Evaluation of PRC Results
Performing a comprehensive interpretation of PRC (Precision-Recall Curve) results is crucial for accurately understanding the performance of a classification model. By carefully examining the curve's structure, we can gain insights into the system's ability to separate between different classes. Factors such as precision, recall, and the F1-score c