El hiperparámetro
Example: Ajustar el hiperparámetro mejora el rendimiento del modelo.
Definition
"El hiperparámetro" refers to a parameter in machine learning that is set before the training process begins and controls the behavior or performance of the model. Adjusting "el hiperparámetro" can significantly influence how well the model learns from data.
Etymology
The word "el hiperparámetro" combines the prefix 'hiper-' meaning 'over' or 'beyond' with 'parámetro,' derived from Greek 'parametros,' meaning 'measure' or 'limit.' Together, it literally means 'over-parameter,' highlighting its role as a higher-level parameter outside the model's internal parameters.
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"El hiperparámetro" appears in the Vocaplus list "Spanish - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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the hyperparameter