XGBoost Classifier-Based Model to Predict the Nature of Gender-Based Violence. Case Study: Santander, Colombia

XGBoost Classifier-Based Model to Predict the Nature of Gender-Based Violence. Case Study: Santander, Colombia

Gender-based violence remains a persistent social challenge in Colombia. Despite efforts to address it, statistics show a steady increase year after year. This study addresses the need for predictive solutions by introducing a Machine Learning model using XGBoost, chosen for its high performance in...

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Bibliographic Details
Main Authors: Juan-Sebastián González-Sanabria, Cristian Pinto, Jhon Zuñiga, Hugo Ordoñez, Xiomara Blanco
Format: Article
Language:English
Published: Graz University of Technology 2025-07-01
Series:Journal of Universal Computer Science
Subjects:
Machine learning
Gender-based violence
Predictio
Online Access:https://lib.jucs.org/article/129515/download/pdf/
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