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f) Assume m is the minimum number of training examples sufficient to guarantes that with probability 1 a consistent learner using hypothesis space H will

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f) Assume m is the minimum number of training examples sufficient to guarantes that with probability 1 a consistent learner using hypothesis space H will output a hypothesis with true error at worst . Then a second learner that uses hypothesis space H will require 2m training examples (to make the same guarantee) if H=2H, that is the hypothesis class of H is two times larger than that of H. Is this statement true or false? Why

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