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One of the great concerns in the country is the high frequency of crime in urban areas; Barranquilla is among the 5 most populated cities in Colombia where a variety of crimes affect the population, generating in them a growing perception of insecurity over the years. This article presents a model according to the CRISP-DM methodology, which seeks to analyze the crime in Barranquilla and predict their behavior at different times of the year and in different areas of the city. The Dataset comes from the Metropolitan Police of Barranquilla and contains 31763 records from 2018 to 2022. The results obtained from this research will allow the Metropolitan Police to make decisions for the safety of citizens.

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Design of a Crime Prediction Model for Barranquilla Using Machine Learning Algorithms

  • 会议论文

  • 发表日期：

    2025年

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  • Rodríguez Morales Jeison Estiven,
  • Estupiñan Gomez John Fredy,
  • Carreño Hernandez Pablo Enrique,
  • Simanca Herrera Fredys Alberto,
  • Insignares Conde William Ricardo,
  • Caballero Emeldo

摘要

One of the great concerns in the country is the high frequency of crime in urban areas; Barranquilla is among the 5 most populated cities in Colombia where a variety of crimes affect the population, generating in them a growing perception of insecurity over the years. This article presents a model according to the CRISP-DM methodology, which seeks to analyze the crime in Barranquilla and predict their behavior at different times of the year and in different areas of the city. The Dataset comes from the Metropolitan Police of Barranquilla and contains 31763 records from 2018 to 2022. The results obtained from this research will allow the Metropolitan Police to make decisions for the safety of citizens.