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PRC result analysis is a essential process in assessing the performance of a classification model. It involves meticulously examining the PR curve and deriving key indicators such as accuracy at different thresholds. By interpreting these metrics, we can draw conclusions about the model's skill to accurately predict instances, especially at differe