EVALUATION OF PRC RESULTS

Performing a comprehensive analysis of PRC (Precision-Recall Curve) results is crucial for accurately understanding the effectiveness of a classification model. By carefully examining the curve's structure, we can derive information about the model's ability to distinguish between different classes. Metrics such as precision, recall, and the balanc

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