Wikipedia Bootstrap aggregating (Bagging)
ML ensemble meta-algorithm designed to improve the stability and accuracy of ML algorithms used in classification and regression (by combining classifications of randomly generated training sets) Usually applied to decision tree methods, but can be used with any type of method. Special case of the model averaging approach. Reduces variance, and hence the risk of overtting.
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