Question

Statement 1: To evaluate a model's performance, we need either precision or recall.
Statement 2: When the value of both Precision and Recall is 1, the F1 score is 0.

• A. Both statement 1 and statement 2 are correct.
• B. Both statement 1 and statement 2 are incorrect.
• C. Statement 1 is correct, but statement 2 is incorrect.
• D. Statement 1 is incorrect, but statement 2 is correct.

Hint:

The F1 score is 1 when both precision and recall are 1, reflecting a perfect model performance.

Answer 1

The Correct Option is C

Precision and Recall are performance metrics used to evaluate classification models.Precision measures the accuracy of positive predictions, while recall measures the ability tocapture all positive instances. The F1 score is the harmonic mean of precision and recall, andwhen both precision and recall are 1, the F1 score is also 1, not 0. Hence, Statement 1 is correct, and Statement 2 is incorrect.