Question: How does a decision tree work?Answer: A decision tree is a tree-like model where each node represents a decision based on a feature, and each branch represents an outcome of that decision. It is used for both classification and regression tasks. |
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?