The Akaike information criteria (AIC) or the corrected Akaike information criteria(AICc) is a measure of the probability that can be attributed to the response that has occurred.

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The Akaike Information Criterion (AIC) and the corrected Akaike Information Criterion (AICc) are measures used for model selection, evaluating the relative quality of statistical models for a given set of data by estimating the information loss when using a particular model. They do not measure probability directly.

The Akaike Information Criteria (AIC) or the Corrected Akaike Information