An extensive experimental evaluation of automated machine learning methods for recommending classification algorithms

Author:

Basgalupp M. P.ORCID,Barros R. C.,de Sá A. G. C.,Pappa G. L.,Mantovani R. G.,de Carvalho A. C. P. L. F.,Freitas A. A.

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Vision and Pattern Recognition,Mathematics (miscellaneous)

Reference58 articles.

1. Witten IH, Frank E, Hall MA, Pal CJ (2016) Data mining: practical machine learning tools and techniques, 4th edn. Morgan Kaufmann Publishers Inc., San Francisco

2. Zaki MJ, Meira W Jr (2020) Data mining and analysis: fundamental concepts and algorithms, 2nd edn. Cambridge University Press, Cambridge

3. Michie D, Spiegelhalter DJ, Taylor CC, Campbell J (eds) (1994) Machine learning, neural and statistical classification. Ellis Horwood, Upper Saddle River

4. METAL: meta-learning assistant for providing user support in machine learning and data mining (2002). http://www.metal-kdd.org

5. Brazdil P, Giraud-Carrier C, Soares C, Vilalta R (2008) Metalearning: applications to data mining, 1st edn. Springer, Berlin

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