This advanced 12th Grade sequence explores how to evaluate mathematical models for predictive accuracy. Students move from identifying overfitting and underfitting to implementing cross-validation, understanding the bias-variance tradeoff, and using information criteria (AIC/BIC) to select robust models.

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