Akaike information criterion; AIC
A mathematical criterion for model selection, balancing goodness of fit and model complexity.
The Akaike information criterion is often used for model selection.
Named after the Japanese statistician Hirotugu Akaike (赤池 弘次). The term combines his surname with 情報量規準 (information criterion).