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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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主要な著者: RENATA ROJAS GUERRA, MARCOS ANTONIO DE AZEVEDO DE CAMPOS, ANDRESSA LOPEZ SOARES
フォーマット: Artigo
言語:Inglês
出版事項: Academia Brasileira de Ciências 2025-12-01
シリーズ:Anais da Academia Brasileira de Ciências
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オンライン・アクセス:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652025001100303&lng=en&tlng=en
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