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Decision tree Classifying a test record is straightforward once a decision tree has been constructed Starting from the root node, we apply the test condition We then follow the appropriate branch based on the outcome of the test This will lead us either to Another internal node, for which a new test condition is applied, or A leaf node The class label associated with the leaf node is then assigned to the record 1/30/2021 PATTERN RECOGNITIONDecision tree Classifying a test record is straightforward once a decision tree has been constructed. Starting from the root node, we apply the test condition. We then follow the appropriate branch based on the outcome of the test. This will lead us either to ◦ Another internal node, for which a new test condition is applied, or ◦ A leaf node. The class label associated with the leaf node is then assigned to the record. 1/30/2021 PATTERN RECOGNITION 5
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