AI Chap. 3

AI Chap. 3

1. Ensemble Learning refers to the process of building multiple models and then combining them in a way that can produce better results than individual models.

2. A Decision Tree is a structure that allows us to split the dataset into branches and then make simple decisions at each level.

3. A Random Forest is a particular instance of ensemble learning where individual models are constructed using Decision Trees.