PRC (Precision-Recall Curve) analysis is a crucial technique for website assessing the performance of classification models. It provides a comprehensive understanding of how the model's precision and recall fluctuate across different cut-off points. By plotting the precision-recall pairs, we can pinpoint the optimal cutoff that balances these two m