INTERPRETING PRC RESULTS

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