support vector classifier
[/səˈpɔːrt ˈvɛktər ˈklæsɪfaɪər/]
nounpl: support vector classifiers
classificador de vetores de suporte
1. A supervised machine learning algorithm used for binary and multiclass classification tasks that finds the optimal hyperplane to separate different classes by maximizing the margin between support vectors
The support vector classifier achieved 95% accuracy on the test dataset by identifying the best decision boundary.
O classificador de vetores de suporte alcançou 95% de precisão no conjunto de testes ao identificar a melhor fronteira de decisão.
2. A machine learning model based on statistical learning theory that uses kernel functions to handle non-linear classification problems
We implemented a support vector classifier with a radial basis function kernel to handle the non-linear data.
Implementamos um classificador de vetores de suporte com um kernel de função de base radial para lidar com dados não-lineares.
Support vector classifier is a highly specialized technical term primarily used in machine learning, data science, and computer science fields. It is not subject to regional linguistic variations and is used consistently across Brazil, Portugal, and other Portuguese-speaking countries with the same translation. The abbreviation 'SVC' or 'SVM' is widely recognized in international technical communities, and Portuguese-speaking data scientists typically use both the English and Portuguese versions interchangeably in professional contexts.
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