model error
[ˈmɑːdəl ˈɛrər]
nounpl: model errors
erro do modelo
1. The difference between predicted values generated by a statistical or computational model and actual observed values in reality
The model error increased significantly when the input variables fell outside the training range.
O erro do modelo aumentou significativamente quando as variáveis de entrada caíram fora do intervalo de treinamento.
2. In statistics and machine learning, a measure of how well a model fits the data, often quantified as residuals or deviation from expected outcomes
We need to reduce the model error by adjusting the hyperparameters.
Precisamos reduzir o erro do modelo ajustando os hiperparâmetros.
3. A deficiency or inaccuracy inherent in a mathematical or scientific model's structure or assumptions
The systematic model error was due to oversimplified assumptions about the system.
O erro sistemático do modelo foi devido a suposições excessivamente simplificadas sobre o sistema.
The term 'model error' is predominantly used in technical, academic, and professional contexts in both Brazil and the USA. In Brazilian universities and tech companies, it's common to encounter this terminology in engineering, statistics, and data science courses. The concept is universally understood across both cultures in scientific and computational fields.
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