Question: What is a hyperparameter in the context of kernel regression? A parameter that is tuned using the validation set A parameter that defines the kernel
What is a hyperparameter in the context of kernel regression?
A parameter that is tuned using the validation set
A parameter that defines the kernel function
A parameter that minimizes the loss function
A parameter that determines the learning rate
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