What is the ‘bias-variance tradeoff’ in machine learning theory?

AI Fundamentals Hard

AI Fundamentals — Hard

What is the ‘bias-variance tradeoff’ in machine learning theory?

Key points

  • Balancing bias and variance is essential for model performance.
  • Increasing model complexity can reduce bias but increase variance.
  • Overfitting occurs when variance is too high and bias is too low.

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