What is Bagging?

Bagging stands for Bootstrap Aggregating.

👉 How it works

• Multiple subsets of data are created by random sampling with replacement (bootstrap sampling).

• A base model (e.g., decision tree) is trained on each subset independently.

• The final prediction is made by majority voting (for classification) or averaging (for regression).