Dual-target modeling of team performance using regularized regression with expanding-window rolling validation and engineered feature ablation: methodological insights for small-sample digital public health analytics
- DOI
- 10.3389/fpubh.2026.1923078
- Published
- 2026-08-28
- Container
- Frontiers in Public Health
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fpubh.2026.1923078,
title = {Dual-target modeling of team performance using regularized regression with expanding-window rolling validation and engineered feature ablation: methodological insights for small-sample digital public health analytics},
author = {Ying Zhang and Chenyang Du and Qiquan Fang},
year = {2026},
journal = {Frontiers in Public Health},
doi = {10.3389/fpubh.2026.1923078},
url = {https://doi.org/10.3389/fpubh.2026.1923078}
}RIS
TY - JOUR TI - Dual-target modeling of team performance using regularized regression with expanding-window rolling validation and engineered feature ablation: methodological insights for small-sample digital public health analytics AU - Ying Zhang AU - Chenyang Du AU - Qiquan Fang PY - 2026 JO - Frontiers in Public Health DO - 10.3389/fpubh.2026.1923078 UR - https://doi.org/10.3389/fpubh.2026.1923078 ER -
APA
Zhang, Y., Du, C., & Fang, Q. (2026). Dual-target modeling of team performance using regularized regression with expanding-window rolling validation and engineered feature ablation: methodological insights for small-sample digital public health analytics. Frontiers in Public Health. https://doi.org/10.3389/fpubh.2026.1923078
Source records
- crossref · retrieved 2026-09-25T20:51:57.195Z