linear decision boundary
[/ˈlɪniər dɪˈsɪʒən ˈbaʊndri/]
nounpl: linear decision boundaries
fronteira de decisão linear
1. A straight line, plane, or hyperplane used in machine learning to separate data points into different classes or categories
The support vector machine found a linear decision boundary that effectively separated the two classes.
A máquina de vetores de suporte encontrou uma fronteira de decisão linear que separava efetivamente as duas classes.
2. In binary classification problems, a geometric separator defined by a linear equation that divides the feature space into two regions
When data is linearly separable, a linear decision boundary can achieve perfect classification accuracy.
Quando os dados são linearmente separáveis, uma fronteira de decisão linear pode alcançar precisão de classificação perfeita.
This is a technical term primarily used in machine learning, statistics, and data science fields. It is not commonly used in everyday conversation but is standard terminology in academic and professional environments in both Brazil and the USA. The concept is fundamental in computer science education and AI development.
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