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. |
Guardar para repaso
Guarda este elemento en marcadores, marcalo como dificil o agregalo a un conjunto de repaso.
Inicia sesion para guardar marcadores, preguntas dificiles y conjuntos de repaso.
Es util? Si No
Lo mas util segun los usuarios:
- Explain the concept of feature engineering.
- What is the purpose of regularization in machine learning?
- Explain the term \'hyperparameter\' in the context of machine learning.
- What is the purpose of the activation function in a neural network?
- Explain the term \'precision\' in the context of classification.