In Kenya, gender-based violence (GBV) against women is still a major social issue that has to be addressed immediately and effectively. In response, prognosticating and preventing cases of gender-based violence through the incorporation of machine learning (ML) modeling has become a viable strategy. This study provides critical insights for policymakers, practitioners, and researchers by synthesizing the body of literature on the use of machine learning approaches in predicting and reducing gender-based violence against Kenyan women. When it comes to determining trends, patterns, and risk variables related to gender-based violence, machine learning modeling has a lot of promise......

KEYWORDS;- Machine Learning, Modeling, Gender-Based Violence.