INTERPRETING PRC RESULTS

PRC (Precision-Recall Curve) analysis is a crucial technique for evaluating the performance of classification models. It provides a read more comprehensive perspective of how the model's precision and recall vary across different cut-off points. By visualizing the precision-recall pairs, we can pinpoint the optimal threshold that balances these two