Performing a comprehensive analysis 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 identify trends in the model's ability to separate between different classes. Factors such as precision, recall, and the balanced measure

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