What Is Bagging
What Does Bagging Mean? “Bagging” or bootstrap aggregation is a specific type of machine learning process that uses ensemble learning to evolve machine learning models. Pioneered in the 1990s, this technique uses specific groups of training sets where some observations may be repeated between different training sets. Techopedia Explains Bagging The idea of bagging has been used extensively in machine learning to create better fitting for models. The idea is that if you take several independent machine learning units, they can function collectively better than one unit that would have more resources....