dc.contributor.author | UYSAL, Elif | |
dc.contributor.author | ÖZTÜRK, Ali | |
dc.date.accessioned | 2020-08-07T12:52:36Z | |
dc.date.available | 2020-08-07T12:52:36Z | |
dc.date.issued | 2018 | |
dc.identifier | 10.1109/SIU.2018.8404193 | |
dc.identifier.issn | 9781538615010 (ISBN) | |
dc.identifier.uri | http://hdl.handle.net/20.500.12498/2862 | |
dc.description.abstract | Machine learning algorithms are methods used to classify data. Aim of this study is comparison of machine learning algorithms on different datasets. For this study, 9 different machine learning algorithms with 10 fold cross validation method in WEKA is classified on 3 different datasets. As a result of classification, machine learning algorithm which has high accuracy rate is different for 3 datasets. Multilayer Perceptron algorithm for Car Evaluation dataset, Random Forest algorithm for Image Segmentation dataset and Simple Logistic algorithm for User Knowledge Modeling dataset were obtained. © 2018 IEEE. | |
dc.language.iso | Turkish | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.source | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 | |
dc.subject | Veri Seti | |
dc.subject | Makine Öğrenmesi | |
dc.subject | Sınıflandırma | |
dc.subject | WEKA | |
dc.subject | Dataset | |
dc.subject | Machine Learning | |
dc.subject | Classification | |
dc.title | Comparison of machine learning algorithms on different datasets | |
dc.title.alternative | Makine Öğrenmesi Algoritmalarının Farklı Veri
Setleri Üzerinde Karşılaştırılması | |
dc.type | Konferans Bildirisi | |