fellipefrancocouto / multinomial-classification-enem-2019 Goto Github PK

The Exame Nacional do Ensino Médio (also known as ENEM) is a national Brazilian standardized test that allows students to conquer a spot in universities in the country and abroad (Inep, 2016). With millions of examinees from different social backgrounds, this paper aims to use the socio-economic data gathered in the 2019 exam application to predict which social class (A to E, following the methodology explained by Carneiro (2021), and used by IBGE) a given applicant belongs. The micro-data can be retrieved here: https://www.gov.br/inep/pt-br/acesso-a-informacao/dados-abertos/microdados/enem (Inep, 2020). Summarily, 24 questions ask specific information about goods, education, or work (e.g., number of cars a family has, if any; level of education of father; type of job the mother does), and the objective of the algorithm is to use all this data and classify an applicant’s social strat among the five possibilities.