Tag: Penalized Regression

1
Why a penalty is good in generalized regression

A penalty can seriously ruin your day. Forget to pay a bill on time, and a late penalty will cost you a few more dollars. When a yellow flag hits the football field, a penalty can cost your favorite team field position, momentum and maybe even some points. But a penalty

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5
Overwhelmed by too many variables in predictive modeling?

In regression problems, we are often faced with choosing a set of predictor variables from what may be a very large set of candidate predictors. When building our model, we want to find a meaningful set of predictors that yields accurate predictions. Classical methods like forward selection and all-subsets regression

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