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Mathematical re-expression, often nonlinear, of data values. Data are often transformed either to meet the assumptions of a statistical model or to make the results of an analysis more interpretable.
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Should the same scaling strategy be applied to both the target class and explanatory features?
I'm working with a dataset where the dependent variable is continuos (sale price of houses) and there a couple dozen features I'm using to predict the sale price using a linear regression model. These …