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Tabrizi, Elham, Farzammehr, Mohadeseh. (1403). Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective. , 35(2), 147-157. doi: 10.22059/jsciences.2025.383202.1007887
Elham Tabrizi; Mohadeseh Alsadat Farzammehr. "Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective". , 35, 2, 1403, 147-157. doi: 10.22059/jsciences.2025.383202.1007887
Tabrizi, Elham, Farzammehr, Mohadeseh. (1403). 'Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective', , 35(2), pp. 147-157. doi: 10.22059/jsciences.2025.383202.1007887
Tabrizi, Elham, Farzammehr, Mohadeseh. Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective. , 1403; 35(2): 147-157. doi: 10.22059/jsciences.2025.383202.1007887

Classifying Divorce Cases in Iranian Judiciary Courts Using Machine Learning: A Predictive Perspective

Journal of Sciences, Islamic Republic of Iran
دوره 35، شماره 2، تیر 2024، صفحه 147-157    اصل مقاله (1.19 M)
نوع مقاله: Original Paper
شناسه دیجیتال (DOI): 10.22059/jsciences.2025.383202.1007887
نویسندگان
Elham Tabrizi* 1؛ Mohadeseh Alsadat Farzammehr2
11 Department of Mathematics, Faculty of Mathematics and Computer Science, Kharazmi University, Tehran, Islamic Republic of Iran.
22 Judiciary Research Institute, Tehran, Islamic Republic of Iran
چکیده
This study develops a machine learning model to predict the classification of divorce cases in Iranian Judiciary Courts based on socioeconomic factors. Using data collected between 2011 and 2018 and various machine learning algorithms, the study evaluates the performance of predictive models through a rigorous 10-fold cross-validation process. Results highlight the Random Forest and Neural Network classifiers as the most accurate. Key socioeconomic factors influencing divorce cases, such as unemployment rate and urbanization rate, are identified. The findings provide actionable insights for policymakers to develop data-driven strategies for social policy and resource allocation.
کلیدواژه‌ها
Divorce Cases؛ Data Mining؛ Machine Learning Techniques؛ Iran؛ Judiciary
مراجع
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