Importance of predictor variables for models of chemical function

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).

Data and Resources

Field Value
accessLevel public
bureauCode {020:00}
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
describedBy https://pasteur.epa.gov/uploads/486/documents/read_me_metadata.docx
describedByType application/vnd.openxmlformats-officedocument.wordprocessingml.document
identifier A-mpgn-486
license https://pasteur.epa.gov/license/sciencehub-license.html
modified 2016-08-05
programCode {020:095}
publisher U.S. EPA Office of Research and Development (ORD)
publisher_hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
references {https://doi.org/10.1016/j.toxrep.2016.08.011}
resource-type Dataset
source_datajson_identifier true
source_hash b6624162a40ba1cca1137db1b94b12057291330d
source_schema_version 1.1
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • chemical-function
  • chemical-prioritization
  • ckan
  • consumer-products
  • cosmetics
  • expocast
  • exposure-modeling
  • geo
  • geoss
  • machine-learning
  • national
  • north-america
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Kristin Isaacs
maintainer_email isaacs.kristin@epa.gov
metadata_created 2025-11-21T00:24:04.906355
metadata_modified 2025-11-21T00:24:04.906359
notes 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).
num_resources 1
num_tags 15
title Importance of predictor variables for models of chemical function