Resumen

RIVERA SUGUIURA, Fernando Oday. Decision Tree in Machine Learning. Revista Varianza [online]. 2022, n.19, pp. 38-45. ISSN 9876-6789.

Abstract Decision trees are classification and regression models used in automated learning or also called Machine Learning used in large amounts of statistical data as part of what is now Data Science and Big Data. This article describes the methodology and analyzes the results of the classification decision tree, using variables from the household survey, such as: gender, educational level, occupation and income in Bolivian capital cities. In conclusion, it can be seen that women are less disadvantaged than men in terms of their level of educational training, which influences occupation and income.

Palabras llave : Machine Learning; Machine Learning; data mining; decision tree; classification; entropy; big data analytics.