Classification of the placement success in the undergraduate placement examination according to decision trees with bagging and boosting methods

Tuğba TUĞ KAROĞLU; Hayrettin OKUT

doi:https://doi.org/10.17776/csj.544639

Makale detayları

Classification of the placement success in the undergraduate placement examination according to decision trees with bagging and boosting methods

Yazarlar:

Tuğba TUĞ KAROĞLU | Hayrettin OKUT

Ana Başlıklar:

Astronomi ve ilgili bilimler

Dergi:

Cumhuriyet Science Journal 2020 Vol.41 Issue 1, pp.93-105

Belge Tipi:

Makale

Yayın Tarihi:

3/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000920407

DOI:

https://doi.org/10.17776/csj.544639

Özet:

 


The purpose of this study is to classify the data set which is created by taking students who placed to universities from 81 provinces, in accordance with Undergraduate Placement Examination between the years 2010-2013 in Turkey, with Bagging and Boosting methods which are Ensemble algorithms. The data set which is used in the study was taken from the archives of Turk-Stat. (Turkish Statistical Institute) and OSYM (Assessment, Selection and Placement Center) and MATLAB statistical software program was used. In order to evaluate Bagging and Boosting classification performances better, the success rates of the students were grouped into two groups. According to this, the provinces that were above the average were coded as 1, and the provinces below the average were coded as 0 and dependent variables were created. The Bagging and Boosting ensemble algorithms were run accordingly. In order to evaluate the prediction abilities of the Bagging and Boosting algorithms, the data set was divided into training and testing. For this purpose, while the data between 2010-2012 yearrs were used as training data, the data of the year 2013 were used as testing data. Accuracy, precision, recall and f-measure were used to demonstrate the performance of the methods in the study. As a result, the performance in consequence of "Bagging” and “Boosting” methods were compared. According to this; it was determined that in all performance measure marginally  “Boosting” method produced better results than the “Bagging” method.


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Makale detayları

Classification of the placement success in the undergraduate placement examination according to decision trees with bagging and boosting methods

Yazarlar: Tuğba TUĞ KAROĞLU | Hayrettin OKUT

Ana Başlıklar: Astronomi ve ilgili bilimler

Dergi: Cumhuriyet Science Journal 2020 Vol.41 Issue 1, pp.93-105

Belge Tipi: Makale

Yayın Tarihi: 3/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000920407

DOI: https://doi.org/10.17776/csj.544639

Sayı

Yazarlar:

Tuğba TUĞ KAROĞLU | Hayrettin OKUT

Ana Başlıklar:

Astronomi ve ilgili bilimler

Dergi:

Cumhuriyet Science Journal 2020 Vol.41 Issue 1, pp.93-105

Belge Tipi:

Makale

Yayın Tarihi:

3/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000920407

DOI:

https://doi.org/10.17776/csj.544639