A machine learning framework with a public synthetic data set for early student profiling and outcome prediction.
- DOI
- 10.1038/s41598-026-55514-9
- Published
- 2026 Jun 5
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-55514-9,
title = {A machine learning framework with a public synthetic data set for early student profiling and outcome prediction.},
author = {Agal S},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-55514-9},
url = {https://doi.org/10.1038/s41598-026-55514-9}
}RIS
TY - JOUR TI - A machine learning framework with a public synthetic data set for early student profiling and outcome prediction. AU - Agal S PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-55514-9 UR - https://doi.org/10.1038/s41598-026-55514-9 ER -
APA
S, A. (2026). A machine learning framework with a public synthetic data set for early student profiling and outcome prediction.. Scientific reports. https://doi.org/10.1038/s41598-026-55514-9