Open AccessAn Application of Machine Learning in Public Policy: Early Warning Prediction of School Dropout in the Chilean Public Education System
Author(s) -
Jerome Smith Uldall,
Cristián Gutiérrez Rojas
Publication year - 2022
Publication title -
multidisciplinary business review
Language(s) - English
Resource type - Journals
eISSN - 0718-400X
pISSN - 0718-3992
DOI - 10.35692/07183992.15.1.4
Subject(s) - dropout (neural networks) , warning system , bespoke , poverty , attendance , psychological intervention , work (physics) , school dropout , logistic regression , early warning system , machine learning , christian ministry , artificial intelligence , computer science , psychology , business , political science , engineering , economic growth , economics , demographic economics , mechanical engineering , telecommunications , psychiatry , advertising , law