training error
[/ˈtreɪnɪŋ ˈɛrər/]
nounpl: training errors
erro de treinamento
1. The difference between predicted values and actual values measured on the dataset used to train a machine learning model
The training error decreased significantly after adjusting the learning rate.
O erro de treinamento diminuiu significativamente após ajustar a taxa de aprendizado.
2. A mistake or failure that occurs during the process of teaching or instructing someone
The instructor overlooked a training error in the new employee's procedure.
O instrutor ignorou um erro de treinamento no procedimento do novo funcionário.
This term is predominantly used in technical and academic contexts, particularly in machine learning and data science fields. In Brazil, it is commonly used in tech hubs like São Paulo and among professionals in AI and software development. The concept is central to understanding model performance in the global technology community.
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