2 datasets found
  1. f

    Comparison of ensemble modeling approaches.

    • plos.figshare.com
    xls
    Updated Aug 22, 2024
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    Jonas Botz; Diego Valderrama; Jannis Guski; Holger Fröhlich (2024). Comparison of ensemble modeling approaches. [Dataset]. http://doi.org/10.1371/journal.pgph.0003058.t004
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    xlsAvailable download formats
    Dataset updated
    Aug 22, 2024
    Dataset provided by
    PLOS Global Public Health
    Authors
    Jonas Botz; Diego Valderrama; Jannis Guski; Holger Fröhlich
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The performances are given as the mean MAPE and its standard error in parentheses of the N test windows for each dataset / dataset aggregation. DE (FR) stands for German (France) country level and DE_reg (FR_reg) for German (France) regional level aggregated to country level.

  2. f

    Base models versus baseline ensemble methods.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Aug 22, 2024
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    Click to copy link
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    Jonas Botz; Diego Valderrama; Jannis Guski; Holger Fröhlich (2024). Base models versus baseline ensemble methods. [Dataset]. http://doi.org/10.1371/journal.pgph.0003058.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 22, 2024
    Dataset provided by
    PLOS Global Public Health
    Authors
    Jonas Botz; Diego Valderrama; Jannis Guski; Holger Fröhlich
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The performances are given as the mean MAPE and its standard error in parentheses of the N test windows for each dataset / dataset aggregation. The best three models are colored according to the provided legend. DE (FR) stands for German (France) country level and DE_reg (FR_reg) for German (France) regional level aggregated to country level. The last two rows display the results from the consensus ranking over all datasets and models.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Jonas Botz; Diego Valderrama; Jannis Guski; Holger Fröhlich (2024). Comparison of ensemble modeling approaches. [Dataset]. http://doi.org/10.1371/journal.pgph.0003058.t004

Comparison of ensemble modeling approaches.

Related Article
Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
xlsAvailable download formats
Dataset updated
Aug 22, 2024
Dataset provided by
PLOS Global Public Health
Authors
Jonas Botz; Diego Valderrama; Jannis Guski; Holger Fröhlich
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

The performances are given as the mean MAPE and its standard error in parentheses of the N test windows for each dataset / dataset aggregation. DE (FR) stands for German (France) country level and DE_reg (FR_reg) for German (France) regional level aggregated to country level.

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