This paper explores the impact of the development indicators of Brazilian municipalities in the results of the 2018 Brazilian presidential elections. As the development indicator of a municipality we used the Municipal Human Development Index (MHDI), a known index derived from the Human Development Index (HDI) that has been adapted to Brazilian reality. The MHDI is composed by three sub-indices: education, income and longevity. Using data publicly available, we used six different supervised machine learning classification algorithms for predicting the winner of the elections in municipalities. The results reached 87% of accuracy when using the education and income sub-indices as predictors of the elections. Based on the results obtained, we were able to confirm that municipalities with higher values for education and income sub-indices overwhelmingly preferred the right-wing candidate, while the left-wing option was preferred by those with lower values of the same sub-indices.

本文探讨了巴西市政当局发展指标对2018年巴西总统选举的影响。作为市政当局的发展指标，我们使用了市政人类发展指数（MHDI），这是从人类发展指数（HDI）衍生而来的已知指数，已经适应了巴西的实际情况。MHDI由三个子指数组成：教育，收入和寿命。使用公开可用的数据，我们使用了六种不同的监督机器学习分类算法来预测市政选举的获胜者。当使用教育和收入子指数作为选举的预测指标时，结果达到87％的准确性。根据获得的结果，