Suppose that 95 of the people tested do not suffer

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a person has a particular disease. Suppose that 95% of the people tested do not suffer from the disease. (That is, pos corresponds to 5% and neg to 95% of the test cases.) Consider the following classi±ers:
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Practice Exercises 3 Classifer C 1 which always predicts negative (a rather useless clas- sifer oF course). Classifer C 2 which predicts positive in 80% oF the cases where the person actually has the disease, but also predicts positive in 5% oF the cases where the person does not have the disease. Classifer C 3 which predicts positive in 95% oF the cases where the person actually has the disease, but also predicts positive in 20% oF the cases where the person does not have the disease. Given the above classifers, answer the Following questions. a. ±or each oF the above classifers, compute the accuracy, precision, recall and specifcity. b. IF you intend to use the results oF classifcation to perForm Further screening For the disease, how would you choose between the classifers. c. On the other hand, iF you intend to use the result oF classifcation to start medication, where the medication could have harmFul eFFects iF given to someone who does not have the disease, how would you choose between the classifers? Answer: No Answer
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Suppose that 95 of the people tested do not suffer from the...

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