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Which of the following statements is/are CORRECT about ensemble learning? (you c...

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Which of the following statements is/are CORRECT about ensemble learning? (you can choose more than one option)

Bagging is useful to reduce the bias if algorithms are high bias

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In Bagging, models are trained in parallel

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In Bagging, bootstrap is used to sample from features

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Bagging is useful to reduce the variance with big data

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