A graphically based machine learning approach to predict secondary schools performance in Tunisia
S Rebai, FB Yahia, H Essid - Socio-Economic Planning Sciences, 2020 - Elsevier
The main purpose of this paper is to identify the key factors that impact schools' academic
performance and to explore their relationships through a two-stage analysis based on a …
performance and to explore their relationships through a two-stage analysis based on a …
The determinants of mathematics achievement: a gender perspective using multilevel random forest
This paper investigates the determinants of mathematics performance by gender, exploiting
a multilevel random forest approach. OECD PISA 2018 data from 28 European countries are …
a multilevel random forest approach. OECD PISA 2018 data from 28 European countries are …
[PDF][PDF] Interpretable-machine-learning evidence for importance and optimum of learning time
A Nadaf, S Eliëns, X Miao - International Journal of Information and …, 2021 - ijiet.org
This study uses a machine learning technique, a boosted tree model, to relate the student
cognitive achievement in the 2018 data from the Programme of International Student …
cognitive achievement in the 2018 data from the Programme of International Student …
The efficiency of Italian lower secondary schools: combination of DEA with a graphical machine learning approach
L Iorio - 2022 - politesi.polimi.it
This study illustrates the ability of Machine Learning approaches to overcome classical
regression techniques in identifying nonlinear relationships and interaction effects of factors …
regression techniques in identifying nonlinear relationships and interaction effects of factors …