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).