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PRC result analysis is a essential process in determining the performance of a prediction model. It includes meticulously examining the PR curve and obtaining key indicators such as accuracy at different thresholds. By analyzing these metrics, we can draw conclusions about the model's capacity to correctly classify instances, specifically at differ