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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]

@article{RodriguezVDV23,
  title = {A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile},
  author = {Patricio Rodríguez and Alexis Villanueva and Lioubov Dombrovskaia and Juan Pablo Valenzuela},
  year = {2023},
  month = {August},
  doi = {10.1007/s10639-022-11515-5},
  url = {https://doi.org/10.1007/s10639-022-11515-5},
  researchr = {https://researchr.org/publication/RodriguezVDV23},
  cites = {0},
  citedby = {0},
  journal = {EAIT},
  volume = {28},
  number = {8},
  pages = {10103-10149},
}
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