Web Reference: In this paper, we will discuss what is meant by variable selection, why variable selection is important, the different methods for variable selection and their advantages and disadvantages. Variable selection is intended to select the best subset of predictors. But why bother? We want to explain the data in the simplest way redundant predictors should be removed. The principle of Occam's Razor states that among several plausible explanations for a phenomenon, the simplest is best. Jan 2, 2018 · We will first review various statistical prerequisites for variable selection, and will subsequently use this toolbox to describe the most important variable selection methods that are applied in life sciences.
YouTube Excerpt: In this lesson, we will talk about the Cement Example with Forward, Backward and Stepwise
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