Spending Level of Displaced Population Returned to La Palma, Cundinamarca (2018): A Machine Learning Application Cover Image

Spending Level of Displaced Population Returned to La Palma, Cundinamarca (2018): A Machine Learning Application
Spending Level of Displaced Population Returned to La Palma, Cundinamarca (2018): A Machine Learning Application

Author(s): Jenny-Paola Lis-Gutiérrez, Mercedes Gaitán-Angulo, Jenny Cubillos-Diaz
Subject(s): Migration Studies, Asylum, Refugees, Migration as Policy-fields
Published by: Transnational Press London
Keywords: Displaced population; expenses; victimising events; Colombia armed conflict; machine learning;

Summary/Abstract: This research aims to know the variables allowing to predict the spending level of the displacement victims that returned to La Palma, Cundinamarca. For this purpose, a measurement instrument was divided into four sections: characterisation of the population, restitution of economic rights, patterns of economic distribution and, finally, social innovation initiatives. We applied the instrument to 100 participants, and we use different Machine Learning algorithms to know the variables that allow predicting the level of expenses of the displacement victims that returned to La Palma, Cundinamarca. The findings permitted to observe that, at the aggregate level, the Random Forest and the SMV have a prediction capacity higher than 84%.

  • Issue Year: 17/2020
  • Issue No: 5
  • Page Range: 639-649
  • Page Count: 11
  • Language: English