CS计算机代考程序代写 case study Lecture 25 (Section 4.2+ extra)
Lecture 25 (Section 4.2+ extra) Techniques for choosing predictors in MLR: best subsets, forward, backward, Mallow’s CP, AIC Tradeoff between fit and complexity, between bias and variance. Why complexity is important, connection to out of sample behavior Penalized regression: lasso and ridge regression Lecture 26 Review of MLR Lecture 27 (Section 5.1 and 5.2) Intro […]
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