ANALYSIS OF PRC RESULTS

Performing a comprehensive interpretation of PRC (Precision-Recall Curve) results is crucial for accurately evaluating the performance of a classification model. By carefully examining the curve's form, we can identify trends in the algorithm's ability to classify between different classes. Metrics such as precision, recall, and the F1-score can be

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