model generalization
[ˈmɑːdəl ˌdʒɛnərələˈzeɪʃən]
nounpl: model generalizations
generalização do modelo
1. The ability of a trained machine learning or statistical model to perform accurately on new, unseen data that was not part of the training set
Good model generalization is crucial for deploying machine learning systems in production environments.
A boa generalização do modelo é crucial para implantar sistemas de aprendizado de máquina em ambientes de produção.
2. The process of applying a model's learned patterns to data outside its original training dataset
We evaluated model generalization by testing on a separate validation dataset.
Avaliamos a generalização do modelo testando em um conjunto de dados de validação separado.
3. The degree to which a model avoids overfitting and maintains consistent performance across different data distributions
Improving model generalization often involves regularization techniques and cross-validation.
Melhorar a generalização do modelo geralmente envolve técnicas de regularização e validação cruzada.
This is a technical term primarily used in machine learning, data science, and artificial intelligence fields. It is equally understood in both Brazilian Portuguese and Portugal's technical communities. The concept became increasingly important in the 2010s-2020s with the rise of deep learning and large-scale machine learning deployments. In academic settings, both Portuguese-speaking regions use 'generalização do modelo' as the standard translation.
Related Idioms & Phrases
the model generalizes well to unseen data
testing model generalization
poor model generalization
improve model generalization
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