Question: Differentiate between bagging and boosting.Answer: Bagging (Bootstrap Aggregating) and boosting are ensemble learning techniques. Bagging builds multiple models independently and combines them, while boosting builds models sequentially, giving more weight to misclassified instances. |
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.