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Using machine learning techniques for predicting the dropout of undergraduate students in Brazilian courses of statistics

Abstract This research aims to propose a machine learning approach to classify dropout outcomes among students in Statistics undergraduate programs in Brazil, identifying the most important factors associated with this phenomenon. This study uses microdata from the National Institute for Educational...

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Principais autores: RENATA ROJAS GUERRA, MARCOS ANTONIO DE AZEVEDO DE CAMPOS, ANDRESSA LOPEZ SOARES
Format: Artigo
Sprog:Inglês
Udgivet: Academia Brasileira de Ciências 2025-12-01
Serier:Anais da Academia Brasileira de Ciências
Fag:
attrition
dropout
logistic regression
machine learning
random forest
student retention
Online adgang:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025001100303&lng=en&tlng=en
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