5.25: Selecting predictors by Schwarz’s Bayesian Information Criterion (BIC) and CV
Bayesian Information Criterion/Schwarz Criterion Introduced. Machine Learning Terms Episode 1
BIC Example in R
In statistics, the Bayesian information criterion (BIC) or Schwarz criterion is a criterion for model selection among a finite set of models; the model with the lowest BIC is preferred. It is based, in part, on the likelihood function and it is closely related to the Akaike information criterion (AIC).
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