In a classification problem, you are comparing the performance of two models using the precision-recall curve. Model A has an area under the precision-recall curve (AUPRC) of 0.95, while Model B has an AUPRC of 0.85. However, you notice that Model A has a lower precision at a high recall level compared to Model B. Which of the following statements is true, and why?

Simulated

Model A is better than Model B because it has a higher AUPRC.

18.4%

Model B is better than Model A because it has a higher precision at a high recall level.

13.2%

Model A is better for imbalanced datasets, because it has a higher AUPRC.

13.2%

Model B is better for imbalanced datasets, because it has a higher precision at a high recall level.

55.3%

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