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10. Suppose that 25% of all emails you receive are spam. An algorithm was developed to filter spam which has a false positive rate of 0.5% and a false negative rate of 4%. You want to calculate how reliable the algorithm is. What is the probability that an email is flagged as spam is actually spam?

10. Suppose that 25% of all emails you receive are spam. An algorithm was developed to filter spam which has a false positive rate of 0.5% and a false negative rate of 4%. You want to calculate how reliable the algorithm is. What is the probability that an email is flagged as spam is actually spam?

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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10. ( Suppose that 25% of all emails you receive are spam. An algorithm was developed to filter spam which has a false positive rate of 0.5% and a false negative rate of 4%. You want to calculate how reliable the algorithm is. What is the probability that an email is flagged as spam is actually spam?
Transcribed Image Text:10. ( Suppose that 25% of all emails you receive are spam. An algorithm was developed to filter spam which has a false positive rate of 0.5% and a false negative rate of 4%. You want to calculate how reliable the algorithm is. What is the probability that an email is flagged as spam is actually spam?
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