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Timeline for How to interpret glmnet?

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Sep 1, 2017 at 8:51 comment added Michelle I have a question @smci, about the beta values returned by cvglmnet though. I understand that they are beta values at each grid point of attempted lambda values. However, are the beta values returned for each lambda value (1) the average coefficient values from the 10 folds (assuming I used 10foldCV), (2) the beta values from the fold that gave best accuracy, or (3) the coefficients from re-running the model on the whole dataset?
Sep 1, 2017 at 8:44 comment added Michelle Thanks for the very helpful comment! I also experienced that standardizing the variables myself seems to work rather than using the glmnet(standardize=T).
May 23, 2017 at 12:39 history edited CommunityBot
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Feb 1, 2017 at 9:40 history answered smci CC BY-SA 3.0