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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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