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Word P(word | spam) P(word | -spam) $ 87% 48% donate 65% 10% research 10% 70% contact 52% 50% cs2402 1% 45% The two emails

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Word P(word | spam) P(word | -spam) $ 87% 48% donate 65% 10% research 10% 70% contact 52% 50% cs2402 1% 45% The two emails are: Email I. Dear research student, we have just uploaded the competition questions for CS2402. Please sign up and contact me before this Friday (15, March, 2019) if you have any questions. The award for the winner is $10,000,000! Also, you can donate your award to the whole class. Email II. I have decided to donate what I have to you. I was diagnosed with cancer of the lungs few years ago. I have been inspired by God to donate my inheritance to you for the good work of God and charity purpose. I am doing this because my family are unbelievers and I will not allow them inherit this money for their own selfishness. I decided to bequeath the sum of $10,000,000.00 to you. If you are much more interested, Contact Thomas with this specified email: thmasbid@gmail.com). Python sketch codes for detecting spam email is provided in "detector.py". You need to implement Bayes rule to compute the probability of spam email for the given two emails. 1) Please fill in the blanks and execute "detector.py" with the two exemplified emails, respectively. 2) Please complete the tables

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