unprocessed features
[/ˌʌnˈprɑːsɛst ˈfiːtʃərz/]
noun
características não processadas
1. Raw data or attributes that have not undergone any transformation, cleaning, or analysis; features in their original state before being prepared for machine learning or data analysis
The model's performance improved significantly after converting unprocessed features into normalized vectors.
O desempenho do modelo melhorou significativamente após converter características não processadas em vetores normalizados.
2. In machine learning and data science, input variables that have not been subjected to feature engineering or preprocessing techniques
We need to remove outliers from the unprocessed features before training the algorithm.
Precisamos remover valores atípicos das características não processadas antes de treinar o algoritmo.
3. Raw information or attributes in their natural form without modification, filtering, or computational treatment
The unprocessed features included missing values and inconsistent data formats.
As características não processadas incluíam valores ausentes e formatos de dados inconsistentes.
This is a technical term predominantly used in data science, machine learning, and software development communities in both Brazil and the USA. It is particularly common in academic research papers, technical documentation, and professional settings dealing with artificial intelligence and big data analytics. The term reflects the importance of data preparation in modern computational work.
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