INTERPRETATION OF PRC RESULTS

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

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