INTERPRETING PRC RESULTS

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