Which Attribute Is the Best Classifier?
- The central choice in the ID3 algorithm is selecting which attribute to test at each node in the tree.
- A statistical property called information gain that measures how well a given attribute separates the training examples according to their target classification.
- ID3 uses information gain measure to select among the candidate attributes at each step while growing the tree.
Labels: Machine Learning, Machine Learning Unit-2
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