Performing a comprehensive evaluation of PRC (Precision-Recall Curve) results is crucial for accurately understanding the effectiveness of a classification model. By meticulously examining the curve's structure, we can gain insights into the algorithm's ability to separate between different classes. Metrics such as precision, recall, and the harmon

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