EXAMINING PRC RESULTS

PRC (Precision-Recall Curve) analysis is a crucial technique for measuring the performance of classification models. It provides a comprehensive insight of here how the model's precision and recall fluctuate across different cut-off points. By plotting the precision-recall pairs, we can determine the optimal threshold that balances these two metric