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A hospital is developing a machine learning model to assist in diagnosing diseases based on medical images. The data science team is struggling with tuning the model to ensure it generalizes well across different patient cases. They need to avoid both overfitting and underfitting to ensure high accuracy on unseen data. Which of the following statements are true about the difference between overfitting and underfitting? (Select TWO.)