K-Ortalama Kümelerinin Sınıf Bilgisi Olarak Karar Ağacı Oluşturmada Kullanılması ve Glokom Çoklu Sınıflandırılmasında Başarıma Etkisi

Sait Can YÜCEBAŞ, Ahmet Cumhur KINACI
1.005 370

Öz


Bu çalışma çoklu sınıflandırmada performans artırımı için K-Ortalama ve Karar Ağacı yöntemlerinden oluşan bir model sunmaktadır. Model glukom veri kümesi üzerinde test edilmiş  kesinlik ölçütü 0,808, ROC alanı 0,839 bulunmuştur


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