Question: Bayes' formula: P(H) P(E|H) P(H|E) = ------------------------------------------------------- [ P(H) P(E|H) ] + [ P(~H) P(E|~H) ] What is the meaning of posterior probability, that is,

Bayes' formula: P(H) P(E|H) P(H|E) = ------------------------------------------------------- [ P(H) P(E|H) ] + [ P(~H) P(E|~H) ] What is the meaning of posterior probability, that is, how is the expression interpreted? Group of answer choices it is the background probability it is the probability of the evidence being false it is the revised probability, the probability that H is true given the evidence, E

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