What is stacking in Machine Learning?

Question

Can anyone explain the stacking in Machine Learning?

Answer 1

Stacking is an ensemble learning technique, which combines multiple classification/regression models with the help of a meta-classifier or a meta-regressor. It uses a meta-learning algorithm to learn how to best combine the predictions from two or more base machine learning algorithms.

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