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Suppose that a Bayesian spam filter is trained on a set of 2000 spam messages and 1000 messages that are not spam. The word lifetime

Suppose that a Bayesian spam filter is trained on a set of 2000 spam messages and 1000 messages that are not spam. The word lifetime appears in 350 spam messages and 15 messages that are not spam. Would an incoming message be rejected as spam if it contains the word lifetime and the threshold for rejecting a message is 0.9?

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