Return to search results
💡 Advanced Search Tip
Search by organization or tag to find related datasets
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).
Complete Metadata
| bureauCode |
[ "020:00" ] |
|---|---|
| describedBy | https://pasteur.epa.gov/uploads/486/documents/read_me_metadata.docx |
| describedByType | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| identifier | A-mpgn-486 |
| programCode |
[ "020:095" ] |
| references |
[ "https://doi.org/10.1016/j.toxrep.2016.08.011" ] |
| rights | null |
