A graphically based machine learning approach to predict secondary schools performance in Tunisia
Sonia Rebai, Fatma Ben Yahia, Hédi Essid
| Year of publication: |
2020
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|---|---|
| Authors: | Rebai, Sonia ; Ben Yahia, Fatma ; Essid, Hédi |
| Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier, ISSN 0038-0121, ZDB-ID 208905-1. - Vol. 70.2020, p. 1-14
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| Subject: | Education | Efficiency | Data envelopment analysis | Directional distance function | Machine learning | Random forests | Regression trees | Künstliche Intelligenz | Artificial intelligence | Data-Envelopment-Analyse | Tunesien | Tunisia | Prognoseverfahren | Forecasting model | Regressionsanalyse | Regression analysis | Bildungsniveau | Educational achievement | Technische Effizienz | Technical efficiency | Allgemeinbildende Schule | School of general education | Effizienz | Schätzung | Estimation |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.seps.2019.06.009 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012242375