Which of the following are true about bagging?Answer choicesSelect only one optionREVISITIn bagging, we choose random subsamples of the data points with replacement.In bagging, individual trees are independent of each other.Bagging helps to reduce variance, and by extension, prevents overfitting.
Question
Which of the following are true about bagging?Answer choicesSelect only one optionREVISITIn bagging, we choose random subsamples of the data points with replacement.In bagging, individual trees are independent of each other.Bagging helps to reduce variance, and by extension, prevents overfitting.
Solution
All of the given options are true about bagging.
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In bagging, we choose random subsamples of the data points with replacement. This is true because bagging stands for bootstrap aggregating, where bootstrap refers to random sampling with replacement.
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In bagging, individual trees are independent of each other. This is also true because each tree is built from a sample drawn with replacement (i.e., a bootstrap sample) from the training set.
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Bagging helps to reduce variance, and by extension, prevents overfitting. This is true because by averaging a set of observations, variance is reduced. Thus, bagging helps in reducing overfitting by reducing the variance.
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