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.