Comparison Between Logistic Regression and Support Vector Machines For Classification Purposes

Furkan BAŞER; Ayşen APAYDIN

doi:https://doi.org/10.20290/btdb.67263

Makale detayları

Comparison Between Logistic Regression and Support Vector Machines For Classification Purposes

Yazarlar:

Furkan BAŞER | Ayşen APAYDIN

Yayıncı:

Eskisehir Technical University

Dergi:

Anadolu University Journal of Science and Technology B - Theoretical Sciences 2015 Vol.3 Issue 2, pp.53-65

Belge Tipi:

Makale

Yayın Tarihi:

12/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000417748

pISSN:

2667-419X

DOI:

https://doi.org/10.20290/btdb.67263

Özet:

 

The classification of observations is an important constituent of statistics and machine learning, either for analysis of data sets, or as a subgoal of a more complex problem. A novel machine learning technique, Support Vector Machines (SVM), has recently been receiving considerable attention in pattern recognition and regression function estimation problems. This paper uses standard logistic regression models for binary classification problems and compares them with SVM models with linear and non-linear kernel functions. An application with real data associated with giving birth to a low birth weight baby and patients with cancer of prostate are presented as an illustration. Based on the results of the numerical examples, it is determined that Support Vector Classification method produces remarkable results.

Makale detayları

Comparison Between Logistic Regression and Support Vector Machines For Classification Purposes

Yazarlar: Furkan BAŞER | Ayşen APAYDIN

Yayıncı: Eskisehir Technical University

Dergi: Anadolu University Journal of Science and Technology B - Theoretical Sciences 2015 Vol.3 Issue 2, pp.53-65

Belge Tipi: Makale

Yayın Tarihi: 12/2015

Belge Dili: Türkçe

Document ID (Org No.): 2000417748

pISSN: 2667-419X

DOI: https://doi.org/10.20290/btdb.67263

Sayı

Yazarlar:

Furkan BAŞER | Ayşen APAYDIN

Yayıncı:

Eskisehir Technical University

Dergi:

Anadolu University Journal of Science and Technology B - Theoretical Sciences 2015 Vol.3 Issue 2, pp.53-65

Belge Tipi:

Makale

Yayın Tarihi:

12/2015

Belge Dili:

Türkçe

Document ID (Org No.):

2000417748

pISSN:

2667-419X

DOI:

https://doi.org/10.20290/btdb.67263