robustness measure
[/roʊˈbʌstnəs ˈmɛʒər/]
nounpl: robustness measures
medida de robustez
1. A quantitative or qualitative metric used to assess the ability of a system, process, or model to maintain performance under varying conditions, stress, or perturbations
The robustness measure indicated that the algorithm could handle up to 30% data variation without significant performance degradation.
A medida de robustez indicou que o algoritmo poderia lidar com até 30% de variação de dados sem degradação significativa do desempenho.
2. In statistics and data analysis, a metric that evaluates the resilience of results against outliers, model assumptions violations, or data quality issues
Engineers implemented a robustness measure to ensure the bridge structure could withstand unexpected environmental stress.
Os engenheiros implementaram uma medida de robustez para garantir que a estrutura da ponte pudesse resistir ao stress ambiental inesperado.
3. In machine learning and software engineering, a benchmark that quantifies how well a system performs when subjected to adverse conditions or edge cases
The team conducted a robustness measure test to verify that the neural network remained accurate despite adversarial inputs.
A equipe realizou um teste de medida de robustez para verificar que a rede neural permanecia precisa apesar de entradas adversariais.
This is primarily a technical and scientific term used in engineering, computer science, and data science fields. It is equally recognized in both Brazilian Portuguese and European Portuguese technical communities. The term has gained prominence with the rise of machine learning and software reliability discussions in the 21st century.
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