INTERPRETATION OF PRC RESULTS

Performing a comprehensive interpretation of PRC (Precision-Recall Curve) results is essential for accurately evaluating the performance of a classification model. By thoroughly examining the curve's structure, we can gain insights into the system's ability to classify between different classes. Factors such as precision, recall, and the F1-score c

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