A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile

Patricio Rodríguez, Alexis Villanueva, Lioubov Dombrovskaia, Juan Pablo Valenzuela. A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile. EAIT, 28(8):10103-10149, August 2023. [doi]

Authors

Patricio Rodríguez

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Alexis Villanueva

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Lioubov Dombrovskaia

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Juan Pablo Valenzuela

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