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You are given the choice of two types of base classifiers (models) to use in a (bagged) committee: Classifier A: which i...

You are given the choice of two types of base classifiers (models) to use in a (bagged) committee: Classifier A: which is known to have an (error) variance of 40, but has been found to produce uncorrelated models under bagging Classifier B: which is known to have an (error) variance of 30, but has been found to produce models with a pairwise covariance of 0.3 under bagging Assuming Classifiers A and B have equal error bias and a committee of size 10, which Classifier would you choose and why?

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Personally, I would go for Classifier B : which is known to have an (error) variance of 30, but has been found to produce models with a pairwise covariance of 0.3 under bagging

Because having a variance of 0.3 is better than having uncorrelated models.

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