Define specific boundary and general boundary in machine learning
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♦The general boundary G, with respect to hypothesis space H and training data D, is the set of maximally general members of H consistent with D.
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Definition: The general boundary G, with respect to hypothesis space H and training data D, is the set of maximally general members of H consistent with D.
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