Question

The process of random sampling with replacement from the original dataset to create multiple models is called

Answer 1

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❤. main principle behind the ensemble model is that a group of weak learners come together to form a strong learner. Bagging (Bootstrap Aggregation) is used when our goal is to reduce the variance of a decision tree. Here idea is to create several subsets of data from training sample chosen randomly with replacement.