# AIC

> Source: https://sukruyusufkaya.com/en/glossary/aic
> Updated: 2026-05-13T20:02:45.059Z
> Type: glossary
> Category: matematik-istatistik-optimizasyon
**TLDR:** An information criterion that supports model selection by balancing model fit against model complexity.

<p>AIC is a model selection criterion that evaluates both how well a model fits the data and how complex that model is. Looking only at fit often rewards overly complex models, so AIC introduces a penalty to help produce a more balanced decision. It is commonly used in statistical modeling and probabilistic model comparison. The value of AIC lies in its attempt to balance “good fit” against “unnecessary complexity.”</p>