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Towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) MIg analyZeR (mizr) Package
Our work towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) aims to provide plots, tools, methods, and strategies to extract insights out of various machine learning (ML) and Artificial Intelligence (AI) data.Included in this software is the MIg analyZeR (mizr) R software package that produces various plots. It was initially developed within the Multimodal Information Group (MIG) at the National Institute of Standards and Technology (NIST).This software is documented, configured to be installed as an R package, and comes with an example SEMAIT script with an example (system, dataset, metrics, score) ML tuple set that we constructed ourselves.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| accrualPeriodicity | irregular |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "Peter Fontana",
"hasEmail": "mailto:peter.fontana@nist.gov"
}
|
| description | Our work towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) aims to provide plots, tools, methods, and strategies to extract insights out of various machine learning (ML) and Artificial Intelligence (AI) data.Included in this software is the MIg analyZeR (mizr) R software package that produces various plots. It was initially developed within the Multimodal Information Group (MIG) at the National Institute of Standards and Technology (NIST).This software is documented, configured to be installed as an R package, and comes with an example SEMAIT script with an example (system, dataset, metrics, score) ML tuple set that we constructed ourselves. |
| distribution |
[
{
"title": "GitHub Access URL",
"format": "GitHub repository",
"accessURL": "https://github.com/usnistgov/semait_mizr",
"description": "Access URL"
}
]
|
| identifier | ark:/88434/mds2-2953 |
| issued | 2023-04-11 |
| keyword |
[
"analysis software",
"artificial intelligence",
"design of experiments",
"machine learning"
]
|
| landingPage | https://data.nist.gov/od/id/mds2-2953 |
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2023-03-10 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| theme |
[
"Information Technology:Computational science",
"Mathematics and Statistics:Statistical analysis"
]
|
| title | Towards a Structured Evaluation Methodology for Artificial Intelligence Technology (SEMAIT) MIg analyZeR (mizr) Package |
