PRC result analysis is a critical process in evaluating the performance of a regression model. It involves thoroughly examining the Precision-Recall curve and deriving key indicators such as accuracy at different thresholds. By analyzing these metrics, we can make inferences about the model's ability to correctly classify instances, specifically at