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Hyperparameter optimization studies of an environmental use-case with InterTwin.

Dorcas Mulaye · CERN

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About

In this study, we explore the effect of tuning hyperparameters in order to achieve the best model performance on an environmental AI-based model for drought predictions in the Alps developed by EURAC Trento in the context of InterTwin under the InterTwin Project. We begin with a brief introduction of both interTwin and the environmental use case, followed by a comparative analysis of different hyperparameter combinations, showcasing their impact on model accuracy, computational efficiency and overall predictive capability..

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The talk

  1. Hyperparameter optimization studies of an environmental use-case with InterTwin. 2024-08-12 · 9 min · CERN's player

Credits and licence

Institution
CERN
Department
CERN openlab Summer Student Programme 2024
Speaker
Dorcas Mulaye
Year
2024
Language
English
Subjects
Earth and environment
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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