Learn how to perform bagging using scikit-learn.


Bagging is a method designed to diminish the variance of an estimator. This is accomplished by training numerous models on distinct subsets of the training data. Each of these subsets is employed to train an individual base learner, and the outcomes from these learners are then aggregated through a voting or averaging process.

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