What is model accuracy?

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Model accuracy measures the percentage of correct predictions made by a machine learning model on a test dataset. A basic performance indicator that can be misleading for imbalanced datasets. More nuanced metrics like precision, recall, and F1 score are often more informative for specific use cases.