What does the bias-variance trade-off describe?
- A Increasing model complexity reduces bias but increases variance
- B Bias and variance always move together
- C Variance can be eliminated entirely
- D Bias only affects linear models
Answer
Increasing model complexity reduces bias but increases variance
Total error falls, reaches a minimum, then rises again as complexity grows. The goal is that minimum, not maximum flexibility.





