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Summative exam $|$ LinkedIn Learning

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Question $36$ of $40$

What principle underlies the "bias$-$variance tradeoff" in machine learning?

maximizing model complexity at all times to ensure the capture of all possible patterns in the data

ignoring model bias entirely to focus on variance, assuming this will lead to better generalization

reducing the model's variance exclusively to produce consistent results, regardless of the dataset

balancing model complexity and training data fit to optimize performance