Aplicación de Random Forest para la predicción del tiempo de aprobación en de trámites de construcción desde el GAD municipal del cantón Cuenca

Abstract

This article analyzes the use of the Random Forest machine learning model to predict the approval time for construction permits at the Cuenca Municipal Government, based on cleaned historical data. Three variable scenarios (qualitative, quantitative, and mixed) were evaluated using metrics such as MAE, MSE, RMSE, and R². The results show that the model does not accurately predict the approval time, according to the metrics obtained.