Assume 90% of all emails sent is spam. Based on this information, a machine learning startup Spamalot Inc. claims to have solved the email spam detection problem: for any new email, with probability 0.9 they categorizes the email as 'spam' and otherwise the email is marked as 'not spam.' Will the method correctly categorize all future emails? If yes, brie y explain why. If not, what will be the accuracy of the method? Briefly explain your answer.

Question

Fernando Barr

Mathematics

23 May, 19:40

Assume 90% of all emails sent is spam. Based on this information, a machine learning startup Spamalot Inc. claims to have solved the email spam detection problem: for any new email, with probability 0.9 they categorizes the email as 'spam' and otherwise the email is marked as 'not spam.' Will the method correctly categorize all future emails? If yes, brie y explain why. If not, what will be the accuracy of the method? Briefly explain your answer.

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Answers (1)

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Skye · Answer 1

the answer is No because with 90% accuracy and 0.9 probability some emails will be spam and will not be categorized as spam since it is using probability.

The Accuracy percentage is correct at 90%

Step-by-step explanation:

probability is the likelihood of an event to occur or not