Model performance measures how accurately a machine learning system predicts outcomes or makes decisions. It is assessed using metrics like accuracy, precision, and recall. Data scientists use this to refine algorithms, while businesses rely on it to ensure reliable automation, cost efficiency, and better customer experiences.
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