In machine learning, "fit" refers to how well a model captures the underlying relationship between input features and the target variable. A good fit means the model's predictions closely align with actual data patterns, resulting in lower error on both training and unseen data. The other options confuse fit with resource efficiency, training duration, or deployment scalability-factors that do not define how accurately a model represents the data.
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Fundamentals of AI and ML
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