Classification of Iris Flower by Random Forest Algorithm

Hilmi BAYRAKÇI; Abdullah Burak KEŞKEKÇİ; Recep ARSLAN

doi:https://doi.org/10.54569/aair.1018444

Makale detayları

Classification of Iris Flower by Random Forest Algorithm

Yazarlar:

Hilmi BAYRAKÇI | Abdullah Burak KEŞKEKÇİ | Recep ARSLAN

Yayıncı:

Osman ÖZKARACA

Ana Başlıklar:

Özel bilgisayar yöntemleri

Dergi:

Advances in Artificial Intelligence Research 2022 Vol.2 Issue 1, pp.7-14

Belge Tipi:

Makale

Yayın Tarihi:

2/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000447246

Sıklık:

İki Yıllık

pISSN:

2757-7422

DOI:

https://doi.org/10.54569/aair.1018444

Özet:

 

With the introduction of artificial intelligence into our lives, artificial intelligence researches and applications in different fields such as agriculture, health, military and engineering applications have become very popular iris flower was classified using the popular Random Forest, support vector machine and Artificial neural network machine learning classifiers with high accuracy rates. As a result of the classification, the performance of the trained models was evaluated according to the confusion matrix, sensitivity, specificity, accuracy, F1 score, ROC curve and AUC evaluation criteria. The random forest algorithm was the most successful among the trained algorithms with an accuracy rate of 97%.

Makale detayları

Classification of Iris Flower by Random Forest Algorithm

Yazarlar: Hilmi BAYRAKÇI | Abdullah Burak KEŞKEKÇİ | Recep ARSLAN

Yayıncı: Osman ÖZKARACA

Ana Başlıklar: Özel bilgisayar yöntemleri

Dergi: Advances in Artificial Intelligence Research 2022 Vol.2 Issue 1, pp.7-14

Belge Tipi: Makale

Yayın Tarihi: 2/2022

Belge Dili: İngilizce

Document ID (Org No.): 2000447246

Sıklık: İki Yıllık

pISSN: 2757-7422

DOI: https://doi.org/10.54569/aair.1018444

Sayı

Yazarlar:

Hilmi BAYRAKÇI | Abdullah Burak KEŞKEKÇİ | Recep ARSLAN

Yayıncı:

Osman ÖZKARACA

Ana Başlıklar:

Özel bilgisayar yöntemleri

Dergi:

Advances in Artificial Intelligence Research 2022 Vol.2 Issue 1, pp.7-14

Belge Tipi:

Makale

Yayın Tarihi:

2/2022

Belge Dili:

İngilizce

Document ID (Org No.):

2000447246

Sıklık:

İki Yıllık

pISSN:

2757-7422

DOI:

https://doi.org/10.54569/aair.1018444