Evaluation metrics are quantitative measures used to assess the performance of machine learning models, particularly in tasks like language analysis. They provide a way to compare different models and determine how well they predict or classify language data, which is crucial for improving algorithms and ensuring accuracy in natural language processing tasks.
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