Akaike information criterion

E1779734 UNEXPLORED

The Akaike information criterion is a widely used statistical measure for model selection that balances goodness of fit with model complexity to help prevent overfitting.

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minimum description length principle → relatedTo → Akaike information criterion ⓘ