Resumen

HERRERA LUNARIO, Hugo  y  PAUCARA OCHOA, Ramiro. Prediction of the final classification in the Spanish soccer league. Rev. Inv. Est. I. [online]. 2020, vol.12, n.1, pp. 62-76. ISSN 2415-2323.

Abstract In this work, the use of machine learning tools is proposed, in particular the logistic regression algorithm to try to predictthe final classification of the next championship of the Spanish Soccer League. The method is experimental of an exploratory type, the data used was assembled based on data available on the Kaggle website, 3 data sets were used in which there is information on the players, the history of matches since 1996 to 2020 and the set of teams that will particípate in the next championship with their current FIFA rankings. The main variables to predictthe results were the FIFA ranking ofeach team, the talent of its players and the history of confrontations. The experiments carried out on the data set show quantitatively that the model developed is appropriate to predict a classification of the teams of the Spanish league in thefollowingyear.

Palabras llave : Machine learning; logistic regression; Kaggle; ranking.