Journal of Soft Computing and Artificial Intelligence

Yazarlar: Bünyamin Fuat YILDIZ

Konular:Bilgisayar Bilimleri, Disiplinler Arası Uygulamalar

Anahtar Kelimeler:Machine learning,Decision trees,Football,Classification,Sports

Özet: Machine learning techniques are powerful tools used in all aspects of science. However, these techniques are relatively new in sports. This study was carried out to measure the accuracy of decision trees in the classification of football teams. We applied five types of decision tree algorithms to classify elite football teams in Spain, Italy, and England to determine whether decision tree techniques are robust in classifying elite football teams. The findings show that the accuracy rate is above 77 percent for each of the decision trees. The key qualities that cause branching in decision trees may constitute a criterion for the targeting of football authorities. More research is required to determine which machine learning techniques are more efficient in classifying football teams.

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