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?
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 11ECP: A manufacturer has determined that a machine averages one faulty unit for every 500 it produces....
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