INTERPRETATION OF PRC RESULTS

Performing a comprehensive interpretation of PRC (Precision-Recall Curve) results is essential for accurately evaluating the effectiveness of a classification model. By carefully examining the curve's form, we can derive information about the model's ability to separate between different classes. Metrics such as precision, recall, and the balanced

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