Which of the following indicates whether a doctor or machine is doing well at finding positive examples in a data set?1 pointSensitivityLikelihood RatioPositive Predictive ValueSpecificity

The measure that indicates whether a doctor or machine is doing well at finding positive examples in a data set is Sensitivity.

Here's why:

1. Sensitivity, also known as True Positive Rate, measures the proportion of actual positives that are correctly identified as such. In other words, it tells us how good the test (or doctor or machine) is at finding positive examples.

2. Likelihood Ratio is a measure of how much a test result will change the odds of having a disease. It doesn't directly tell us how good the test is at finding positive examples.

3. Positive Predictive Value tells us the probability that subjects with a positive screening test truly have the disease. It doesn't directly measure how good the test is at finding positive examples.

4. Specificity, also known as True Negative Rate, measures the proportion of actual negatives that are correctly identified as such. It tells us how good the test is at finding negative examples, not positive ones.