Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • ml_uncertainty: A Python module for estimating uncertainty in predictions of machine learning models

    Metadata Updated: July 29, 2022

    This software is a Python module for estimating uncertainty in predictions of machine learning models. It is a Python package that calculates uncertainties in machine learning models using bootstrapping and residual bootstrapping. It is intended to interface with scikit-learn but any Python package that uses a similar interface should work.

    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/10.1007/s00216-018-1240-2
    http://dx.doi.org/10.1080/1062936X.2016.1238010

    Dates

    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022

    Metadata Source

    Harvested from NIST

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date March 11, 2021
    Metadata Updated Date July 29, 2022
    Publisher National Institute of Standards and Technology
    Maintainer
    Identifier ark:/88434/mds2-2120
    Data First Published 2020-01-21
    Language en
    Data Last Modified 2019-06-10 00:00:00
    Category Mathematics and Statistics:Uncertainty quantification, Mathematics and Statistics:Numerical methods and software, Information Technology:Data and informatics
    Public Access Level public
    Bureau Code 006:55
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 21298d76-64ce-44b3-a20c-b947051d4dd8
    Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
    Harvest Source Title NIST
    Homepage URL https://data.nist.gov/od/id/mds2-2120
    License https://www.nist.gov/open/license
    Program Code 006:045
    Related Documents https://doi.org/10.1007/s00216-018-1240-2, http://dx.doi.org/10.1080/1062936X.2016.1238010
    Source Datajson Identifier True
    Source Hash 51e39d4ee4cc0b81072dbfbc7225656f843e19a3
    Source Schema Version 1.1

    Didn't find what you're looking for? Suggest a dataset here.