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Lecture
Model Selection Criteria: AIC, BIC, Cp
Description
This lecture covers model selection criteria such as AIC, BIC, and Cp, used in statistics for data science. It explains the concepts of model selection, prediction error, and the bias-variance tradeoff, providing insights into the tradeoffs between model complexity and accuracy.
Official source
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