| Yazarlar (1) |
Doç. Dr. Kemal AKYOL
Kastamonu Üniversitesi, Türkiye |
| Özet |
| Cancer is a pestilent disease. One of the most important cancer kinds, cervical cancer is a malignant tumor which threats women's life. In this study, the importance of test variables for cervical cancer disease is investigated by utilizing Stability Selection method. Also, Random Under-Sampling and Random Over-Sampling methods are implemented on the dataset. In this context, the learning model is designed by using Random Forest algorithm. The experimental results show that Stability Selection, Random Over-Sampling and Random Forest based model are more successful, approximately 98% accuracy. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| Dergi Adı | International Journal of Information Engineering and Electronic Business |
| Dergi ISSN | 2074-9023 Scopus Dergi |
| Dergi Tarandığı Indeksler | CMCI: CompuMath Citation Index |
| Makale Dili | İngilizce |
| Basım Tarihi | 09-2018 |
| Cilt No | 10 |
| Sayı | 5 |
| Sayfalar | 1 / 7 |
| Doi Numarası | 10.5815/ijieeb.2018.05.01 |
| Makale Linki | http://www.mecs-press.org/ijieeb/ijieeb-v10-n5/v10n5-1.html |
| Atıf Sayıları | |
| Google Scholar | 8 |
