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Type: | Resource | |
Storage: | The size of this resource is 96.4 MB | |
Created: | Dec 15, 2019 at 11:49 p.m. | |
Last updated: | Jun 17, 2020 at 12:38 a.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Views: | 1491 |
Downloads: | 317 |
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Abstract
This is the tabular output data from Random Forest surrogate model used to predict hourly water depth on streets during storm events in Norfolk, VA, USA. This include hourly water depth prediction made by the Random Forest model on testing storm events.
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How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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