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    • Importance of predictor variables for models of chemical function

    Metadata Updated: November 12, 2020

    Importance of random forest predictors for all classification models of chemical function.

    This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 3: 723-732, (2016).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.1016/j.toxrep.2016.08.011

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier A-mpgn-486
    Data Last Modified 2016-08-05
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Data Dictionary https://pasteur.epa.gov/uploads/486/documents/read_me_metadata.docx
    Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
    Harvest Object Id 007118ee-cc3a-42f6-b74b-28d039b8ad93
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:095
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.1016/j.toxrep.2016.08.011
    Source Datajson Identifier True
    Source Hash b6624162a40ba1cca1137db1b94b12057291330d
    Source Schema Version 1.1

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