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    Common Pitfalls to Avoid When Working With AUC ROC Curve – 2024 Guide

    When working with machine learning models, evaluating their performance is critical to determine their accuracy and effectiveness. One of the most commonly used metrics is the Area Under the Receiver Operating Characteristic (AUC ROC) curve, which measures the model’s ability to distinguish between positive and negative classes. However, working with the AUC ROC curve can be tricky, and there are…

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