A statistical modeling error where a model fits the noise instead of the underlying signal. This results in a model that is too specific to the training data and doesn't generalize well to new data.
Un error en el modelado estadístico que ocurre cuando un modelo se ajusta al ruido en lugar de a la señal. El modelo se sobreajusta a los datos específicos en lugar de a un patrón generalizable en una población general.
| Fallacy | Overfitting |
|---|---|
| Definition and Examples | Statistical modelling error that occurs when a statistical model fits the noise rather than the signal. The model overfits the particular data or observations rather than fitting a generalizable pattern in a general population. |
Tags: fallacies
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