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A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile
School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high consequences and the surge of the problem due...
Autores principales: | Rodríguez, Patricio, Villanueva, Alexis, Dombrovskaia, Lioubov, Valenzuela, Juan Pablo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869310/ https://www.ncbi.nlm.nih.gov/pubmed/36714447 http://dx.doi.org/10.1007/s10639-022-11515-5 |
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