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The central choice in the ID3 algorithm is selecting
which attribute to test at each node in thetree.
A statistical property called information gain that
measures how well a given attribute separates the training examples according
to their targetclassification.
ID3 uses information gain measure to select
among the candidate attributes at each step while growing thetree.
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