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What is a hyperparameter in the context of kernel regression? A parameter that defines the kernel function. A parameter that sets the learning rate. A

What is a hyperparameter in the context of kernel regression?

A parameter that defines the kernel function.

A parameter that sets the learning rate.

A parameter that is adjusted using the validation set.

A parameter that minimizes the loss function.

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