Machine learning: What tends to happen with the cross-validation error in a linear model as the degree of polynomial increases?

Machine learning: What tends to happen with the cross-validation error in a linear model as the degree of polynomial increases?




Answer: It starts high (high bias) and decreases, reaching a minimum, and then increases (high variance).

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