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Active Evaluation Software for Selection of Ground Truth Labels

Metadata Updated: July 29, 2022

This software repository contains a python package Aegis (Active Evaluator Germane Interactive Selector) package that allows us to evaluate machine learning systems's performance (according to a metric such as accuracy) by adaptively sampling trials to label from an unlabeled test set to minimize the number of labels needed. This includes sample (public) data as well as a simulation script that tests different label-selecting strategies on already labelled test sets. This software is configured so that users can add their own data and system outputs to test evaluation.

Access & Use Information

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

Downloads & Resources

Dates

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

Metadata Source

Harvested from NIST

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/mds2-2227
Data First Published 2020-07-09
Language en
Data Last Modified 2020-04-28 00:00:00
Category 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 68d97b08-4ef5-448a-94cb-82bbc4893864
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://github.com/usnistgov/active-evaluation
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 12e1285c4b4fb916d3e1c426cbfd61768bc581e0
Source Schema Version 1.1

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