Instruction: Describe the relationship between bias and variance in model performance.
Context: This question explores the candidate's grasp of a fundamental concept in model accuracy and complexity.
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The way I'd explain it in an interview is this: The bias-variance tradeoff is a practical way to think about model complexity. High-bias models are too simple and miss real structure, so they underfit. High-variance models are too sensitive to the training data, so...