El subajuste
Example: El subajuste ocurre cuando el modelo no aprende bien los datos.
Definition
"El subajuste" refers to the situation in machine learning when a model fails to adequately learn from the training data, resulting in poor performance and inability to capture the underlying patterns. It often occurs when the model is too simple or insufficiently trained.
Etymology
The term "el subajuste" comes from Spanish, combining the prefix 'sub-' meaning 'under' or 'below' with 'ajuste' meaning 'adjustment' or 'fit.' It literally means 'underfitting,' used in machine learning to describe a model that is not well adjusted to the data. Did you know? The concept parallels the English term 'underfitting,' directly borrowed in technical contexts.
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"El subajuste" appears in the Vocaplus list "Spanish - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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