In the video, you saw how the complexity of a model labeled \(\hat{f}\) influences the bias and variance terms of its generalization error.

Which of the following correctly describes the relationship between \(\hat{f}\)'s complexity and \(\hat{f}\)'s bias and variance terms?

50 XP

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