Fonte: Procedia Computer Science. Nome do evento: International Conference on Information Technology and Quantitative Management (ITQM 2022). Unidades: FEA, ESALQ
Assuntos: REGRESSÃO LOGÍSTICA, ANÁLISE MULTINÍVEL, MODELOS (ANÁLISE MULTIVARIADA), APRENDIZADO COMPUTACIONAL
ABNT
FÁVERO, Luiz Paulo Lopes et al. Classification performance evaluation from multilevel logistic and support vector machine algorithms through simulated data in Python. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. Disponível em: https://www.sciencedirect.com/science/article/pii/S1877050922019160/pdf?md5=cf898ebda5ae0d70387bdd8044994cd2&pid=1-s2.0-S1877050922019160-main.pdf. Acesso em: 04 out. 2024. , 2022APA
Fávero, L. P. L., Belfiore, P., Santos, H. P., Santos, M. dos, Costa, I. P. de A., & Tarantin Junior, W. (2022). Classification performance evaluation from multilevel logistic and support vector machine algorithms through simulated data in Python. Procedia Computer Science. Amsterdam: Faculdade de Economia, Administração, Contabilidade e Atuária, Universidade de São Paulo. doi:10.1016/j.procs.2022.11.194NLM
Fávero LPL, Belfiore P, Santos HP, Santos M dos, Costa IP de A, Tarantin Junior W. Classification performance evaluation from multilevel logistic and support vector machine algorithms through simulated data in Python [Internet]. Procedia Computer Science. 2022 ; 214[citado 2024 out. 04 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050922019160/pdf?md5=cf898ebda5ae0d70387bdd8044994cd2&pid=1-s2.0-S1877050922019160-main.pdfVancouver
Fávero LPL, Belfiore P, Santos HP, Santos M dos, Costa IP de A, Tarantin Junior W. Classification performance evaluation from multilevel logistic and support vector machine algorithms through simulated data in Python [Internet]. Procedia Computer Science. 2022 ; 214[citado 2024 out. 04 ] Available from: https://www.sciencedirect.com/science/article/pii/S1877050922019160/pdf?md5=cf898ebda5ae0d70387bdd8044994cd2&pid=1-s2.0-S1877050922019160-main.pdf