distribution shift
[/ˌdɪstrɪˈbjuːʃən ʃɪft/]
nounpl: distribution shifts
mudança de distribuição
1. A change in the statistical distribution of data between training and deployment phases in machine learning models, causing performance degradation
The model experienced a distribution shift when deployed to a new market with different customer demographics.
O modelo sofreu uma mudança de distribuição quando foi implantado em um novo mercado com dados demográficos diferentes.
2. In statistics and data science, a situation where the probability distribution of input or output variables differs between the source and target domains
Researchers must account for distribution shift to ensure their algorithms remain robust across different datasets.
Os pesquisadores devem levar em conta a mudança de distribuição para garantir que seus algoritmos permaneçam robustos em diferentes conjuntos de dados.
This is primarily technical jargon used in machine learning, artificial intelligence, and data science fields. It gained prominence with the rise of AI applications in business and research. The term is used similarly across Brazil, Portugal, and the USA in academic and professional contexts, though the English term 'distribution shift' is often used directly even in Portuguese-speaking technical environments.
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