AI & MLCoreAIML-GEN-011
Ensembles: Bagging and Averaging
Averaging many high-variance models reduces variance; bootstrap resampling makes the models different.
- Difficulty
- 2 / 5
- Importance
- 5 / 5
- Study time
- 1–2 h
- Kind of work
- Mixed
Why it matters
The learner can vary ensemble size and explain why averaging bootstrap-trained models shrinks variance but not bias.