Forest models

Forest models, often referred to in the context of machine learning, typically indicate “ensemble methods” based on decision trees, primarily including: 1. **Random Forest**: A popular ensemble learning method that constructs a multitude of decision trees during training and outputs the mode of the classes (for classification) or mean prediction (for regression) of the individual trees. It helps improve accuracy and control overfitting.