A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025)

Hüseyin Başaran; Yunus Eroğlu; Suleyman Mete

doi:10.17093/alphanumeric.1886703

A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025)

Abstract

Assessing university satisfaction levels is crucial for achieving expected performance from universities. In this regard, this study investigates the forecasting of satisfaction scores at universities in Türkiye. In the application stage, Turkiye University Satisfaction Survey (TUMA), Council of Higher Education (YÖK) Statistics, and University Ranking by Academic Performance (URAP) data were employed. This data covers the period between 2016-2025. Linear Regression, Random Forest, Gradient Boosting, Tree, Neural Network, and Support Vector Machine (SVM) machine learning algorithms were applied to predict satisfaction scores. The trials for each model were carried out using Orange version 3.39 on samples taken according to different satisfaction levels and university types. After that, the model performances were compared and the best trial results show that model performances differ according to institution and satisfaction level type. Thus, it was concluded that institutions need to use different models for their satisfaction score predictions, depending on the level of satisfaction and the type of university.

Keywords

References

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Details

Primary Language

English

Subjects

Industrial Engineering

Journal Section

Research Article

Authors

Hüseyin Başaran
0009-0005-3641-4760
Türkiye

Yunus Eroğlu
0000-0002-8354-6783
Türkiye

Suleyman Mete ^*
0000-0001-7631-5584
Türkiye

Publication Date

July 1, 2026

Submission Date

February 11, 2026

Acceptance Date

May 21, 2026

Published in Issue

Year 2026 Volume: 14 Number: 1

DOI

https://doi.org/10.17093/alphanumeric.1886703

IZ

https://izlik.org/JA98YX56BM

Cite

RIS / Bibtex

APA

Başaran, H., Eroğlu, Y., & Mete, S. (2026). A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025). Alphanumeric Journal, 14(1), 1-12. https://doi.org/10.17093/alphanumeric.1886703

AMA

1.Başaran H, Eroğlu Y, Mete S. A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025). Alphanumeric. 2026;14(1):1-12. doi:10.17093/alphanumeric.1886703

Chicago

Başaran, Hüseyin, Yunus Eroğlu, and Suleyman Mete. 2026. “A Comparative Machine Learning Analysis for Forecasting University Satisfaction Scores in Türkiye Using TUMA, YÖK, and URAP Data (2016–2025)”. Alphanumeric Journal 14 (1): 1-12. https://doi.org/10.17093/alphanumeric.1886703.

EndNote

Başaran H, Eroğlu Y, Mete S (July 1, 2026) A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025). Alphanumeric Journal 14 1 1–12.

IEEE

[1]H. Başaran, Y. Eroğlu, and S. Mete, “A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025)”, Alphanumeric, vol. 14, no. 1, pp. 1–12, July 2026, doi: 10.17093/alphanumeric.1886703.

ISNAD

Başaran, Hüseyin - Eroğlu, Yunus - Mete, Suleyman. “A Comparative Machine Learning Analysis for Forecasting University Satisfaction Scores in Türkiye Using TUMA, YÖK, and URAP Data (2016–2025)”. Alphanumeric Journal 14/1 (July 1, 2026): 1-12. https://doi.org/10.17093/alphanumeric.1886703.

JAMA

1.Başaran H, Eroğlu Y, Mete S. A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025). Alphanumeric. 2026;14:1–12.

MLA

Başaran, Hüseyin, et al. “A Comparative Machine Learning Analysis for Forecasting University Satisfaction Scores in Türkiye Using TUMA, YÖK, and URAP Data (2016–2025)”. Alphanumeric Journal, vol. 14, no. 1, July 2026, pp. 1-12, doi:10.17093/alphanumeric.1886703.

Vancouver

1.Hüseyin Başaran, Yunus Eroğlu, Suleyman Mete. A comparative machine learning analysis for forecasting university satisfaction scores in Türkiye using TUMA, YÖK, and URAP data (2016–2025). Alphanumeric. 2026 Jul. 1;14(1):1-12. doi:10.17093/alphanumeric.1886703