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Journals / Gaziantep Üniversitesi Spor Bilimleri Dergisi / 2018 / Cilt: 3 - Sayı: 1

Estimation of American Basketball League (NBA) Match Results by Artificial Neural Networks

Amerika Basketbol Ligi (NBA) Maç Sonuçlarının Yapay Sinir Ağları ile Tahmini

Ertuğrul AYYILDIZ
Pages
40–53
Publication Date
2018-03-25
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Moreover, by examining the confusion matrix, it has been shown that network faults are distributed regular.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, American National Basketball League (NBA) match results were tried to be predicted using artificial neural networks by using 2015-2016 season data.
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Key Findings & Data:This prediction can be defined as a classification because it will take 0 to 1 value as the win or lose.
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Conclusion & Impact:Moreover, by examining the confusion matrix, it has been shown that network faults are distributed regular.
🔬Design:Modeling & Simulation
📍Scope:2015-2016 Verileri
⚙️Variables:Yapay Sinir Ağları · NBA · Sınıflandırma

Abstract

In this study, American National Basketball League (NBA) match results were tried to be predicted using artificial neural networks by using 2015-2016 season data. This prediction can be defined as a classification because it will take 0 to 1 value as the win or lose. In the study, 596 matches selected from different matchday of the NBA 2015-2016 season were modeled to have 11 different input parameters and 1 output parameter. 396 of them were trained and 200 of them were randomly selected as test data, and an artificial neural network with 3 hidden neurons was designed on both two layers. Logarithmic sigmoid was used as transfer function and purelin function was used as output function, and the values produced by the network are rounded to zero or one for clustering as win or lose. Artificial neural networks have performed well in this model, which is about 90% success. Moreover, by examining the confusion matrix, it has been shown that network faults are distributed regular.

Özet

Bu çalışmada, Amerika Ulusal Basketbol Ligi (NBA) 2015-2016 sezonunun maç verilerinden yararlanılarak maç sonuçları yapay sinir ağları kullanılarak tahmin edilmeye çalışılmıştır. Bu tahmin maçı kimin kazanacağı bilgisini hedeflediği için 0 yada 1 değeri alacağından sınıflandırma olarak tanımlanabilir. Çalışmada NBA 2015-2016 sezonunun farklı dilimlerinden seçilen 596 maç 11 farklı girdi parametresi ve 1 çıktı parametresi oluşacak şekilde modellenmiştir. Bu verilerden 396 tanesi eğitim kalan 200 tanesi ise test verisi olarak rastgele seçilerek her iki katmanında da 3 gizli nöron olan bir yapay sinir ağı tasarlanmıştır. Tasarlanan ağın transfer fonksiyonu olarak logaritmik sigmoid, çıktı fonksiyonu olarak ise purelin fonksiyonu kullanılmıştır, ayrıca ağın ürettiği değerler 0 ya da 1 e yuvarlanarak sınıflandırılması sağlanmıştır. Yaklaşık olarak yüzde 90 başarı yakalanan bu model özelinde yapay sinir ağları başarılı bir performans göstermiştir. Ayrıca hata matrisi incelenerek ağın hatalarının dengeli dağıldığı gösterilmiştir.

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Cite This Article

AYYILDIZ, E. (2018). Estimation of American Basketball League (NBA) Match Results by Artificial Neural Networks. Gaziantep Üniversitesi Spor Bilimleri Dergisi, Cilt: 3 - Sayı: 1, 40–53. https://ajindex.com/articles/760938

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