A goodness of fit measure that penalizes model complexity (based on the number of parameters). The method with the lowest AIC is thought to represent the best balance of accuracy and complexity. Also see <a href="search.pl?p=BIC">BIC</a>, the Bayesian Information Criterion, which imposes a stronger penalty for complexity.<o:p></o:p></P>