K. Akyol

Work place: Department of Computer Engineering, Kastamonu University, Kastamonu, Turkey

E-mail: kemalakyol48@gmail.com


Research Interests: Computer systems and computational processes, Systems Architecture, Data Mining, Decision Support System


Kemal Akyol, He received his B.Sc. in Computer Science Department from Gazi University, Ankara/Turkey in 2002. He received his M.Sc. degree from Natural and Applied Sciences, Karabuk University, Karabuk, Turkey and Ph.D. degree from the same department. His research interests include data mining, decision support systems and expert systems. 

Author Articles
Evaluation of Different Machine Learning Methods for Caesarean Data Classification

By O.S.S. Alsharif K.M. Elbayoudi A.A.S. Aldrawi K. Akyol

DOI: https://doi.org/10.5815/ijieeb.2019.05.03, Pub. Date: 8 Sep. 2019

Recently, a new dataset has been introduced about the caesarean data. In this paper, the caesarean data was classified with five different algorithms; Support Vector Machine, K Nearest Neighbours, Naïve Bayes, Decision Tree Classifier, and Random Forest Classifier. The dataset is retrieved from California University website. The main objective of this study is to compare selected algorithms’ performances. This study has shown that the best accuracy that was for Naïve Bayes while the highest sensitivity which was for Support Vector Machine.

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