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bagging classifier

May 18, 2020 · In Scikit-learn, there is a model known as a voting classifier. This is an example of heterogeneous learners. Bagging. Bagging, a Parallel ensemble method (stands for Bootstrap Aggregating), is a way to decrease the variance of the prediction model by generating additional data in the training stage

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