A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women
Riaz Rahman,
Md. Nafiul Alam Khan,
Sabiha Shirin Sara
et al.
Abstract:Domestic violence against women is a prevalent in Liberia, with nearly half of women reporting physical violence. However, research on the biosocial factors contributing to this issue remains limited. This study aims to predict women’s vulnerability to domestic violence using a machine learning approach, leveraging data from the Liberian Demographic and Health Survey (LDHS) conducted in 2019–2020.We employed seven machine learning algorithms to achieve this goal, including ANN, KNN, RF, DT, XGBoost, LightGBM, … Show more
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