Question: What does precision indicate in a classification task?

Options:

1. The ratio of true positives to the sum of true positives and false negatives
2. The ratio of true positives to the sum of true positives and false positives
3. The ratio of true negatives to the sum of true negatives and false positives
4. The overall correctness of the model

Correct Answer: The ratio of true positives to the sum of true positives and false positives

Solution:

Precision measures the accuracy of positive predictions, calculated as true positives divided by the sum of true positives and false positives.