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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?

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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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