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In ID3 algorithm, if we have a class which has two labels big and small where 24 instances is big and 26 instances is small,

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In ID3 algorithm, if we have a class which has two labels "big" and "small" where 24 instances is "big" and 26 instances is "small", then the expected information needed to classify the given samples is: 0.94 B 0.97 0.96 0.99

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