Understanding Naive Bayes Classifier

If an email contains the word bu then what is the probability that this email is Spam given the data that we have?

• 40%

• 60%

• 80%

• 100%

If an email contains the word chip what is the probability it is spam?

• 40%

• 60%

• 80%

• 100%

What is the probability of an email being spam if it contains both the word buy and the word cheap?

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If an email contains the word buy and cheap what is the probability to spam?

• 40

• 60

• 80

• 100

What would you do if you have the situation and you have to sort of imagine how many emails would contain the words buy and cheap?

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In an ideal world where everything was pretty how many emails would contain the words buy and cheap?

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What is 10% of 5%?

• 0.5%

• 1%

• 2%

• 3%

What assumption did we make about the words buy and cheap?

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