ANALYZING PRC RESULTS

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