An analysis of ranking techniques for predicting values ​​assigned to players in the FIFA game

• Maurício D. C. Balboni Federal University of Rio Grande (FURG)
• Helida Santos Federal University of Rio Grande (FURG) http://orcid.org/0000-0003-2994-2862
• Giancarlo Lucca Federal University of Rio Grande (FURG) http://orcid.org/0000-0002-3776-0260

DOI: https://doi.org/10.5753/weit.2021.18934

Abstract

This work seeks to compare an application of two different machine learning algorithms. Precisely we take in consideration Public-C and a rule-based algorithm fuzzy, FURIA. For this, it uses two tools that help in the elaboration of predictive models, the KEEL software and an R programming language. The work uses accuracy as a measure of the quality of predictive models, in addition to presenting their confusion matrices. Showing that the model using FURIA presents a performance considered satisfactory.

Keywords: Fuzzy logic, Machine learning, Fuzzy computing

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