INTERPRETING PRC RESULTS

PRC (Precision-Recall Curve) analysis is a crucial technique for evaluating 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 visualizing the precision-recall pairs, we can identify the optimal threshold that balances these two me