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Importance of predictor variables for models of chemical function
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Organization
United State Environmental Protection Agency - view all
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Last updated5 days ago
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Overview

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).

ExpoCastExposure modelingchemical functionchemical prioritizationconsumer productscosmeticsmachine learning
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
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