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AIC stands for the Akaike Information Criterion, which is one technique used to select the best model from a class of models using a penalized likelihood. A smaller AIC implies a better model.
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Understanding specifics of glm() model in R
3) The AIC for the model is 50000. How should I interpret this? Can I interpret this without more models to compare to? If it is not useful, what else should I be looking for instead? …
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Prediction vs. Explanation and its Effect on Statistical Methods [duplicate]
I was looking for the differences between AIC and BIC and found this post with an answer stating:
My quick explanation is
AIC is best for prediction as it is asymptotically equivalent to cross-validation …