.pptx

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  • 4. Decision Tree Representation • Decision trees classify instances by sorting them down the tree from the root to some leaf node, which provides the classification of the instance. • Each node in the tree specifies a test of some attribute of the instance, and each branch descending from that node corresponds to one of the possible values for this attribute. • An instance is classified by starting at the root node of the tree, testing the attribute specified by this node, then moving down the tree branch corresponding to the value of the attribute in the given example. This process is then repeated for the subtree rooted at the new node.
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