An Introduction to Statistical Learning by Gareth James Daniela Witten Trevor Hastie & Robert Tibshirani

Author:Gareth James, Daniela Witten, Trevor Hastie & Robert Tibshirani
Language: eng
Format: epub
Publisher: Springer New York, New York, NY

Model Interpretability: It is often the case that some or many of the variables used in a multiple regression model are in fact not associated with the response. Including such irrelevant variables leads to unnecessary complexity in the resulting model. By removing these variables—that is, by setting the corresponding coefficient estimates to zero—we can obtain a model that is more easily interpreted. Now least squares is extremely unlikely to yield any coefficient estimates that are exactly zero. In this chapter, we see some approaches for automatically performing feature selection or variable selection —that is, for excluding irrelevant variables from a multiple regression model.

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