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Importance of predictor variables for models of chemical function
OwnerUnited State Environmental Protection Agency - view all
Update frequencyunknown
Last updatedabout 1 year 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).

chemical functionchemical prioritizationconsumer productscosmeticsexpocastexposure modelingmachine learning
Additional Information
KeyValue
dcat_modified2016-08-05
dcat_publisher_nameU.S. EPA Office of Research and Development (ORD)
guidA-mpgn-486
ib1_trust_framework[]
language
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    2907a744-0b04-4b81-ad39-977c3b48aad2
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