INTERPRETING PRC RESULTS

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