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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Bibliografski detalji

Glavni autori:	RENATA ROJAS GUERRA, MARCOS ANTONIO DE AZEVEDO DE CAMPOS, ANDRESSA LOPEZ SOARES
Format:	Artigo
Jezik:	Inglês
Izdano:	Academia Brasileira de Ciências 2025-12-01
Serija:	Anais da Academia Brasileira de Ciências
Teme:	attrition dropout logistic regression machine learning random forest student retention
Online pristup:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025001100303&lng=en&tlng=en
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