Bootstrap Aggregation - Bagging
- averages a noisy fitted function to many bootstrap samples, to reduce its variance
- each model is given a resample dataset of original dataset with replacement
- training/generation of each model can be done in parallel
- prediction is done by aggregating the predictions of all trained models into a single prediction