Interpretable machine learning for predicting school absenteeism at-scale in Brazil: evidence from 22,000 schools

A Abílio Nogueira Barros F Felipe Vieira Roque T Tiago Paulino A Augusto Schmidt F Flavia Galvani R Rafael Oliveira (Department of Plant Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil.) L Leonardo Brandão Marques D Diego Dermeval A Anita Gea Martinez Stefani M Marisa de Santana da Costa E Emanuel Marques Queiroga E Elthon Oliveira C Cristian Cechinel T Thales Vieira

Article Details

Volume / Issue Vol. 16, Issue 1
Published May 19, 2026
ISSN 2045-2322
Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (14)

A

Abílio Nogueira Barros

F

Felipe Vieira Roque

T

Tiago Paulino

A

Augusto Schmidt

F

Flavia Galvani

R

Rafael Oliveira

Department of Plant Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil.

L

Leonardo Brandão Marques

D

Diego Dermeval

A

Anita Gea Martinez Stefani

M

Marisa de Santana da Costa

E

Emanuel Marques Queiroga

E

Elthon Oliveira

C

Cristian Cechinel

T

Thales Vieira