International events namely United Nations conferences on population and development, the Declaration on the Elimination of Violence Against Women, Platform of Action for United Nations and Beijing World Conference on Women recognize violence against women as a violation of basic human rights, impediment to women’s autonomy and adverse repercussion on reproductive health. They further acknowledge that lack of data, statistics, and techniques to quantify incidents of violence against women make monitoring and surveillance of quick response and preventive programs challenging. This paper attempts to address this issue by building models using modern data mining techniques namely classification tree and random forest to predict vulnerability of ever married women of age 15 to 40 years to domestic violence incidents in India. The data used in this study is obtained from the National Family Health Survey conducted in India during 1998-99.
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