Intro to Time Series
The Akaike Information Criterion (AIC) is a statistical measure used to compare different models and determine which one best fits a given dataset while penalizing for the complexity of the model. A lower AIC value indicates a better balance between goodness of fit and model simplicity. This criterion is particularly useful in model selection, helping to avoid overfitting by rewarding models that achieve higher explanatory power with fewer parameters.
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