I need a one-sentence explanation of the use of the AIC in model-building. So far I have “Simply put, the AIC is a relative measure of the amount of observed variation accounted for by different models and allows correction for the complexity of the model.”

Any advice much appreciated.

R

**Answer**

AIC is a number that is helpful for comparing models as it includes measures of both how well the model fits the data and how complex the model is.

**Attribution***Source : Link , Question Author : Community , Answer Author : Peter Flom*