Suppose that a bayesian spam filter is trained on a set of, Computer Engineering

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Suppose that a bayesian spam filter is trained on a set of

Question :

Suppose that a Bayesian spam filter is trained on a set of 10000 spam messages and 5000 messages that are not spam.

The word "opportunity" appears in 175 spam messages and 20 messages that are not spam.

Would an incoming message be rejected as spam if it contains the word "opportunity" and the threshold for rejecting a message is 0.95?

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Computer Engineering: Suppose that a bayesian spam filter is trained on a set of

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Computer Engineering: Suppose that a bayesian spam filter is trained on a set of

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