A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women

A comparative study of machine learning algorithms for predicting domestic violence vulnerability in Liberian women

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 lear...

Full description

Bibliographic Details
Main Authors: Riaz Rahman, Md. Nafiul Alam Khan, Sabiha Shirin Sara, Md. Asikur Rahman, Zahidul Islam Khan
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Women's Health
Subjects:
XGBoost
Decision tree
K-NN
CatBoost
Domestic Violence
Machine learning technique
Online Access:https://doi.org/10.1186/s12905-023-02701-9

Similar Items

Similar Items