Probability and Statistics | AIC and BIC

AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion) are both statistical measures used for model selection, helping to determine the best model from a set of candidate models. They aim to balance model fit with model complexity, penalizing models with more parameters to avoid overfitting. Generally, lower AIC and BIC values indicate a better model.
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