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If a hypothesis says it should be positive, but in fact, it is negative, we call it __________(a) A consistent hypothesis(b) A false negative hypothesis(c) A false positive hypothesis(d) A specialized hypothesisI got this question by my college director while I was bunking the class.My question is taken from Learning in portion Learning of Artificial Intelligence

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Right CHOICE is (c) A false positive hypothesis

To explain I would say: Consistent hypothesis GO with examples, If the hypothesis SAYS it should be negative but infect it is positive, it is false negative. If a hypothesis says it should be positive, but in fact, it is negative, it is false positive. In a specialized hypothesis we need to have CERTAIN restrict or special CONDITIONS.



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