Effect of the Municipal Human Development Index on the results of the 2018 Brazilian presidential elections

作者：

Highlights：

• Experimental model to predict results of Brazilian presidential elections

• Using population and development status of Brazilian municipalities as predictors

• Six ML models analyzed where SVC and XGBoost obtained the best results

• Prediction rate of 87% using education and income of municipalities as predictors

摘要

•Experimental model to predict results of Brazilian presidential elections•Using population and development status of Brazilian municipalities as predictors•Six ML models analyzed where SVC and XGBoost obtained the best results•Prediction rate of 87% using education and income of municipalities as predictors

论文关键词：Pattern classification,Exploratory data analysis,Electoral prediction,Human Development Index

论文评审过程：Received 8 September 2020, Revised 5 November 2020, Accepted 9 November 2020, Available online 18 November 2020, Version of Record 24 December 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114305