Akaike information criterion Given a collection of models for the data, AIC estimates the quality of each model, relative to each of the other models.

AIC is founded on Information theory: it offers a relative estimate of the information lost when a given model is used to represent the process that generates the data. In doing so, it deals with the trade-off between the goodness of fit of the model and the complexity of the model.