A methodology to design, develop, and evaluate machine learning models for predicting dropout in school systems: the case of Chile
Date Issued
2023-08
Author(s) USM
DOI
10.1007/s10639-022-11515-5
Abstract
School dropout is a structural problem which permanently penalizes students and society in areas such as low qualification jobs, higher poverty levels and lower life expectancy, lower pensions, and higher economic burden for governments. Given these high
