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Divorce is among the most important events that have an impact on people's life. This paper's objective is to investigate the application of machine learning algorithms to ascertain the efficacy of divorce prediction scales and pinpoint the typical causes of divorce. The study on divorce case prediction using current machine learning methods is presented by the authors in this paper. Following the direct use of classification methods on a divorce dataset, this research applies machine learning algorithms to a divorce prediction dataset and demonstrates that the greatest accuracy rate under tree algorithms was 99%.

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Divorce Prediction: Developing an Interpretable Using Machine Learning

  • 会议论文

  • 发表日期：

    2026年

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  • Mohammed Ngadi,
  • Nadia Saidi,
  • Saadeddine Igamane,
  • Aouatif Amine,
  • Bouchra Nassih

摘要

Divorce is among the most important events that have an impact on people's life. This paper's objective is to investigate the application of machine learning algorithms to ascertain the efficacy of divorce prediction scales and pinpoint the typical causes of divorce. The study on divorce case prediction using current machine learning methods is presented by the authors in this paper. Following the direct use of classification methods on a divorce dataset, this research applies machine learning algorithms to a divorce prediction dataset and demonstrates that the greatest accuracy rate under tree algorithms was 99%.