Evaluation of PRC Results
Performing a comprehensive analysis of PRC (Precision-Recall Curve) results is essential for accurately understanding the effectiveness of a classification model. By carefully examining the curve's shape, we can identify trends in the algorithm's ability to separate between different classes. Metrics such as precision, recall, and the F1-score can