L o a d i n g
Organization
United State Environmental Protection Agency - view all
Update frequencyunknown
Last updated5 days ago
Format
OverviewExpoCastExposure modelingchemical functionchemical prioritizationconsumer productscosmeticsmachine learning
Importance of random forest predictors for all classification models of chemical function. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 3: 723-732, (2016).
Additional Information
KeyValue
Dcat Modified2016-08-05
Dcat Publisher NameU.S. EPA Office of Research and Development (ORD)
GuidA-mpgn-486
Harvest Object Id550efde0-35a9-49d0-a10c-5e849b2a2dd3
Harvest Source Idb8e63f83-bbb9-45d3-a3de-09607cc9ff8a
Harvest Source TitleUSEPA Environmental Dataset Gateway
