Yıl 2020, Cilt 1 , Sayı 2, Sayfalar 90 - 95 2020-12-29

Applying Decision Tree Techniques to Classify European Football Teams

Bünyamin Fuat YILDIZ [1]


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.
machine learning, decision trees, football, classification, sports
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Birincil Dil en
Konular Bilgisayar Bilimleri, Disiplinler Arası Uygulamalar
Bölüm Research Articles
Yazarlar

Orcid: 0000-0001-7238-1541
Yazar: Bünyamin Fuat YILDIZ (Sorumlu Yazar)
Kurum: EASTERN MEDITARRANEAN UNIVERSITY
Ülke: Turkey


Tarihler

Başvuru Tarihi : 27 Ekim 2020
Kabul Tarihi : 19 Kasım 2020
Yayımlanma Tarihi : 29 Aralık 2020

Bibtex @araştırma makalesi { jscai817250, journal = {Journal of Soft Computing and Artificial Intelligence}, issn = {2717-8226}, address = {Tecde Mah. Gulay Sok. No 6:10/Malatya}, publisher = {Mahmut DİRİK}, year = {2020}, volume = {1}, pages = {90 - 95}, doi = {}, title = {Applying Decision Tree Techniques to Classify European Football Teams}, key = {cite}, author = {Yıldız, Bünyamin Fuat} }
APA Yıldız, B . (2020). Applying Decision Tree Techniques to Classify European Football Teams . Journal of Soft Computing and Artificial Intelligence , 1 (2) , 90-95 . Retrieved from https://dergipark.org.tr/tr/pub/jscai/issue/56697/817250
MLA Yıldız, B . "Applying Decision Tree Techniques to Classify European Football Teams" . Journal of Soft Computing and Artificial Intelligence 1 (2020 ): 90-95 <https://dergipark.org.tr/tr/pub/jscai/issue/56697/817250>
Chicago Yıldız, B . "Applying Decision Tree Techniques to Classify European Football Teams". Journal of Soft Computing and Artificial Intelligence 1 (2020 ): 90-95
RIS TY - JOUR T1 - Applying Decision Tree Techniques to Classify European Football Teams AU - Bünyamin Fuat Yıldız Y1 - 2020 PY - 2020 N1 - DO - T2 - Journal of Soft Computing and Artificial Intelligence JF - Journal JO - JOR SP - 90 EP - 95 VL - 1 IS - 2 SN - 2717-8226- M3 - UR - Y2 - 2020 ER -
EndNote %0 Journal of Soft Computing and Artificial Intelligence Applying Decision Tree Techniques to Classify European Football Teams %A Bünyamin Fuat Yıldız %T Applying Decision Tree Techniques to Classify European Football Teams %D 2020 %J Journal of Soft Computing and Artificial Intelligence %P 2717-8226- %V 1 %N 2 %R %U
ISNAD Yıldız, Bünyamin Fuat . "Applying Decision Tree Techniques to Classify European Football Teams". Journal of Soft Computing and Artificial Intelligence 1 / 2 (Aralık 2020): 90-95 .
AMA Yıldız B . Applying Decision Tree Techniques to Classify European Football Teams. JSCAI. 2020; 1(2): 90-95.
Vancouver Yıldız B . Applying Decision Tree Techniques to Classify European Football Teams. Journal of Soft Computing and Artificial Intelligence. 2020; 1(2): 90-95.
IEEE B. Yıldız , "Applying Decision Tree Techniques to Classify European Football Teams", Journal of Soft Computing and Artificial Intelligence, c. 1, sayı. 2, ss. 90-95, Ara. 2021