Public or Private K-12 School

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Verdugo et al. (2022) pdf

  • An algorithm predicting dropout from university after the first year
  • Several algorithms achieved better AUC and F1 for students who attended public high schools than for students who attended private high schools.

Queiroga et al. (2022) pdf

  • Models predicting secondary school students at risk of failure or dropping out.
  • Models achieved high performances with an AUROC higher than 0.90 and F1-Macro higher than 0.88.
  • Models achieve better results when new data comes from the secondary education period (e.g., model M2G1-UTU achieved a performance of 95%).
  • First-year primary school zones (rural or urban) and sixth-year assessment-based grouping are two of the most important attributes of this model.