Description
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).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| ranksfunctionimp.csv | XLS | ranksfunctionimp.csv | Open resource |