# BIC

> Source: https://sukruyusufkaya.com/en/glossary/bic
> Updated: 2026-05-13T20:02:24.627Z
> Type: glossary
> Category: matematik-istatistik-optimizasyon
**TLDR:** A model selection criterion that applies a stronger penalty for complexity while evaluating model fit.

<p>BIC is an information criterion used for model comparison in a way similar to AIC, but it penalizes model complexity more strongly. As a result, it tends to favor simpler models. This penalty becomes more pronounced as sample size increases. In statistical modeling, BIC is a useful tool for evaluating which model is both explanatory and economical. It supports the search for models that are simple, but still sufficient.</p>