How does the Akaike Information Criterion (AIC) handle the trade-off between goodness of fit and model complexity in model selection?
- It always prefers a more complex model.
- It always prefers a simpler model.
- It does not consider model complexity.
- It penalizes models with more parameters to avoid overfitting.
The AIC handles the trade-off by introducing a penalty term for the number of parameters in the model. This discourages overfitting and leads to a balance between model fit and complexity.
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