BIC

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.