INTERPRETATION OF PRC RESULTS

Performing a comprehensive interpretation of PRC (Precision-Recall Curve) results is vital for accurately evaluating the performance of a classification model. By thoroughly examining the curve's form, we can gain insights into the model's ability to separate between different classes. Parameters such as precision, recall, and the harmonic mean can

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