Which technique is used for reducing the variance of a machine learning model by combining predictions from multiple models?

Question 1

Which technique is used for reducing the variance of a machine learning model by combining predictions from multiple models?

a) Regularization

b) Bagging

c) Feature Selection

d) Hyperparameter Tuning

Question 2

b) Bagging

Which technique is used for reducing the variance of a machine learning model by combining predictions from multiple models?

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1 Answer