Definition
Bootstrap Aggregating: An ensemble learning technique that trains multiple versions of the same model on different random subsets of the training data and averages their predictions.
In short: Bootstrap Aggregating: An ensemble learning technique that trains multiple versions of the same model on different random subsets of the training data and averages their predictions.