PRC (Precision-Recall Curve) analysis is a crucial technique for measuring the performance of classification models. It provides a comprehensive perspective of how the model's precision and recall change across different decision points. By plotting the precision-recall pairs, we can determine the optimal cutoff that balances these two metrics acco