○ unseen · kind concept · level 0 · 0h
- Requiere: Model Evaluation
Searching the hyperparameter space (grid, random, Bayesian) without leaking test information.
In machine learning, a hyperparameter is a parameter that can be set in order to define any configurable part of a model’s learning process. Hyperparameters can be classified as either model hyperparameters or algorithm hyperparameters. These are named hyperparameters in contrast to parameters, which are characteristics that the model learns from the data.
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- Requiere: Model Evaluation