Análisis de efectividad del método ID3 en el proceso de avalúos masivos en la ciudad de Bogota

Published in: Industry, Innovation, and Infrastructure for Sustainable Cities and Communities: Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education and Technology
Date of Conference: July 24-26, 2019
Location of Conference: Montego Bay, Jamaica
Authors: Edwin Perez (Universidad Distrital Francisco José de Caldas, CO)
Adriana Del Pilar Albacando Robles (Universidad Distrital Francisco José de Caldas, CO)
Miguel Antonio Avila Angulo (Universidad Distrital Francisco José de Caldas, CO)
(Universidad Distrital Francisco José de Caldas)
Full Paper: #182


This article presents the general theory that corresponds to machine learning, specifically the decision trees, the application of the ID3 method within the process that constitutes the massive appraisals and an analysis of its effectiveness with respect to the traditional method of linear regression and the observed values; In order to carry out this process we worked with data obtained from the Special Administrative Unit of the District Cadastre (UAECD) and the Cadastral Technical Observatory, corresponding to the Zonal Planning Units 65 Arborizadora, 73 Calandaima and 79 Garcés Navas