linear separation
[ˈlɪniər ˌsɛpəˈreɪʃən]
nounpl: linear separations
separação linear
1. The division or distinction between two groups, classes, or datasets using a straight line or hyperplane in geometric or mathematical space
In machine learning, linear separation refers to the ability to divide data points into two categories using a single straight line.
Em aprendizado de máquina, separação linear refere-se à capacidade de dividir pontos de dados em duas categorias usando uma única reta.
2. A property of data where two groups can be completely separated by a linear boundary without overlap
The dataset exhibited perfect linear separation, making it ideal for training a linear classifier.
O conjunto de dados exibiu separação linear perfeita, tornando-o ideal para treinar um classificador linear.
3. In geometry, the spatial segregation of points or objects along a line or in linear fashion
The linear separation of the two populations made statistical analysis straightforward.
A separação linear das duas populações tornou a análise estatística direta.
This is primarily a technical and academic term used in mathematics, computer science, and machine learning fields. It is not commonly used in everyday conversation and is specific to scientific and educational contexts in both Brazil and the United States. The term has become increasingly important with the rise of artificial intelligence and data science applications.
Related Idioms & Phrases
to achieve linear separation
linearly separable problem
the boundary of linear separation
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