ANALYZING PRC RESULTS

Analyzing PRC Results

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

read more