The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators

Doruk Ayberkin; Özel Sebetci

doi:10.17798/bitlisfen.1646155

The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators

Abstract

This study investigates the effectiveness of advanced machine learning models in predicting IQ levels using a diverse set of socioeconomic and health indicators from global databases such as WHO, the World Bank, and United Nations organizations. The research employs various algorithms, including Linear Regression, Random Forest, Gradient Boosting, Support Vector Machines, Ridge and Lasso Regressions, XGBoost, LightGBM, and a Stacking Regressor to capture both linear and non-linear relationships. Evaluation metrics such as Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and R-squared (R²) reveal that LightGBM and Stacking Regressor models excel in accuracy and generalization. The study highlights the trade-off between model interpretability and predictive power, emphasizing that simpler models offer greater transparency. In contrast, more complex models successfully capture intricate interactions among education, health, and economic factors. The findings provide valuable insights for policymakers and researchers, suggesting that machine learning approaches can significantly enhance understanding of the determinants of IQ and aid in developing targeted strategies in education and social policy.

Keywords

Ethical Statement

The study is complied with research and publication ethics.

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Details

Primary Language

English

Subjects

Statistical Data Science, Statistics (Other)

Journal Section

Research Article

Authors

Doruk Ayberkin ^*
0000-0003-3409-8926
Türkiye

Özel Sebetci
0000-0002-2996-0270
Türkiye

Publication Date

September 30, 2025

Submission Date

February 24, 2025

Acceptance Date

July 1, 2025

Published in Issue

Year 2025 Volume: 14 Number: 3

DOI

https://doi.org/10.17798/bitlisfen.1646155

IZ

https://izlik.org/JA49BG63EA

Cite

RIS / Bibtex

APA

Ayberkin, D., & Sebetci, Ö. (2025). The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 14(3), 1403-1419. https://doi.org/10.17798/bitlisfen.1646155

AMA

1.Ayberkin D, Sebetci Ö. The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2025;14(3):1403-1419. doi:10.17798/bitlisfen.1646155

Chicago

Ayberkin, Doruk, and Özel Sebetci. 2025. “The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 14 (3): 1403-19. https://doi.org/10.17798/bitlisfen.1646155.

EndNote

Ayberkin D, Sebetci Ö (September 1, 2025) The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 14 3 1403–1419.

IEEE

[1]D. Ayberkin and Ö. Sebetci, “The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 14, no. 3, pp. 1403–1419, Sept. 2025, doi: 10.17798/bitlisfen.1646155.

ISNAD

Ayberkin, Doruk - Sebetci, Özel. “The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi 14/3 (September 1, 2025): 1403-1419. https://doi.org/10.17798/bitlisfen.1646155.

JAMA

1.Ayberkin D, Sebetci Ö. The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2025;14:1403–1419.

MLA

Ayberkin, Doruk, and Özel Sebetci. “The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators”. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, vol. 14, no. 3, Sept. 2025, pp. 1403-19, doi:10.17798/bitlisfen.1646155.

Vancouver

1.Doruk Ayberkin, Özel Sebetci. The Effectiveness of Advanced Machine Learning Models in IQ Prediction in the Context of Education, Health, and Socioeconomic Indicators. Bitlis Eren Üniversitesi Fen Bilimleri Dergisi. 2025 Sep. 1;14(3):1403-19. doi:10.17798/bitlisfen.1646155