Average precision summarizes a model's ranking quality across recall levels, commonly used in information retrieval and object detection. It calculates the mean of precision scores at each relevant item found. Data scientists and machine learning engineers benefit most, as it provides a single metric to compare algorithms, especially for imbalanced datasets or tasks like search engines.
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