Question: Explain the bias-variance tradeoff in machine learning.Answer: The bias-variance tradeoff is a key concept in model selection. High bias leads to underfitting, while high variance leads to overfitting. It's about finding the right balance to achieve optimal model performance. |
Is it helpful?
Yes
No
Most helpful rated by users:
- Explain the concept of feature engineering.
- Explain the term \'hyperparameter\' in the context of machine learning.
- What is the purpose of the activation function in a neural network?
- What is the purpose of regularization in machine learning?
- What is the concept of a confusion matrix?