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