Description: Decision trees regression splits data into subsets to predict continuous values.
Key Points:
- Easy to interpret and visualize.
- Can handle both numerical and categorical data.
- Prone to overfitting without proper pruning.
Applications: Business forecasting, medical diagnosis, engineering.