4 - Machine Learning application to predict and interpret streamflow event hysteresis in the Delaware and Illinois River Basins
4_Hysteresis_ML is the fourth child item of this Data Release and includes annotated python scripts to train and test multi-classification XGBoost models using hysteresis index data from streamflow events at select sites in the Delaware and Illinois River Basins (DRB and IRB). Included are individual scripts and markdown output for each 5, 7, and 9 Hysteresis Index - Concentration Index (HI-CI) class methods, output files that contain final features used after recursive feature elimination, final model tuning parameters used, and a environment.yaml file. Additional information can be found in the "Entity and Attribute" section.
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"010:12"
]
|
| contactPoint |
{
"fn": "John (William) Lund",
"@type": "vcard:Contact",
"hasEmail": "mailto:jlund@usgs.gov"
}
|
| description | 4_Hysteresis_ML is the fourth child item of this Data Release and includes annotated python scripts to train and test multi-classification XGBoost models using hysteresis index data from streamflow events at select sites in the Delaware and Illinois River Basins (DRB and IRB). Included are individual scripts and markdown output for each 5, 7, and 9 Hysteresis Index - Concentration Index (HI-CI) class methods, output files that contain final features used after recursive feature elimination, final model tuning parameters used, and a environment.yaml file. Additional information can be found in the "Entity and Attribute" section. |
| distribution |
[
{
"@type": "dcat:Distribution",
"title": "Digital Data",
"format": "XML",
"accessURL": "https://doi.org/10.5066/P1492CKA",
"mediaType": "application/http",
"description": "Landing page for access to the data"
},
{
"@type": "dcat:Distribution",
"title": "Original Metadata",
"format": "XML",
"mediaType": "text/xml",
"description": "The metadata original format",
"downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6827b54ad4be02693eeabdfc.xml"
}
]
|
| identifier | http://datainventory.doi.gov/id/dataset/USGS_6827b54ad4be02693eeabdfc |
| keyword |
[
"Daymet",
"Delaware",
"Illinois",
"Indiana",
"Linear Discriminant Analysis",
"Machine Learning",
"New Jersey",
"New York",
"Pennsylvania",
"Principal Component Analysis",
"USGS:6827b54ad4be02693eeabdfc",
"climatologyMeteorologyAtmosphere",
"datasets",
"environment",
"geoscientificInformation",
"inlandWaters",
"sediment transport",
"streamflow",
"turbidity"
]
|
| modified | 2025-11-19T00:00:00Z |
| publisher |
{
"name": "U.S. Geological Survey",
"@type": "org:Organization"
}
|
| spatial | -92.3730, 36.3151, -71.5430, 44.6530 |
| theme |
[
"geospatial"
]
|
| title | 4 - Machine Learning application to predict and interpret streamflow event hysteresis in the Delaware and Illinois River Basins |
