"Bootstrap aggregating (bagging) is a meta-algorithm to improve machine learning of classification and regression models in terms of stability and classification accuracy. It also reduces variance and helps to avoid overfitting. Although it is usually applied to decision tree models, it can be used with any type of model. Bagging is a special case of the model averaging approach."
Yeah he's aggregatingly average
but had lots of technique once upon a time.