What is the bias-variance trade-off?
- A Increasing model complexity reduces bias but increases variance, with an optimum between them
- B Bias and variance always increase together
- C Variance can be fully eliminated
- D Bias only affects linear models
Answer
Increasing model complexity reduces bias but increases variance, with an optimum between them
High bias with poor performance on both train and validation means more data will not help; a more expressive model will.





