Which of the following is a potential consequence of ignoring near-zero variance (NZV) variables in a dataset? Enhanced model interpretability Improved model performance Reduced computational complexity Skewed model performance and overfitting
Added by Cory H.
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NZV variables are features in a dataset that have very little variation, meaning they do not provide much information for distinguishing between different observations. Show more…
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