INTERPRETING PRC RESULTS

PRC (Precision-Recall Curve) analysis is a crucial technique for measuring the performance of classification models. It provides a comprehensive insight of how the model's precision and recall vary across different decision points. By graphing the click here precision-recall pairs, we can pinpoint the optimal cutoff that balances these two metrics