Cosine error is a measure often used in contexts such as evaluating the performance of machine learning models, particularly in scenarios involving vector representations (like word embeddings in natural language processing) and comparing the similarity between two vectors. In a mathematical sense, cosine error can be derived from the cosine similarity, which measures the cosine of the angle between two non-zero vectors.
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