SVC (Support Vector Classifier)
Ciência da Computação
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substantivo
Contexto: "In order to be more accurate about the results the experiments were conducted by using 4 classification algorithms obtained by sklearn libraries for python (18). Those algorithms were: Random Forest, Logistic Regression, MLP classifier and Linear SVC."
Fonte: Apostolou, K., & Tjortjis, C. (2019, July). Sports Analytics algorithms for performance prediction. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-4). IEEE.
Fonte: Apostolou, K., & Tjortjis, C. (2019, July). Sports Analytics algorithms for performance prediction. In 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA) (pp. 1-4). IEEE.
Termo equivalente: Algoritmo Linear SVC
Definição: "The objective of a Linear SVC (Support Vector Classifier) is to fit the data you provide, returning a "best fit" hyperplane that divides, or categorizes your data. From there, after getting the hyperplane, you can then feed some features to your classifier to see what the "predicted" class is."
Fonte: Abdulhadi, N., & Al-Mousa, A. (2021, July). Diabetes detection using machine learning classification methods. In 2021 International Conference on Information Technology (ICIT) (pp. 350-354). IEEE.
Fonte: Abdulhadi, N., & Al-Mousa, A. (2021, July). Diabetes detection using machine learning classification methods. In 2021 International Conference on Information Technology (ICIT) (pp. 350-354). IEEE.
Definição em português: "O objetivo do Linear SVC (Support Vector Classifier. Em português: Classificador de Vetores de Suporte) é ajustar os dados providos pelo usuário, retornando o hiperplano que "melhor se ajusta" para dividir ou categorizar os dados do usuário. A partir disso, depois de obter o hiperplano, você pode adicionar alguns recursos para o classificador para ver qual classe é a " prevista."