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Results tagged with hyperparameter
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user 117259
A parameter that is not strictly for the statistical model (or data generating process), but a parameter for the statistical method. It could be a parameter for: a family of prior distributions, smoothing, a penalty in regularization methods, or an optimization algorithm.
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Why use nested validation when doing both hyper-parameter tuning and model selection?
The monograph Cross Validation contains a section on nested cross-validation for hyper-parameter optimisation (page 6). The author refers to this paper for a reason why it is better to decouple hp-sea …
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