For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and

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For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives.What is the classifier’s precision?

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Business Analytics

ISBN: 9780357902219

5th Edition

Authors: Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

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Question Posted: Apr 29, 2024 08:00 AM

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For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifiers specificity?
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifiers sensitivity?
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifiers accuracy?
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For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and

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To calculate the classifiers precision we need to determine the number of true positives divide...View the full answer

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