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[1D5-OS-24c-01] Analysis of Features Related to Compensation Amounts in Civil Litigation for Marital Infidelity
Keywords:civil law, compensation amount, machine learning, SHAP analysis, marital infidelity
This study constructed a classification model for compensation amounts in civil litigation involving marital infidelity using machine learning. Features were designed based on prior knowledge and extracted from legal case documents using generative AI. SHAP analysis revealed that factors such as the duration of marriage, period of infidelity, and presence of children significantly related to the compensation amounts.
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