Question

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.

Answer 1

Answer:

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