Question: Explain the concept of ensemble learning.Answer: Ensemble learning combines the predictions of multiple models to improve overall performance. Common ensemble techniques include bagging, boosting, and stacking. The idea is that the combination of diverse models can provide better results than individual models. |
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?