Machine learning model classifies cities by violence against women prevalence in Brazil, suggesting urgent public health interventions.
Violence against women is a profound infringement of human rights and stands as one of the most severe public health issues globally. It is comprehensively defined as any act of physical, sexual, psychological, or property-based violence perpetrated against a woman, constituting behaviour that transgresses women's dignity, rights, and freedom. In this context, this study introduces a machine learning model aimed at classifying cities based on the potential prevalence of violence against women. The model is trained utilizing a comprehensive city database, generating classifications of cities into three levels: low, medium, and high violence. The chosen algorithm, ExtraTrees, demonstrated a noteworthy accuracy rate of 90%.
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Turet et al. (2025) studied this question.
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