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? (ON/se

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QUESTION 8
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?
(Yes/No)
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Transcribed Image Text:Σ * 00 近 T QUESTION 8 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? (Yes/No) SAVE ALL arch F4 F5 F7 F8 PrtScr Insert De レレヨ てレ日 & %23 Bac %24 3. 7. 5. R. Alt Cirl
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