For 10,000 observations, suppose a classifier generates 215 false positives, 138 false negatives, 9,432 true negatives, and 215 true positives. What is the classifier's sensitivity? Round your answer to three decimal places.
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Sensitivity, also known as recall or true positive rate, measures the proportion of actual positives that are correctly identified by the classifier. It is calculated using the formula: \[ \text{Sensitivity} = \frac{\text{True Positives}}{\text{True Positives} + Show more…
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